One Useful Thing (Ethan Mollick)x.com · 19 September 2026

I think there are lots of good reasons to worry about whether AI is giving correct answers (especially free models), but, given the contradiction with other recent research suggesting AI is now doing well at financial advice, I was curious about what the methodology was here. I downloaded the report, which is from a company selling different AI financial services products. Given the limited information in the report, it is impossible to judge it's accuracy, since there are only limited examples of questions. However, I am curious if anyone familiar with UK tax law knows whether GPT-6 Pro's defense of Haiku's answer is right, or if Saturn's critique is.

Hiten Shahx.com · 19 September 2026

This is a wild amount of engineering to solve what is becoming a very important problem. How does the agent know the work actually worked? I suspect verification ends up eating a lot more of the agent stack than people expect.

Vantajobs.ashbyhq.com · 18 September 2026 · 2 jobs

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As a Senior Product Designer, Agent Experience at Vanta, you will define how AI agents help security and compliance teams accomplish meaningful work with greater clarity, control, and trust across Vanta and the surfaces where our customers already work. The Agent Experience team builds agent-led experiences that help security and compliance teams achieve outcomes with less manual effort. The team owns the agent harness, including agents, skills, tools, and memory, as well as the patterns that help customers understand, guide, review, correct, and trust agent-generated work. Our goal is to make AI-powered workflows useful, transparent, and dependable in a product where clarity and correctness matter. As a Senior Product Designer on this team, you will shape both the underlying agent experience and the c

LangChain bloglangchain.com · 17 September 2026 · 2 posts

Included Health is an all-in-one healthcare platform that partners with employers and health plans to provide their employees and members with healthcare navigation to services like virtual primary care, behavioral health, urgent care, specialty care, and more. The product experience centers answering medical, financial, or administrative questions via Dot—an AI-powered healthcare guide built on top of a federated multi-agent architecture using Deep Agents and LangGraph.The challenge: healthcare navigation doesn't fit a decision treeHealthcare is one of the few domains where what a person asks for and what they actually need can be entirely different. A member asking "is an artery plaque scan covered by my insurance?" might, with a few follow-up questions, reveal that they are managing elevated cholesterol and have a family history of heart disease. The right response includes the dollar figure—but it may also mean recognizing an opportunity to encourage a conversation with a primary care physician.Historically, health systems handled this kind of routing with structured navigation trees. That appr

YouTube: OpenAIyoutube.com · 16 September 2026 · 3 videos

Hey, I'm glad you're here. Today, we're going to do one simple thing together. Ask ChatGPT a question. You can think of ChatGPT like an assistant that never runs out of patience. You can type a question or say it out loud. If the answer is not quite right, you can ask another question. You don't have to get everything perfect the first time. Here's the message box. This is where you type. And that there, that's the voice button. Tap it to speak your message instead of typing it. Let's start with an easy question. Give me three easy ideas for using ChatGPT this week. And now, we get an answer. Maybe it suggests planning a meal, drafting a message, or learning something new. I don't have to use every idea. I can pick the one that sounds best to me. And now, I can keep the conversation going. Can you make that simpler and give me the first step? And that's really it. One question, then another. You don't need to do anything special. Just say what you want, look at the answer, and ask for it to be simpler, shorter, or more useful. Talk to it like it's a person. One important note. ChatGPT can make mistakes or have outdated informat

Menlo Venturesmenlovc.com · 16 September 2026

Key Findings Consumer AI adoption hardly grew even as spending tripled. The share of U.S. adults using AI rose just three points, from 61% to 64%, while global consumer spend reached an estimated $40 billion in 2026, more than 3x last year. The real growth came from existing users going deeper and paying more: 55% of AI users now pay for at least one AI product, and 46% of payers spend more than they did a year ago, versus 12% who spend less. Power users are driving consumer AI market growth: 55% of AI users now pay for AI, but spending is highly concentrated; the top 14% of payers account for 60% of spending. Payers are also nearly twice as likely to use AI daily (50% vs. 26%) and 5x as likely to use AI agents (65% vs. 13%). AI is becoming a source of income: Nearly half (48%) of AI users have earned money with AI, equivalent to roughly 30% of Americans. Consumers are handing AI more control: 41% of AI users have tried an AI agent, 24% use one regularly, and 32% have let AI act on their behalf without final approval. Among agent users, 92% pay for AI, and 63% use it daily. AI-generated conte

Jared Palmer, VP Eng at Cognitionx.com · 16 September 2026

you can tell @natfriedman built Muse because almost every interaction is under 150ms

Sidebar.iomaggieappleton.com · 15 September 2026 · not counted as a party

This talk is about collaborative planning with agents: divided worlds, boundary objects, and thicker interfaces.The European navigator would begin every journey by making a plan. They would plot a course from maps and general, abstract principles, trying to do most of their thinking in advance.Once at sea, they would compare every move against the plan and work to stay on the course they had set. When something unexpected happened, they would have to revise the plan.The Chuukese navigators work differently: they do not make plans ahead of time.They instead begin with an objective, like reaching a certain island, and set off without a firm route.Instead, they respond to conditions as they arise, reading the wind, waves, currents, sun, and birds and steering accordingly. They’re continuously thinking about how to reach the objective and making ad hoc decisions, constantly improvising based on the context.Suchman is a famous HCI researcher and cultural anthropologist who worked at Xerox PARC https://en.wikipedia.org/wiki/Xerox_PARC in the 80s and 90s. Her book is all about planning and communicating with machines, and despite being written in 1987, it’s still very

Andrew Chen, a16zx.com · 15 September 2026

ok great now I have 3 messy inboxes I have to check: - stuff my agents have done on scheduled loop that I need to review - bookmarked slack messages off Google Docs and slides to review - my actual email inbox lol

Maggie Appletonmaggieappleton.com · 14 September 2026

This talk is about collaborative planning with agents: divided worlds, boundary objects, and thicker interfaces.The European navigator would begin every journey by making a plan. They would plot a course from maps and general, abstract principles, trying to do most of their thinking in advance.Once at sea, they would compare every move against the plan and work to stay on the course they had set. When something unexpected happened, they would have to revise the plan.The Chuukese navigators work differently: they do not make plans ahead of time.They instead begin with an objective, like reaching a certain island, and set off without a firm route.Instead, they respond to conditions as they arise, reading the wind, waves, currents, sun, and birds and steering accordingly. They’re continuously thinking about how to reach the objective and making ad hoc decisions, constantly improvising based on the context.Suchman is a famous HCI researcher and cultural anthropologist who worked at Xerox PARC https://en.wikipedia.org/wiki/Xerox_PARC in the 80s and 90s. Her book is all about planning and communicating with ma

OpenAI newsopenai.com · 14 September 2026

Fyxer uses OpenAI models, fine-tuning, memory, and real user feedback to organize inboxes and draft emails in each user’s voice.

Lenny Rachitskyyoutube.com · 13 September 2026 · 2 videos

Adding things to the product is not the goal. There is this old-school software tendency to say things like Grokbot now has and when you think of completing that sentence, it would be like a new button to press or it'd be a new drop down or it'd be a new integration that you can press plus and add. And instead to reframe it as Grokbot can now, which is I think a much more human way of kind of describing these capabilities. And I think it's forced us to think more in the frame of what are tools and and what are capabilities that we can give Grokbot, not what are new things we can add to the product. Making your bots reliably do really impactful work for you behind the scenes in a way that just works and giving them the capabilities to do that, like that's what users actually care about. And so I think there have been a lot of Grokbot now has things that we've realized are actually just capabilities that don't need pixels. You know, let's kill as many pixels as we can. Those can just be things that manipulates behind the scenes for you and you don't need to directly control.

The Looking Glass (Julie Zhuo)x.com · 11 September 2026

The software of the future promises more power and flexibility for more imagination. We started with use-case software, moving to platform software, moving to all-purpose coding agents. Interface design is shifting rightward. A few things to keep in mind for designers: 1. Make the interface malleable. 2. Let preferences reach past the rule book. A descriptive vision beats fifty toggles. 3. Let feedback change the product. 4. Treat the seams as part of the experience. Nobody lives in one tool. And of course, the hardest of all: help people imagine bigger. Imagination is now the scarce resource.

GitHubgithub.blog · 10 September 2026 · 2 posts

Checking agent-generated code usually means hopping between tabs. Learn how to view diffs, run terminal commands, and preview web apps side by side in the GitHub Copilot app. September 10, 2026 | 3 minutes Share: When an agent makes a change to your code, you want to review it, run it, and see what changed. Great news: now you can do all three without having to leave the GitHub Copilot app. Before, doing those three jobs would mean having to bounce between your editor, terminal window, and web browser. But when these steps live side by side as built-in panels in the Copilot app, checking your agent’s work is simple. Let’s walk through each of the panels in the app and how we’ll use them to complete the AI coding loop. Using the diff panel to review changes The diff panel (a diff is a before and after comparison) shows exactly what lines were added, removed, or changed, with additions highlighted in green and deletions in red. This gives you complete clarity, so you can choose what happens. You can accept changes, lea

Dan Maccaroneuxdesign.cc · 9 September 2026 · 3 posts

From ink and quill to glowing code: Shakespeare’s exploration of prophecy and equivocation, the art of speaking truths that mislead, anticipates the central challenge of our own relationship with artificial intelligence. Every warning we need about AI was written four hundred years ago. What witches, a forged letter, and a haunted prince can teach you about talking to a machine. The sharpest words ever written about artificial intelligence came from a man who never had electricity, a telephone, or a single line of code. He’s been dead four hundred years, and he still wrote thirty-seven plays about it. The obvious place to look for AI is science fiction, and plenty of people have gone looking. Patrick Neeman has spent a good chunk of this year grading Star Wars and The Matrix and Minority Report against the machines we actually built. It’s a great series. Then there’s Shakespeare. He wrote about AI constantly, but he just called it magic. Whether he did it literally or not, look at what “magic” in his plays actually does. It’s a power that a few people command and most people can’t understand. It speaks with total confidence, it’s usually right in

hello@smashingmagazine.com (Carrie Webster)smashingmagazine.com · 9 September 2026

Ever since the commercialisation of the Graphical User Interface pioneered by systems like the Xerox Star and popularised by the original Apple Macintosh, software has relied heavily on point-and-click interactions. If you wanted to book a trip, buy a pair of shoes, or research a health symptom, you were expected to navigate a labyrinth of user interfaces. You click menus, adjust range sliders, fill out multi-step forms, deal with cookie pop-ups, and open dozens of browser tabs just to cross-reference basic information. We have become accustomed to spending more time managing the software rather than actually achieving our goals. That contract is officially changing. Driven by advances in artificial intelligence and large language models, a new generation of web tools is pioneering a radical philosophy: Intent-Driven Design. Rather than expecting our users to learn complex menus and click through elaborate sales funnels, these platforms operate by capturing high-level human goals and silently executing the grunt work in the background. This vision builds on long-standing HCI concepts like Golden Krishna’s “The Best Int

Intercom Blogintercom.com · 9 September 2026

Businesses are earning trust in AI by accident. It should be earned on purpose. People become more accepting of AI the more they use it, but acceptance that’s built on mere exposure is passive. Businesses may benefit, but they’ve often done nothing to earn it. Our latest research shows people’s sentiment toward AI is higher than it was last year, and they believe the technology’s become more capable. Trust is also rising, but it’s more conditional. Download the 2026 AI Sentiment Report → For most people, how much they’re willing to trust AI depends on what they’re asking it to do. For queries that are nuanced or emotionally charged, full trust still needs to be earned. But we also found that trust isn’t fixed. Businesses can design customer experiences that earn user trust. In The 2026 AI Sentiment Report, we explore how. Here’s a look at our findings. Sentiment is warming, but trust is still conditional End users are feeling more positive than last year about interacting with an AI Agent for customer service. Forty-nine percent of people described having positive overall experiences with AI – up nine per

Patrick Neemanuxdesign.cc · 7 September 2026 · 6 posts

The call for an agentic standard: We need to stop shipping the same form four different times

Brexbrex.com · 3 September 2026

You're an experienced product manager. You have a track record of owning complex, user-facing products end to end — setting direction and shipping to real users — with the scope and judgment this senior role calls for. You've built for company admins, and you've built it for customers. You've shipped software to the personas who keep a company running — finance, accounting, HR, payroll, IT, compliance, data — and you know how much this can vary from one company to the next. It matters that this was product you sold to other companies, not an internal system inside your own. Depth in company workflows or in data and reporting, and genuine interest in the other — the queues, approvals, and exceptions an admin works through, or how people get answers out of their own data and what it takes to model it so those answers are right. You have technical depth, and you've worked on systems without a single correct answer. Having built agentic software is a strong plus. Probabilistic, optimization-driven systems where "done" doesn't exist and the work is making it steadily better: AI/ML, search and ranking, marketplace matching, risk and fraud detection, game engines

Perplexityjobs.ashbyhq.com · 2 September 2026 · 2 jobs

In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the native mobile experiences that bring agentic AI and search into people’s everyday lives. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have deep experience building exceptional mobile products: in the application, please highlight the mobile apps or platform experiences you are most proud of shipping. THE ROLE The Mobile Apps team owns the end-to-end Perplexity experience across iOS and Android. This includes how users discover and onboard into the product, search and take action on the go, use voice, camera, notifications, widgets, and other native capabilities, manage subscriptions and preferences, and return to ongoing work across devices.

r/LLMDevsreddit.com · 2 September 2026

EDIT, I am happy to announce I now also have a demo video please check out the vid and give the github the star every bit helps get more people aware of this cool resource I poured hundreds of hours into creating thanks all for the positivity! [https://youtu.be/Nc1L2j8ZuCg?si=QLvPuGmVriYhJQB1](https://youtu.be/Nc1L2j8ZuCg?

quesma.comquesma.com · 2 September 2026 · not counted as a party

Mushroom hunting with LLMs: what can go wrong?

r/ProductManagementreddit.com · 1 September 2026

How are other PMs thinking about AI features that help someone during the job instead of telling them what went wrong afterward. I’ve been looking at this through contact centers. The usual workflow is pretty reactive. Calls happen. A small sample gets reviewed. Managers spot problems. Agents get coached days later. AI changes that a bit. If an agen

r/AI_Agentsreddit.com · 28 August 2026

I feel like every company wants an AI agent handling support now, I get it for basic stuff but I wonder where the line is, if a customer has a messy issue or is already pissed off then forcing them through AI I think it can make things worse. I think the better setup is letting AI handle repetitive requests and handing off to a human when things get complicated.

Decagonjobs.ashbyhq.com · 26 August 2026

About Decagon Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences. Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel. We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others. We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team. About the Team Decagon is the leading conversational AI platform, empowering every brand to deliver concierge customer experiences. Industry-defining enterprises like Cash App, Square, Chim

Anthropicjob-boards.greenhouse.io · 26 August 2026

Experience designing and shipping complex workflows, enterprise/B2B SaaS, developer tools, or API products end-to-end Proven track record of executing end-to-end on large and complex products, or a series of products, in ambiguous environments A portfolio demonstrating user-centered design thinking and polished UI craftsmanship Proficiency with modern design and prototyping tools, such as Figma Experience using AI tools such as Claude Code as a creative partner in your own design practice Experience prototyping with front-end code (e.g., HTML/CSS/JS) Excellent collaboration and communication skills to work effectively with cross-functional teams and influence without authority Passion for crafting scaled, highly impactful, safe and beneficial artificial intelligence technologies to enable new possibilities

Vercel changelogvercel.com · 25 August 2026

Agents increasingly write TypeScript programs to coordinate tools and process their results. Once those programs touch real applications, some steps require authentication, while others need human approval.Executing that code with eval gives it the same access as the application around it, including its secrets and internal services, and leaves no durable way to pause at those boundaries.Today, we're releasing the Run SDK, a package for executing untrusted JavaScript and TypeScript without giving it direct access to your application or system. Applications expose narrow host functions and can interrupt execution for authentication or human-in-the-loop approval. The program resumes after a decision without repeating completed work.pnpm add runCopy link to headingA small interface to the hostThe Run SDK evaluates JavaScript or type-stripped TypeScript in a fresh QuickJS context inside a worker thread, with no direct route to Node.js or the network.The application exposes selected operations through hostFunctions. These are regular functions that become callable globals inside the sandbox:import { run } from 'run';const result = await r

blog.ronbronson.comblog.ronbronson.com · 19 August 2026

9 August 2026 A Model for Dangerous Agent Situations Reading this twitter thread (yeah, I know) about agents and escalation paths, left me thinking more about some earlier posts about the mostly dormant agent experience space and how there should be more content about these paths when they’re discovered. The short version about the thread suggests an alarm call for an agent to relay back that they’ve reached a plac they cannot go any further and need human intervention, rather than trying to brute force their way to a solution. (Presumably, to make you the human pleased with their work and also to churn as many tokens as possible. Both with agents and sales, it’s always be closing I guess.) One reply to the thread referenced algedonic signalling, which sent me back to Stafford Beer. In the Viable System Model, an algedonic signal is an exception channel: information that can move outside the normal reporting structure when actual conditions have departed badly enough from what the system expects. Beer wasn’t thinking about “agent welfare” and to be honest, neither am I. At least it relates to anthropamorizing an agent’s welfare, when in re

Hamel Husainx.com · 15 August 2026

Grok Bot is cool because it is "self-driving" (like Codex desktop). It can create new threads/tasks and communicate b/w them It's also a simple interface and decent computer use + nice iOS app. I found computer use lagging behind Codex slightly but its worth trying it, especially if you have a Cursor Ultra sub https://t.co/zKGOk8KKwl

Scott Belsky, a16z, ex-Adobe CPOx.com · 15 August 2026 · not counted as a party

consumer products ultimately succeed because of how people feel about themselves using them, and how quick the tricks of past eras (ego analytics, surprise + delight, and hooks to appeal to our initial laziness, vanity, and selfishness in the first mile of a new product experience) are now being reimagined, but still hold true. - new agent experiences must yield a quick ROI on the time and data

Nicole Alexandra Michaelisuxdesign.cc · 14 August 2026

The gap between what AI is reliable for and what it looks reliable for is where damage happens, and enablement fails How to lead the change with AI in a nutshell I’ve been building with AI for three years now. I started by trying to scale UX writing via plug-ins and now have agents, workflows, MCPs, and apps under my belt. I feel comfortable building with AI, and have adopted it into many of my day-to-day tasks. Yes, I do think AI has gotten better over those 3 years. But I think we’re telling ourselves a story that isn’t true. AI has gotten very good at one thing: Starting. The blank page problem. Replacing lorem ipsum. But while starting is faster than ever and error rates may have dropped, the verification burden hasn’t. I think errors have gotten harder to spot, and models have gotten better at defending them. For many, getting from zero to a rough first version is the hardest emotional hurdle in any task, and AI clears it in seconds. No more staring at a blank page if you don’t want to. But I think that’s the ceiling. Once you’re past “getting started” and into “getting it right,” the story changes. The hallucination problem isn’t solved

OpenAIjobs.ashbyhq.com · 14 August 2026

About the Team OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The Identity team builds the foundational systems that enable people, organizations, devices, and agents to securely access OpenAI products. The team works across consumer and enterprise experiences, including account structures, sign-in, authentication, re

Ben Tossellx.com · 13 August 2026 · not counted as a party

grok bot not showing thinking is prob the future (for fast models) but if a task is taking more than a few seconds, it should output text to say what its doing nothing worse than seeing 'is working' for 10's of seconds +

Brian Lovin, Notionx.com · 13 August 2026

First impressions of Grok Bot: - With Grok Bot you don't juggle threads, you juggle named/personified agents. This seems like a ~fine mental model: hire a team of specialists that can talk among themselves to get work done. - But this creates some problems when you want to multitask within a single agent. If you give an agent a chunky task that takes a long time, you don't really want to interrupt

Nikunj Kothari, FPVx.com · 13 August 2026 · 2 posts · not counted as a party

Grok Bot is a fantastic release.. the UX, the design, the onboarding :chefs-kiss: But I go back and forth on this a lot: Will users (personal and business) want one super agent that holds all the context or sub agents that are designated to do a slice of tasks? If we treat agents as humans, then the Grok Bot design makes a ton of sense. It allows us to compartmentalize tools, context, outcomes for

Drew Breunigx.com · 12 August 2026 · not counted as a party

Feel like there’s going to be 100+ multiplayer coding harnesses in the next 30 days. It’s going to ironic when the network effect for coding agents turns out to be the same network effect as the SaaS era. SaaS is dead, long live SaaS.

Karri Saarinen, Linear CEOx.com · 12 August 2026

Interesting aspect is both user usage is up, and mcp is up. And kind of makes sense that as agents do more work, you can parallelize more, the mcp usage becomes more too. @linear is both destination and source for agents and humans

UX Collectiveuxdesign.cc · 10 August 2026 · not counted as a party

Bottle your judgment, Chat is the wrong UI, Design.md

Geoffrey Litt, Notion, ex-Ink & Switchx.com · 9 August 2026 · 2 posts · not counted as a party

Hm, is PDF the ideal format for agents submitting complex forms? Because you can review a draft a lot more easily than with a web form

Peter Yangx.com · 9 August 2026 · 2 posts

@ChatGPT Trying to convert normies to go from the web to the desktop app to enjoy the power of agents and even with my manual onboarding it's confusing.

Maggie Appleton, GitHub Nextx.com · 9 August 2026 · 2 posts · not counted as a party

This is a pretty bro idea but I still like it. Realistically more like a half marathon hackathon, but you get a break to redirect the agents every ~20-60 mins so less intense. Most people could probs run a half without much training.

Luke Wroblewski, Sutter Hillx.com · 7 August 2026 · not counted as a party

this demo still resonates because it makes computing... natural. - no voice commands to memorize, uses natural language - no query syntax, uses fuzzy search - no cursors, uses direct manipulation/touch - etc. lets people act like people, not computers.

Emil Kowalski, Linearx.com · 7 August 2026 · not counted as a party

Why friction might actually be a thing we need: https://t.co/pJqOePf6PW

Renderjobs.ashbyhq.com · 7 August 2026 · 2 jobs

Render 7+ years of product design experience , ideally on developer tools, infrastructure, APIs, or another technical, credibility-driven product. You may have worked as a product designer, a designer who codes, or something harder to label — the title matters less than the work. At this level, we expect someone who has owned a major surface or product area end to end and set the direction others built against. Craft that spans GUI and non-GUI surfaces. You have an eye for detail that borders on obsessive — the wording of an error, the shape of a command, the structure of an API response, the spacing of a dashboard — and you're as rigorous about a CLI message or an SDK method as you are about a screen. Your portfolio shows strong web UI work alongside text-first thinking: command design, API ergonomics, MCP/SDK design, docs-as-experience, or conversational interfaces. You design the whole journey, not a surface at a time. Your portfolio shows end-to-end experiences — a user carried coherently across interface boundaries, CLI to API to SDK to dashboard and back — where you designed the model once and expressed it everywhere it appears, rather than polishing one surface in isolation.

Gustojob-boards.greenhouse.io · 6 August 2026 · 3 jobs

A systems thinker with 8+ years of product management experience building complex, data-intensive platforms — ideally in customer service, CRM, or enterprise SaaS environments where routing, orchestration, or workflow automation were core to the product Deep familiarity with AI/ML concepts — particularly intent classification, NLP, and agentic systems — with a track record of translating model capabilities into tangible product outcomes at scale A hands-on builder who can move fluidly between strategy and execution — equally comfortable whiteboarding architecture with engineers, influencing senior stakeholders, and diving into the data to pressure-test assumptions Strong cross-functional instincts and a demonstrated ability to align Sales, Service, and Engineering teams around a shared product vision, even in the face of competing priorities and organizational complexity A bias toward simplicity — someone who defaults to first principles when solving hard problems, knows when to tear down legacy systems rather than patch them, and measures success by how much friction they remove for customers and teammates alike If you don't thi

PostHogposthog.com · 6 August 2026

The screens worth building now do different work. You're designing for moments like:Approval – the agent has the change ready and needs a yes. Can the human tell what they're saying yes to in two seconds?Review – not a summary of what changed. The change itself. A diff beats a paragraph.Undo – when the agent gets it wrong, there needs to be a way back.

Asanaasana.com · 6 August 2026 · 2 jobs

Asana 6+ years of product management experience, ideally focused on AI products, collaboration software, or enterprise workflows. Proven ability to craft intuitive, high-quality user experiences in close partnership with design and user research. Customer-facing track record with enterprise customers, with a demonstrated capability to translate customer insights into sharp product decisions. Deep familiarity with modern AI tools as a daily user, with informed opinions about human-agent collaboration and the judgment to build trustworthy, useful experiences. Strong written and verbal communication skills, with the ability to influence cross-functional partners and leadership. Experience building products for specific verticals, or a background in product-led growth or 0→1 products, is a plus. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.

r/userexperiencereddit.com · 5 August 2026 · not counted as a party

AI can now generate a convincing interface faster than most teams can properly review it. The obvious problems are easy to catch: broken layout, inconsistent spacing, missing responsive states. The harder problems sit underneath the screen: \* the generated flow assumes a product decision nobody made \* empty, loadi

uxdesign.ccuxdesign.cc · 4 August 2026

Why AI is changing who reads first.7 min readAug 2, 2026--Press enter or click to view image in full sizeOne meaningful move surrounded by infinite possibilities. As AI makes generation abundant, the differentiator is no longer producing options, it is knowing which one deserves to be made. AI generated image, Aurélie Radom ©The audience changedFor decades, designers had one audience: people.Every method, framework and principle we adopted revolved around understanding human needs and designing experiences people could navigate, trust and enjoy. Human-centered design was never simply a methodology. It became the foundation of our profession. That foundation hasn’t disappeared, but something has changed around it.Today, many digital experiences have another audience before they ever reach a human. An article written to answer someone’s question may first need to be understood and cited by a language model. A developer trying to understand an API asks an AI assistant before opening the official documentation. A user searching for information may receive an AI-generated answer before ever visiting the original source.The first interaction with our work now happ

Shield AIjobs.lever.co · 3 August 2026

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia

Aurélie Radomuxdesign.cc · 2 August 2026

Why AI is changing who reads first. One meaningful move surrounded by infinite possibilities. As AI makes generation abundant, the differentiator is no longer producing options, it is knowing which one deserves to be made. The audience changed For decades, designers had one audience: people. Every method, framework and principle we adopted revolved around understanding human needs and designing experiences people could navigate, trust and enjoy. Human-centered design was never simply a methodology. It became the foundation of our profession. That foundation hasn’t disappeared, but something has changed around it. Today, many digital experiences have another audience before they ever reach a human. An article written to answer someone’s question may first need to be understood and cited by a language model. A developer trying to understand an API asks an AI assistant before opening the official documentation. A user searching for information may receive an AI-generated answer before ever visiting the original source. The first interaction with our work now happens through another machine. These systems are no longer only tools we use during creation. They hav

blog.jim-nielsen.comblog.jim-nielsen.com · 31 July 2026

Every zeitgeist comes with new design idioms unique to its challenges. Many of them disappear as fads change, but others bake themselves into deeper parts of existing software interaction paradigms. For example, there’s the hamburger menu (≡) which saw a proliferation during the rise of mobile due to the constraints around screen size. It has since spread to many other parts of software interaction design and will likely remain prevalent for a long time as a terse way of indicating “more menu-type content here”. As another example, before AI what were the connotations of the sparkle emoji ✨? Personally, I don’t know, but now it means AI. (AI = sparkles and rainbow colors — it’s funny when you think about it. They should’ve just thrown unicorns in there for the trifecta. AI = sparkles, rainbows, and unicorns ✨🌈🦄. Apt.) Some patterns are very specific to the interactions inherent to the nature of AI as a technology. For example: streaming text. This is a pattern made for and refined by chat interfaces, so it may not have tons of utility for reuse across other software interaction paradigms. Then there are other patterns that’ve been refined by AI interfaces and are

github.comgithub.com · 31 July 2026 · 4 threads · not counted as a party

qm – Multiplayer agent harness for work

marbleos.commarbleos.com · 31 July 2026 · not counted as a party

Show HN: What should the GUI for AI agents look like? I completely agree with you that the chat interface is very undercooked and there's a big untapped space for agent-first interfaces, perhaps even replacing traditional desktop metaphors. You're spot on with your premise. With that said, from the material you show in your homepage, it still seems like you're doing something very similar to OpenA

Darren Yeouxdesign.cc · 30 July 2026

Why the best UX often disappears. And when it shouldn’t When every interaction is frictionless, nothing sticks. Why the future of good UX depends on knowing when to slow users down. (image source: ABC Radio National) The paradox of “forgettable” design “Make the experience forgettable,” a senior business leader once told me. That might sound like a joke to a designer who prides himself on creating memorable moments. But as the head of airport operations, he was dead serious. Singapore Airlines handles thousands of travellers every day. For these passengers, joy comes from the in-flight experience and on-time departures. The last thing the operations team wants is for a customer to get stuck in a long queue or hit a snag like a failed boarding pass, only to face their wrath and complaints. At the airport, smooth is invisible. One reason Changi Airport remains among the best in the world is its relentless investment in removing friction. State-of-the-art passport-less immigration clearance was once thought impossible. Today, Singapore residents and eligible travellers simply walk through automated gantries without whipping out their passports. Withi

Webflowjob-boards.greenhouse.io · 30 July 2026

<p>Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.</p> <p>We're looking for a <st

Figma blogfigma.com · 30 July 2026

Direct manipulation stages every edit in the prompt box so you can review each change before you commit to it, or discard anything that doesn’t look right. Once you’re happy, Make applies the changes and updates the underlying code, so what you build visually is what actually ships.

Figma release notesfigma.com · 30 July 2026 · not counted as a party

The new properties panel brings a more direct way to build in Figma Make. Click any element to adjust its properties by hand, or annotate a spot on the screen and let the agent make the change.

@uxdesignccuxdesign.cc · 29 July 2026

Information architecture is the orderly wing. Most content stores are the heap at the edge of the frame. AI assisted.UXInformation ArchitectureAIDesignEditor PicksEvery AI problem you chase — hallucinations, wrong answers, poor retrieval — traces back to the IA projects you never funded. Now’s the time to fund them.12 min readJul 26, 2026--For twenty years, information architecture was the discipline nobody funded. The job titles disappeared—I was one back in the day—and now it’s an art (and science) that needs to return. Teams didn’t align. Companies started showing their underwear.Doing it well is less about structure than about getting an organization to agree on one way to name and arrange things. Every team brings its own vocabulary, so aligning them is slow, political, and thankless, and it loses every quarter to whatever ships a feature. The work stayed invisible, and so did its failures.Then AI arrived, and the invisible foundation showed up on the balance sheet.The same gaps that once cost you a confused visitor now cost you a hallucination, a wrong answer, or an agent that confidently retrieves garbage and acts

bensbites.combensbites.com · 28 July 2026 · 3 posts

Hey folks, I’m back from holiday and straight back to messing around building. I’ve been kinda obsessed and enamoured with the demos from tldraw. It’s a free canvas/whiteboard app but their offline app (recently updated) is cool because agents can do all sorts with it; create visualisations to explain stuff, make games, interactive blog posts and a ton of other stuff. Like turning our logo into a little animating mascot. He’s called ‘bites’ btw. or little widgets like a timezone checker @tldraw offline ","username":"bentossell","name":"Ben Tossell","profile_image_url":"https://pbs.substack.com/profile_images/1878086921726943233/vOx1kjeP_normal.jpg","date":"2026-07-27T11:40:18.000Z","photos":[{"img_url":"https://substackcdn.com/image/fetch/$s_!7Ccf!,w_1028,c_limit,f_auto,q_auto:best,fl_progressive:steep/l_play_button_usfui2,w_88,e_colorize:0/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F__ss-rehost__tw-video-preview-13_2081706218259636225.jpg","link_url":"https://t.co/MMiGh3VMAS"}],"quoted_tweet":{},"reply_count":2,"retweet_count":1,"like_count":9,"impression_count":11165,"expanded_url":null,"video_url":"https://video.twimg.com/amplify_vide

Smashing Magazinesmashingmagazine.com · 28 July 2026 · not counted as a party

Many of the AI tools we interact with take the form of text boxes. But what if there was a different way to interact with AI? Oleksii Hrzhehorzhevskyi explores a different approach to creating a new AI assistant and how designers can navigate the field as AI continues to change it.

Latent Spacelatent.space · 28 July 2026 · not counted as a party

There are roughly 100x more people who use code than who can write code. As code that “just works” becomes easier to generate, this group may be the biggest prize of all — if you can get the agentic interface right. A key trend we have been tracking over at AINews is the absolute explosion in Codex usage this year, with MAU n

Holger Maassenux4dotcom.blogspot.com · 27 July 2026

When people think about User Experience, they often think about apps, websites or software. They think about interfaces, buttons, navigation and polished screens.I have spent my career designing exactly those experiences.But one of the most important lessons I learned came very early—during my first years at Pixel-Factory in Germany. There, long before AI became part of our daily conversations, we shared a simple belief:User Experience never ends at the screen. In fact, it never began there.Many designers explain UX with the iceberg metaphor. The interface—the screen, the buttons, the visual design—is only the visible tip above the water.Beneath the surface lies everything that truly shapes an experience: expectations, emotions, trust, context, mental models, accessibility, culture and human behavior. The invisible part is what keeps the iceberg afloat.Long before I became a UX designer, I studied architecture and urban planning. There, I learned that the quality of a place is determined far less by what people see than by everything they don't. A building stands because of its

Hugo Palomaresmicrosoft.design · 27 July 2026

The future I expect looks familiar in terms of who produces good work. It just looks different in how much of it they produce, and how fast it is. Embodying the Ju/’hoansi I see a similar pattern in how we work with AI. It’s one I’ve been leaning on as I figure out how to turn AI into an effective productivity partner and collaborator in my own day-to-day. In this day-and-night analogy, daytime is the operational work we do with AI, the standard back and forth between human and agent that produces huge amounts of output. Then comes night. Gathered around the fire, we start to review and dig deeper into all of that output: reflecting on what has happened and solidifying our thinking. We seek to understand more deeply. These “nighttime” interactions – focused on driving understanding – are the vital balance to the high-output, more transactional “daytime” ones. As someone who works at the intersection of engineering and design, I spend a lot of time thinking about how we might design a UX that accounts for both types of interaction – day and night. What kind of affordances allow users to review output at scale

Saikiran Bavandlablog.gopenai.com · 27 July 2026

AIArtificial IntelligenceMachine LearningSoftware DevelopmentLLM4 min readJul 13, 2026--Your AI Remembers Nothing. That’s Why Users Quit After Week One.Your users open the app. They re-explain who they are. Again.Same context. Same preferences. Same frustrations. Every single session.They don’t file a bug report. They just stop coming back.The Core Problem Most Teams MisunderstandStateless AI isn’t a technical limitation anymore. It’s a product decision — and most teams are making it by default, not by choice.The assumption is that users tolerate re-prompting because they understand “how AI works.” They don’t. They compare it to every other software they use. Spotify remembers their taste. Gmail knows their contacts. Your AI asks them to start over.That gap kills retention before it ever shows up in a dashboard.Each Session Starting From Zero Is a UX TaxClaim: Making users rebuild context every session is invisible friction that compounds into churn.Why it happens: Most AI products are built around a single-turn or short-session mental model. The LLM call is stateless by design. Developers ship it that way

Vitaly Friedmansmashingmagazine.com · 27 July 2026

7 min readAI, UX, DesignMany companies assume everyone craves new AI features. But the reality is that most people don’t want more AI — at least not in the way most AI leaders envision it. Brought to you by Design Patterns For AI Interfaces, friendly video courses on UX and design patterns by Vitaly.Many companies silently assume that everybody wants more AI in their lives. That people are craving new AI features, new AI products, new AI workflows — that would all magically replace all existing outdated practices and broken ways of working.But in reality, it seems like people don’t want more AI at all — at least not in the way most AI leaders envision it. Unsurprisingly, many AI features have low adoption and retention — at a very high cost of delivery, and a high risk of reputation damage.The AI People Don’t NeedIt’s remarkably difficult to make a strong argument with senior leadership, but AI is not a value proposition. New AI features don’t magically make for happy or excited customers. Because AI features are often bolt-ons and separate tools for employees to use, they typically take people out of their regular way of working.AI is pr

Discordjob-boards.greenhouse.io · 24 July 2026

Discord has a highly engaged community of millions of daily active users who use the platform for many different reasons, but there’s one thing that nearly everyone does: play video games. Discord plays a uniquely important role in the future of gaming, and we are focused on making it easier and more fun for people to hang out before, during, and after playing games. We're seeking a strategic Staff Product Marketing Manager to build and lead the go-to-market strategy for Discord's Unified Developer Platform, focused on helping game developers and publishers build richer social experiences, grow their communities, and deepen player engagement through Discord's platform. You'll drive product adoption by building robust go-to-market and Business Development enablement programs, defining activation goals, and partnering closely with Business Development, Developer Operations, Product, and Developer Relations to successfully bring new platform capabilities to market. This role will play a key part in accelerating adoption of Discord's Unified Developer Platform across the Gaming industry. If you're a self-starter and team player

Tony Aliceanngroup.com · 24 July 2026

Summary: As more interface work is AI-generated, the output of research and design shifts from documents written for humans to curated context that guides AI. Context Is the New UX Deliverable Everyone Is Designing AI-Ready Deliverables DESIGN.md A Hypothesis: UX.md Curation, Not Handoff Open Research Context Is the New UX Deliverable AI models produce output based on context. Context is everything the model can see when it does the work: your request, plus whatever instructions, standards, examples, and background information come along with it. Context enables you to avoid middle-of-the-road output. For example, an AI model has been trained on a huge number of search screens, so when you ask for one, it produces an average search screen. It knows what software generally looks like. It doesn't know your users, your domain, your design standards, nor anything your team has learned from research. Unless that knowledge is in the context, the model designs without it. Context leans a model’s output in a particular direction. Think of a skilled builder designing your house without ever meeting your family. They design the average house.

Midjourneyjobs.ashbyhq.com · 24 July 2026

ABOUT THE ROLE Midjourney is an independent research lab exploring new mediums of thought and expanding the imaginative powers of the human species. We are a small, self-funded team focused on design, human infrastructure, and AI. We're looking for a senior product designer who's spent years building software. You'll design core product experiences across web and mobile, wo

Nielsen Norman Groupnngroup.com · 24 July 2026 · not counted as a party

As more interface work is AI-generated, the output of research and design shifts from documents written for humans to curated context that guides AI.

Product Talk (Teresa Torres)producttalk.org · 23 July 2026 · 2 posts

Listen to this episode on: Spotify | Apple Podcasts How do you build trustworthy AI diagnostic tools in one of medicine's most historically under-researched areas? In this episode of Just Now Possible, Teresa Torres talks with Tulsi Patel (Director of Product and Technology), Lorna Brightmore (Head of Data and AI), and Jack Pickard (Head of Engineering) at Hertility, a UK and Ireland-based women's health tech company. Hertility combines an in-depth online health assessment with at-home hormone testing and clinician-reviewed reports to help diagnose conditions spanning menstruation to menopause. Built on seven years of data linking symptoms, blood results, and pelvic ultrasound scans for over a million women, the team walks through two AI products in development: Gyn.AI, a Bayesian network that gives clinicians probability-based diagnoses instead of binary calls, and a scan automation pipeline that classifies ultrasound images, measures follicle counts and ovarian volume, and drafts clinical letters using an agentic loop that checks its own output against patient data before a human ever re

Sunojobs.ashbyhq.com · 22 July 2026

ABOUT SUNO We're building the world's first creative entertainment platform, where the entire world can feel the joy and fulfillment of making music. Music is for everyone: Our users include everyone from grandmothers creating songs for their loved ones, to Grammy winners using Suno Studio, our power tool, to make the most popular hits in the world. Building the future of entertainment requires ambition. The pace is fast, the problems are hard, and the work demands ownership and intensity. For the right people, it’s incredibly rewarding: a chance to shape a new medium, work with a small team that cares deeply about quality, make music, drink too much coffee, and build something that millions of people use to express themselves in ways that were never before possible. Suno is the fastest growing consumer entertainment company and the leader in AI music. We are backed by leading investors including Bond Capital, Menlo Ventures, Lightspeed Venture Partners, IVP, Forerunner, Union Square Ventures, Alkeon, Quiet, Matrix Partners, Schroders Capital and, NVentures (venture arm of NVIDIA). Founded in 2023 by Harvard alumni with a shared passion for music, Suno has qui

vaughntan.orgvaughntan.org · 17 July 2026

9/7/2026 ☼ uncertainty ☼ innovation ☼ public sector ☼ risk ☼ experimentation tl;dr: Organisations say they want innovation but keep killing it. The problem is that the organisational decision-making machinery assumes you already know enough to justify a big bet, and genuinely new things never cross that bar. Big visible bets also trigger a predictable organisational immune response that neutralises, ejects, or quarantines anything new and unfamiliar. The way through is to make new things small, boring, and apparently routine, so they don’t set off the immune system in the first place. Adapted from my keynote at the Public Innovation Lab Congress, Santiago, June 2026. Japanese has a character, 青, that is used to refer to both “blue” and “green”: 青い空 is “blue sky,” 青草 is “green grass.” Now imagine a typical scenario where the protagonist in the action movie is defusing a bomb with the help of their handler in a faraway situation room: “The instructions say to cut the “青” wire to shut off the timer.” When one word covers two different things, dangerous mistakes can happen. We do this with the word “risk,” using it for almost every kind of not-knowing about the future.

Figmaboards.greenhouse.io · 17 July 2026 · 2 jobs

6+ years of experience as a full-time Product Manager Experience building products that support structured workflows or multi-step creation pipelines Strong product intuition paired with the ability to operate in technically complex environments A track record of expanding products to new audiences while preserving depth for power users Excellent cross-functional leadership skills and the ability to align teams around ambitious, evolving strategies and comfort navigating ambiguity and defining structure in emerging product spaces

Affirmjob-boards.greenhouse.io · 13 July 2026

<div class="content-intro"><p>Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.</p></div><h3><strong>About the team</strong></h3> <p>Product Design at Affirm drives busi

Georgia Kenderova, Tanner Kohlernngroup.com · 10 July 2026

Summary: Handoff willingness, flexibility, proactivity, emotional responsiveness, and transparency help you build trustworthy AI chatbots that guide users well. Designing a site-specific AI chatbot requires making key decisions even before user testing begins. The five chatbot qualities described in this article — handoff willingness, flexibility, proactivity, emotional responsiveness, and transparency — can guide those early design decisions and provide a framework for evaluating existing chatbots. (But don’t neglect real testing. Real users will help you finetune the specific behaviors that will best serve their needs.) Getting these qualities wrong can be costly. People are still forming mental models of site-specific AI chatbots and figuring out whether to view them as human customer-support representatives or frontier-level LLMs. Many chatbots fall short of both types of expectations and quickly get abandoned by users. 1. Handoff Willingness: Respect Users' Desire to Speak with Real People 2. Flexibility: Go Where the User Wants to Go (Within the Chatbot’s Defined Guardrails) 3. Proactivity: Anticipate Needs and Suggest Next Steps 4

Katie Schmidt, Jessa Anderson, Hayley Mortinnngroup.com · 3 July 2026

Summary: Different enterprise roles need different types of explanations for AI outputs. Enterprise AI is a hot topic, but many organizations still struggle to achieve meaningful employee adoption and usage. This article focuses on what it takes to develop and deploy AI solutions that both organizations and employees can trust. In particular, it examines how AI explainability helps the people building enterprise AI (developers, system administrators, and domain experts) understand AI-system behavior, build trust in it, and support AI adoption. Because these technical roles bring different goals, expertise, and contexts, explainability cannot be one-size-fits-all. AI Explainability in the Enterprise Three Categories of Enterprise AI Users A Shared Scenario: Configuring an AI Help-Desk Agent The Role of Explainability in Fostering Trust Designing Explainability for Real Enterprise Impact AI Explainability in the Enterprise Helping users understand how AI systems work is a core best practice for building trustworthy tools and products. Common approaches include creating traceability, source attribution, and explanations of rea

hello@smashingmagazine.com (Victor Yocco)smashingmagazine.com · 2 July 2026

The design community has entered a period of conversational tunnel vision. Because Large Language Models (LLMs) are trained on dialogue, the industry has collectively decided that the chat bubble is the natural home for every AI capability. While the chat interface is a viable and powerful option for many tasks, it is one tool in an expansive toolkit. UX and Product teams must be intentional about the modalities we choose for how users provide their data and commands, and how the system presents its output. Modality is the way a person uses their senses to interact with a system: seeing, hearing, touching, speaking, or typing. To pick the best method, you need to think about what the user wants to do, where they are, and how much cognitive effort they are already expending. This guide offers a clear way to figure out the best approach for any product, using two tools to assist in the process: a Task Audit and an Input/Output Alignment Matrix. Picture a traveler jogging through a loud airport terminal after a sudden gate change. They are dragging their roller bag and carrying a coffee in the other hand. They need to

Notionjobs.ashbyhq.com · 2 July 2026

Notion You have well-rounded skills and experience to run projects independently end to end. 5+ years of working experience. You seek to understand the needs of customers then explore and advocate for the strongest user experiences to solve their problems You enjoy untangling vague conceptual problems and have a sharp intuition for the most accessible mental models and flows, so users can immediately start gaining value out of the product. You create clear, intuitive, and visually appealing human interfaces. You care about business needs, implications, and practicality of your designs. You don't get stuck on pretty UI or deep abstractions and can balance between craft, speed, and the bottom line. You have strong beliefs, loosely held. You're a good listener who collaborates well with different stakeholders. You observe and internalize all inputs and feedback to help you reach an optimal decision. You understand how to tell stories using both words and visuals, and strategize the best ways to drive alignment. You value working cross-functionally with project management, engineering, research and data — as well as design peers.

Taras Bakusevychuxdesign.cc · 30 June 2026

An applied framework for designing AI interfaces that support appropriate reliance, user control, transparency, and responsible autonomy. Traditional interfaces are built around predictable behavior. A control has a defined function. A workflow has known states. Errors can be anticipated and recovered from. AI systems are less deterministic. They introduce a property that most interface conventions weren’t designed for: the same input can produce different outputs. The same model can feel useful, confusing, or dangerous depending on the interface and instructions around it — product quality is not determined by model capability alone. AI introduces interaction problems that conventional UI patterns don’t resolve: When should the system suggest, ask, or act? How should uncertainty appear on screen? What evidence should accompany a generated answer? How much autonomy does a given action earn? Etc These are not cosmetic questions. They determine whether users can judge output, recover from mistakes, and remain responsible for consequential decisions. The central design question is How do we help users rely on AI appropriately? This arti

Dropboxjobs.dropbox.com · 22 June 2026

<h2 class="p1"><span class="s1">Role Description</span></h2> <p><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qotuz85zdz84z2z70zz83z4z65znz66zfy8i33h4wz80zssk24z75zdcrz87z">Dropbox’s Design team is looking for a Principal Designer to help define the future of content activation for Dropbox customers

hello@smashingmagazine.com (Pratik Joglekar)smashingmagazine.com · 16 June 2026

In 2024, an Air Canada customer asked a chatbot about bereavement fares. The bot confidently gave him a refund policy that didn’t exist. The airline refused to honor it. A tribunal ruled in the customer’s favor. The bot hadn't decided anything; it had predicted an answer based on patterns in its training data. The company treated that prediction as policy. This is the risk at the heart of designing with AI today: probabilistic systems wrapped in deterministic interfaces. The AI offers a guess, the interface presents it as truth, and the user, or the organization, acts on it. Humans are wired for deterministic thinking. We prefer to believe that past actions determine future outcomes. Flip a coin 999 times and get heads every time, the deterministic mind assumes the coin is rigged. The probabilistic mind accepts that the 1000th flip could still go either way. That second mindset is harder to hold onto, but it is exactly what designers need right now. Products operate in complex, nonlinear environments, and AI is accelerating that complexity. When designers and product teams treat AI outputs as the answer rather t

Databricksdatabricks.com · 11 June 2026

Databricks 8+ years of product design work experience A bachelor's or master’s degree in design, computer science, human-computer interaction, or related field Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders Can execute beautiful visual and interaction work that’s rooted in a data-driven, and well-researched UX process A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally You have a unique combination of technical knowledge and visual design skills which allows you to design powerful and intuitive tooling for technical users. A portfolio demonstrating your end-to-end design process, from inception to production Experience designing products that bridge the gap between technical and business users is a strong plus. Familiarity with data, analytics, AI, or enterprise software is highly valued. The strongest candidates have demonstrated experience using modern development and AI-assisted coding tools to prototype ideas, understand implementation tradeoffs, and collaborate deeply with engineering teams. Pay Range Tr

Packy McCormicknotboring.co · 10 June 2026

Welcome to the 192 newly Not Boring people who have joined us since Monday! Join 269,285 smart, curious folks by subscribing here: Subscribe now Hi friends 👋, Happy Wednesday and welcome back! A couple of months ago, my friends Adam and Ben at Genius Ventures asked if they could introduce me to one of their favorite founders, Markie Wagner. The Markie Wagner? The Choose Good Quests Markie Wagner? The drop an all-timer then go quiet for years, cooking up something spoken of in hushed tones Markie Wagner? The grew up inside of a computer and dreamed as a young girl in Southern California, seriously, of making computers do the work that humans shouldn’t have to Markie Wagner? Of course I wanted to meet Markie Wagner. So we met a month ago at Soho Diner and I ordered a milkshake and she asked them to cut up a bowl of fruit. She asked for my lore, which was boring, and I asked for hers, which she weaved non-stop for the next hour, landing so naturally on why she’s building what she’s building that it seemed almost pre-destined. She also told me, before everyone else came to the same conclusion, that tokenmaxxing was bullshit, because behind closed doors, the Fort

Synthesiajobs.ashbyhq.com · 3 June 2026

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill de

Linearjobs.ashbyhq.com · 29 April 2026

Linear 7+ years experience designing software Courage to ask questions, experiment, and advocate for what you feel is right Humility to accept feedback, adapt your thinking, and iterate toward the best solution Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami) Ability to distill problems and feedback, then design clear, focused solutions Effective written and verbal communication skills — much of our work is async What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: Competitive salary and equity Employee-friendly equity terms including early exercise in the US and extended exercise windows Daily meal and coffee stipend on every workday Paid co-working space or desk Health coverage (based on country requirements) 5 weeks paid vacation, plus local statutory holidays 4 months paid parental leave Paid month off after 4 years & every 2 years thereafter Regular team events and off-sites Remote-first with no required commute Learn how we think and work How we hire at Linear Linear blog post Part I and Part II of how we redesigned the Linear UI Read me a stor

Sierrajobs.ashbyhq.com · 11 April 2026

ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started

Ourajob-boards.greenhouse.io · 3 April 2026

5+ Years of Experience: A proven track record in Senior or Staff roles at the intersection of Product Design and emerging technology, specifically in AI/ML-driven environments.

GitLabjob-boards.greenhouse.io · 19 March 2026

GitLab A strong portfolio showing how you think and iterate, not just what shipped, ideally including AI/ML products, agentic workflows, or natural language interfaces where user control, transparency, and trust were key considerations. Experience designing for AI workflows. You understand the unique challenges of multi-step, agentic, or automated processes and how to design for them effectively. A high bar for craft. You care deeply about the details of interaction and visual design, and help others raise their standards too. Experience conducting research and translating findings into clear, well-reasoned design decisions. Proven ability to work iteratively in agile product development, balancing speed with quality and making smart tradeoffs without losing sight of the longer-term vision. Experience designing in complex enterprise contexts, with working knowledge of Git, HTML/CSS, accessibility best practices, and design systems. Excellent communication skills. You can simplify complexity, articulate design rationale clearly, and bring people along through your process.

Replitjobs.ashbyhq.com · 26 January 2026

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role We're seeking a Senior Product Manager with exceptional product sense to drive the user experience vision for

Harveyjobs.ashbyhq.com · 12 September 2025

Harvey 8+ years of experience designing products in a fast-paced environment, with a portfolio that demonstrates your best work. Ability to tackle complex challenges and transform them into simple, intuitive experiences. Ability to change altitude from design details to big picture thinking, while maintaining a high pace of execution and quality bar. Deep understanding of design systems and a strong sense of visual and interaction design craft. Experience conducting user research and applying insights to design decisions. Excellent communication and storytelling skills to articulate design concepts and rationale.

Abridgejobs.ashbyhq.com · 2 September 2025 · 2 jobs

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE As our Staff Product Designer, you won't just be designing software. You'll be redesignin

Oktaokta.com · 30 May 2025

Okta - 10+ years of human-centered product design experience with a portfolio showing strategic ownership and strong craft. - A true self-starter — you've built experiences or practices from scratch, without a roadmap handed to you. - Comfortable designing for headless, low-UI, API-first surfaces. - Experience designing for AI agents or agentic systems is a huge plus — you've tackled invisible-UI, trust, or automation problems before, not just discussed them. - Track record owning onboarding/self-service experiences at scale, backed by PLG and conversion metrics fluency (Pendo, Heap, or similar). - Comfortable in ambiguity, technical conversations, and fast-moving, undefined team settings. - A multiplier — you elevate others and build alignment without formal authority. - Bonus: engineering/front-end background. Why Join Us - Help write the vision, not just implement it — a founding voice on AX and Growth - Shape two frontiers at once: invisible AX for agents, and growth for AI-powered developers. - Operate at staff scope, with real influence over strategy and craft. - We believe in augmentation, not replacement — and in design as problem-solving, not artifacts. - Be a founder of a