Interactivity

Show HN: Create an onboarding flow on Flutter in 5 min

Hey Flutter devsIf you've shipped apps before, you know how important it is to have an efficient and polished onboarding flow. It's the first thing users see and often the reason they leave.You've probably first focused on the core of your app, what makes it different. And now, you want to push it to the store, but you know you have to build an onboarding flow... and it's a little painful.Onboarding flows are deceptive. They are super easy to build technically, but very diffi

Why is real-world ASR still ~85% when lab models claim >95%?

Curious to hear what approaches people are taking, what the bottlenecks are, and whether anyone here is pushing toward the goal of "AI that understands you, the first time."I've been diving into the gap between benchmark ASR performance and real-world speech. Models like Whisper and Deepgram show impressive >95% accuracy in ideal conditions. But in the wild — accents, noisy environments, emotional speech, code-switching, overlapping speakers — accuracy often drops sharply, ofte

The craft of the instruction

Writing AI prompts isn’t just a new technical skill — it’s how we can make our own thinking visibleIn this collage: Baby photo in front of Frank Lloyd Wright’s Fallingwater in Mill Run, Pennsylvania; “Towers on String — Variant Dispersed” by Haegue Yang, 2013; example of a writing instruction with corresponding output.Image credit: Personal photograph (Fallingwater, 2005); Haegue Yang, “Towers on String — Variant Dispersed,” 2013, Henry Art Museum; original writing instruction document by author

Ask HN: Anyone doing production image editing with image models? How?

Hey HN — I’m building an app where users upload “real life” clothing photos (ex. a wrinkly shirt folded on the floor). The goal is to transform that single photo into a clean, ecommerce-style image of the garment.One key UX requirement: the output needs to be a PNG with transparency (alpha) so we can consistently crop/composite the garment into an on-rails UI (cards, outfit layouts, etc.). Think “subject cutout that drops cleanly into templates.”My current pipeline looks like: 1. User-uploa

Show HN: Intentify – Point at your UI, describe a change, get a PR

Intentify is now generally available.It turns UI change requests directly from your app into structured tickets and pull requests.How it works: 1. Point and describe – Click on any element in your app and describe the change in plain language. 2. Review the proposal – Intentify generates a preview by updating the page. You review and approve 3. Create a PR – A pull request is opened for engineers to review and merge.Engineers stay in control. Nothing auto-ships.Intentify adapts to your code patt

Show HN: utils.live – Developer utilities that run entirely in your browser

I kept opening different websites for simple dev tasks — formatting JSON, encoding Base64, testing regex patterns. Each one had ads, signup walls, or sent my data to a server. I wanted a single place where everything runs client-side with nothing leaving my browser.Each tool is a stateless pure function defined with Zod schemas. The schemas validate input at runtime and also generate the UI automatically — editor language, form fields, and output format are all inferred from the schema shape. To

Show HN: UseWhisper.dev – AI Code Reviewer (please test and roast it)

Hey HN!I built UseWhisper.dev — an AI code reviewer that analyzes your code diffs, PRs, or snippets and returns review feedback instantly. It runs in the browser with no signup required, and is meant to give developers quick second opinions on logic, style, security, and best practices.https://usewhisper.devWhat it does:Paste a diff, GitHub PR link, or code snippetGet line-by-line intelligent feedbackSuggestions on readability, errors, anti-patternsNo login, minimal UI, fast responsesW

Show HN: Audit8n – Free, privacy-first n8n workflow analyzer

I built Audit8n (https://audit8n.com) to solve a problem I kept running into: n8n workflows that looked fine on the surface but had hidden security vulnerabilities, performance bottlenecks, and reliability issues.The tool runs 100+ checks across three categories:• Security: hardcoded secrets, public webhooks without auth, RCE via Execute Command nodes • Performance: aggressive polling intervals, AI token bloat, N+1 SQL patterns • Reliability: fragile loops without error handling, block

Show HN: I built a Chrome extension to let my OpenClaw Bot remote in

Sharing a build-in-public update.I’ve been working with my assistant “Gideon” (running inside OpenClaw) to solve a very specific problem:I want the agent to control my real browser (logged-in sites, my normal cookies, my actual tabs) - not a sandboxed headless browser - while still keeping the control surface simple and auditable. This means my OpenClaw won't break the moment a site gets "clever".So... We built it! I say we but it was mostly Gideon and I was along for the ride as

Field study: prototypes over mockups

A practical guide to designing with code in 2026Someone drops a link in a thread — not a deck, not a Figma file — something you can click through, interact with. The conversation shifts from opinions to behavior. This keeps happening at Dust. We’ve been experimenting with making prototypes our default design artifact. The question driving us:What should designers produce to help teams decide faster while raising the quality bar and reducing implementation waste?We don’t have a final answer yet.

Intelligences in Practice: The 4C Cycle for Effective AI Collaboration

This paper introduces the 4C Cycle: Context, Competence, Co-Creation, and Continuous Oversight, a sociotechnical framework for responsible AI integration. First developed in an executive playbook, the 4C model is extended here through enterprise research at Salesforce, educator discussions, and early exploration in small business contexts. The 4C Cycle offers practical strategies to align AI with human goals, build competence through judgment rather than rote tool use, and sustain oversight afte

Co-designing a Large Language Model Benchmarking Dataset for Primary Care with Nurses in Kenya

Large Language Models (LLMs) are increasingly applied in healthcare, yet their training and evaluation often lack grounding in frontline realities in low-resource settings. By grounding content in nurses’ everyday practice, this work contributes a localized benchmark for LLM training and evaluation and offers a replicable model for ethical, inclusive AI design responsive to care realities in resource-constrained environments. It documents the participatory co-design, curation, and descriptive ch

Collective Intelligence Online: An Ecological Framework for AI and Community Moderation

Online communities are vital civic infrastructure, yet the moderators who sustain them remain poorly supported by existing tools. This article introduces a framework for translating ethnographic insight into AI products that effectively augment human judgement. We understand community moderation as collective intelligence—emerging from the interplay of moderators, members, rules, and technical systems. Our approach, which we describe in this case, combined three methodological innovations: 1. ap

Somatic Intelligence: How Wearables Can Reengage, not Replace, Bodily Awareness in the Age of Generative AI

This paper presents a new paradigm for mobile health product design based on somatic intelligence, which integrates findings from interoception science and somatic psychology, new research with somatic psychotherapists and wearable users, and interaction design. We develop the concept of somatic offloading, demonstrating how wearables can both support and erode users’ felt bodily experience. We propose a shift from designing for improved accuracy to a dialogic paradigm. In this model, generative

Intelligence as Situated, Ethical, and Attentive: Ethnographic Refusal as a Perennial Frontier

Across industries, intelligence is defined narrowly as algorithmic prediction, optimization, and control. Through a strategic design research project for a multinational company, this paper redefines intelligences to include the relational, embodied intelligence cultivated by sales agents through years of practice. Drawing on Actor-Network Theory and Tim Ingold’s concept of meshwork, the analysis reveals how predictive systems operationalize intelligence as categorical and closed, while human ac

Collaborating with AI as a Team Member in Qualitative Research Analysis

Collaborating with AI as a teammate rather than a tool is reshaping how research teams approach qualitative analysis. This paper draws on six case studies from Stby, a design research agency, to share empirical evidence into this shift. The examples reveal how AI integration accelerates analysis, alters methods, reshapes team dynamics, and requires researchers to adopt new roles. Alongside opportunities, challenges have emerged around AI overload, trust gaps, participant privacy, and the develop

Unlocking Social and Financial Returns: Ethnography as the Key for Getting Impact Investing Right

This case study highlights the critical role of ethnography for social impact investors operating in fields where the exercise of human intelligence is key to achieving desired outcomes. It points toward a broader framework for impact investors to discern when and how ethnography is relevant for evaluating investment targets, ensuring that solutions foster sustainable positive impact without compromising the vital social conditions that underpin their intended benefits. Using primary education i

Encounters between Artificial and Human Intelligences in Early-Stage Innovation Work

This paper offers frameworks and guidance for the integration of AI into research workflows by examining foundational qualities of AI and the kinds of UX and market research that will create value as AI technologies continue to evolve. We tie the use of AI in early-stage innovation research to outcomes of product and service design. While we recognize AI, synthetic data, and AI-generated users have the potential to enhance aspects of the design and innovation process, particularly around desk re

Empowering the Field: Designing Adaptive, Open, and Collaborative BIM Viewer Ecosystems

This case study offers actionable insights for organizations facing challenges in adopting and using digital tools. It shows how prioritizing usability, flexibility, and role-specific workflows can empower users, driving tool usage and trust. This research was conducted with Autodesk’s Visualization Design team and has combined field-level observations with insights from BIM technologists. These perspectives connect office and field practices to uncover barriers to adopting BIM Viewer in constru

The Intelligence of Workarounds: Scaling Virtual Health Centers for Reproductive Care

This study explores how crisis-driven workarounds can frame innovation. Given scheduling and website constraints, health center managers repurposed health center web pages to surface telehealth options. Planned Parenthood Federation of America leveraged these adaptations as prototypes and formalized them into a scalable model: Virtual Health Centers. These centers reduced operational burden and appointment lead times, and increased booked appointments, and stabilized access during clinic closure