Conversational AI Fluency Assessment
Measure, prove, and improve your AI fluency in conversation
What it does
AISA (aisa.to) — the world's first conversational AI fluency assessment, now a full platform. 2,100+ assessments completed at 85.6% completion rate. Take a 20-min adaptive conversation, get a free detailed report across 11 criteria, earn a verifiable certificate, and improve with a personalised AI Coach delivered via WhatsApp. Our published rubric validated against Anthropic (93% overlap) AI Fluency Index. Enterprise teams get an AI fluency analytics dashboard with industry benchmarks and more.
AI fluency assessment through conversation by AISA. Not a quiz, not a test. Free AI skills report, official AI certification and improvement plan.
Learn your AI fluency and AI persona in minutes by talking to AISA — a precise AI Fluency Assessment agent that adapts to your skill level and profession. AISA is a conversational AI skills assessment that measures how effectively professionals use artificial intelligence — scored across 5 dimensions and 11 criteria, with a free AI fluency report and optional AI certification. AI fluency is the ability to work effectively and naturally with AI — not just knowing what it is, but using it, evaluating its output, and integrating it into how you work. AISA measures it across five dimensions: 11 criteria, each scored from evidence in your conversation. Read the full framework · Get your free AI…from aisa.to
Does the same job
all alternatives →More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com