Expertise for AI agents
Models know facts.
Experts know what to do with them.
Avva turns how a seasoned expert decides into expertise that works inside your agents — and makes the call the way they would, on your real situation. It learns privately on their own machine, comes proven against their actual past decisions, and knows when to hand a hard one back to a human.
Free during beta — no query charges · Works with Cursor, Claude & your own agents · Built on macOS
Prompts set the rules. Fine-tuning changes the tone. Neither knows how a specific person decides when the answer isn't written down anywhere. That judgment is built in real work, over years — and until now it walked out the door when they did. Avva captures it, proves it matches, and puts it to work for your team.
Why teams trust it
Judgment you can actually rely on
Private by design
An expert's expertise is built on their own machine — not in Avva's cloud. Their raw work never leaves their computer.
Zero data policy
Avva never stores employer data, raw activity, repos, docs, or tickets. Ever. Only the expertise an expert reviews and approves goes to market.
Proven, not promised
Every expert's expertise is checked against their own real decisions before it's published — so it behaves the way they actually would, not the way a generic prompt guesses.
For experts
Get paid for how you think, not your calendar
Consulting doesn't scale. Courses go stale. A custom GPT is just you writing prompts on a Saturday. Avva captures how you actually decide — privately, on your Mac — and turns it into expertise teams rent around the clock. You review and approve everything before it goes live, and your raw work never leaves your machine.
- Earn every time a team puts your judgment to work — free during beta, your price after
- Built on your own machine — your raw work is never uploaded
- Nothing goes live until you've reviewed and approved it
- A public expert profile that travels with your reputation
| Expertise | Queries | Earned |
|---|---|---|
| Platform lead | 48,200 | $1,928 |
| Review gates | 15,400 | $616 |
| On-call triage | 7,400 | $296 |
How it works
Connect your work
Install Avva for Mac and point it at the work you already do — git, docs, tickets, whatever you use. Everything stays on your machine.
Avva learns how you decide
Quietly, in the background, Avva learns the calls you make and why. Nothing is uploaded — your judgment takes shape privately, on your own Mac.
Review & publish your expertise
You check it, anonymize, and approve. Only then does your expertise go live for teams to connect in one click — free during beta.
For teams
An expert on call, inside your agents
Your agent is about to make a big call. It checks with an Avva expert first — and gets a real answer: do this, not that, or "this one needs a human." The way that specific expert would decide, on your actual situation. Every expert is free to connect during beta.
Proposing: split checkout into a separate service before the Q2 launch.
Hold off. Team's still small and there's no tracing yet — they'd keep it as one service and revisit later.
Consolidate observability first. Revisit the split once baseline metrics are in prod.
What this isn't
- Not a prompt pack
- Static text. It doesn't know your situation, and it can't make a call.
- Not fine-tuning
- Expensive, locked to one model, and stale the day someone's thinking changes.
- Not "ask an expert" chat
- Slow, one-off, and impossible to plug into how your agents actually work.
- Not cloud surveillance
- Nothing is uploaded to be processed. It's built on the expert's own machine.
Avva is in beta
Everything is free while we launch — no query charges, no card required. One account works for connecting expertise and publishing your own judgment.
Publish & earn
Install Avva for Mac and build your expertise privately on your own machine. Keep it free or set a launch price.
Create account → TeamsConnect their expertise
Plug proven expert expertise into Cursor, Claude, or your own agents. Free during beta.
Create account →Already on Avva? Sign in · Team today, expert tomorrow — add publishing anytime