Expertise for AI agents

Models know facts.
Experts know what to do with them.

Decision models your agent consults over MCP — the connector standard Claude, Cursor, and ChatGPT already speak. The expert sets the criteria and stop rules; your agent applies them and returns the verdict. Judgment you plug in, not prompts you paste.

Try an expert Build a model

Verification packetMCP

Stop: [BLOCK] Launching both sides of a marketplace simultaneously with no seeded supply
Weigh: MUST WEIGH Hypothesis leverageMUST WEIGH Time to signalALSO WEIGH Wow density
Ask: What number, by what date, makes us kill or double down?

Your agent returns: approve · approve_with_changes · reject · escalate

From the MVP-scoping demo model — written by Avva so anyone can try a connection. Named experts publish their own. Avva hands your agent the protocol; your agent reaches the verdict.

Why this works now

Agents already sit inside real work. Connectors are native. What’s still missing is a specific person’s standards — not another generic chatbot.

Agents decide in-workflow

Claude, Cursor, and ChatGPT already draft plans and ship changes. The expensive mistake is the judgment call, not missing a fact.

Connectors, not copy-paste

MCP lets your agent call an expert before it commits — without leaving the thread or pasting a prompt library.

Privacy-safe judgment

Experts publish reusable rules, not private stories. Buyers get a protocol; sources stay with the expert.

Three steps to a verdict in your own workflow

No prompt libraries, no engineering. If you can paste a link into your AI tool’s settings, you can finish this.

01 · Pick

Pick someone experienced

Read the public profile like a short resume: role, where they worked, what they judge by.

02 · Try

See the protocol first

On their page, preview the real checklist Avva returns for a decision — no key, no connector. Avva does not write a verdict; your agent does after you connect.

03 · Connect

Connect once, keep working

Paste one connector into Claude, Cursor, or ChatGPT. From then on your agent works under the expert’s rules: asks their questions before locking an approach, gates drafts on their stop rules, reviews against their bar before anything ships — on your tokens.

Full walkthrough

Two sides, one marketplace

Buyers plug judgment into an agent they already use. Experts publish reusable rules under their own name — not chat clones or scraped corpora.

For buyers

Consult before you commit

Browse by domain, try a decision live, then paste one connector. Coverage badges describe breadth of approved decisions — not predictive accuracy.

Try an expert

For experts

Publish under your name

Connect the assistant you already use and it builds the model itself — reads the decisions you approve, works out the rules, ranks them, checks its own draft. You approve a list of titles and skim the result. Sign in only when you claim ownership.

Build a model

In the marketplace

Open the marketplace to see who has published — and what a connection looks like.

See all

Open marketplace

Nothing you didn’t approve gets published

Experts approve every decision before it shapes a model, and the published model carries reusable rules, not their stories. Details in the Privacy Center. Free during beta.