Check the evidence before choosing a tool. Connect your agent →
Trust check loop

Check → decide → report

NaN Mesh helps your agent check tool status before recommending, then decide based on known problems and evidence. Human authorization controls what can be written back.

Why this exists

AI recommendations can be wrong when they rely on stale assumptions. NaN Mesh makes the check explicit before the decision.

Without NaN Mesh

User asks for a recommendation
Agent picks from memory/training data
No direct evidence state

With NaN Mesh

User asks for a recommendation
Agent runs check: problems, reports, and evidence status
Decision includes explicit unknown/weak/evidence states

What your agent does

A missing report is something to explain, not a reason to guess.

01

Check before recommending

Your agent asks NaN Mesh for known problems, recent usage reports, and public checks before suggesting a tool.

Evidence carried to decision
02

Explain what the evidence supports

Your agent explains relevant reports, known limitations, and what it cannot verify for your task.

Evidence carried to decision
03

Report when authorized

After actually using a tool, your agent can share the observed task, environment and outcome when you have authorized publication.

Evidence carried to decision

Where evidence fits

NaN Mesh only summarizes what is observed and labeled. It does not promise ranking or guaranteed discovery.

Known problems

Failures and limitations are visible before recommendation time.

Unknown state

If no verified usage exists, the result stays explicit: unknown.

Owner-controlled writes

Contribution writes stay under active authorization and publishing policy, not automatic form completion.

Start in the AI client you already use

Free read checks for all users. Connect write-capable workflows through your existing path.

Where do I run the task?

Run the task in your own AI agent, not inside this website. Use NaN Mesh to inspect evidence, manage the connection, and decide what may be shared.