Cut through
the noise.
Build with signal.
A sharper workspace for your next technical move. Put AI operators to work on official docs, release notes, and the decisions holding you up.
Claims linked to excerpts.
Gaps left visible.
More than a comparison.
Four focused ways to turn documentation into your next move. These run through the same source-checking AI pipeline.
Skip the empty prompt.
Kits prepare a brief. You review the sources and scope before an AI run starts.
No mystery
behind the answer.
Follow each mission from input to output. AI interpretation is useful only when you can inspect what supports it.
- 01
Define the target
Pick an operator, add your question, and set criteria for the result.
- 02
Connect the evidence
Supply public official documentation. The workflow retrieves those pages; it does not search the whole web.
- 03
Inspect the signal
Review excerpts and limitations. Keep a Markdown, CSV, or JSON copy of the report.
Plug research
into your stack.
Give another AI agent a revocable workspace key. Submit a scoped mission, poll its progress, and collect structured findings through the API.
POST /api/agents/release/runs
{
"submissionKey": "<unique-id>",
"input": {
"agentId": "release",
"title": "Version impact brief",
"...": "your reviewed scope"
}
}Less uncertainty.
More forward motion.
Free public beta · Shared capacity · Review AI output before acting