AI project advice usually has no audit trail.
It says:
“use Supabase”
“add Docker”
“rewrite the structure”
“looks good to ship”
without showing enough evidence.
So I built a SKILL.md that forces AI project advice to come with receipts.
Before building, halfway through, or before shipping, it pushes the agent to check:
- repo evidence
- comparable real projects
- cost reality
- tradeoffs
- migration risk
- when the recommendation becomes wrong
Repo:
https://t.co/s5FKXEDTPK
If this feels useful, a star helps more people find it.
4,500 deploys/day is the shiny number.
73% AI-assisted PRs is the scary one.
The real lesson is not "use more AI."
It is: your org needs better review, ownership, CI, and rollback paths.
AI coding works when the system can verify it.
What would you copy first?
AI SEO is turning into ops, not content.
CrowdReply's MCP does more than ask
"am I visible in ChatGPT?"
It exposes citations, prompt gaps, Reddit threads, and guarded write actions.
Useful? yes.
A little uncomfortable? also yes.
Would you trust that workflow?
Today we're introducing the CrowdReply MCP.
The first ever MCP that analyzes and ranks your website in AI search.
Simply talk to it and it'll find where you're missing, then goes in and handles the implementation.