Stop re-reading every PR your agents open.
OrgX loads your rules into Claude Code and Codex before each task, checks the result against them, and sends misses back before you open the diff. You review what needs an engineer.
Where the checking piles up
Agents made the work cheap. Checking it didn't get cheaper.
Agents open PRs faster than you can review them
Claude Code and Codex write the change in minutes. You still read every diff, because nothing checked it against how your repo works.
CLAUDE.md goes stale
You write the rule in one file on one laptop. The next tool, teammate or repo never sees it, and you correct the agent again.
Every session starts from zero
Decisions from yesterday’s session stay in yesterday’s transcript. Today’s agent asks again or guesses.
"Tests pass" is not "accepted"
A green run says the agent’s tests passed. It doesn’t say a person looked at the parts that needed judgment.
Teach, check, approve, prove
One loop, in the AI tools you already use. Sends, deploys and spend always stop for a person.
Teach
Turn repeated corrections into rules.
Example: you tell Claude Code "use pnpm, not npm" twice. OrgX proposes the rule with both sessions linked. Once you confirm it, the next session loads it.
Check
Check the PR before you open it.
Checks run by code where a rule is exact and by a judge where taste matters. A check that couldn’t run shows as not run, never as a pass.
Approve
Merges and deploys stop for you.
Agents can’t approve their own work. You see the one check that failed, not the fifty that passed.
Prove
Every merged change keeps its receipt.
What was asked, the checks set before work started, the evidence for each, and who signed off.
Questions from technical founders
Answer first, limits included.
How does this fit my dev workflow?
Run npx @useorgx/wizard@latest setup to connect Claude Code and Codex on your machine, or add the hosted MCP URL to any MCP client. Your repo, CI and review flow stay as they are.
Can I try it without an account?
Yes. npx -y @useorgx/trail reads the agent history already on your machine and shows the failures your agents keep repeating. Nothing is uploaded.
What if the checker is wrong?
It doesn't clear anything on its own until it agrees with at least 16 of your last 20 blind picks. Until then every result comes to you, with the checker's opinion beside it.
Can agents act on their own?
Inside limits you set. Sends, deploys, spend and merges always stop for a person, and no agent can approve its own work.
Do I have to switch AI tools?
No. You connect the ones you use: ChatGPT, Claude, Claude Code, Codex, Cursor or any MCP client.
Start free on one real project.
Connect the AI tools you already use. Teach OrgX your bar once, and check less after that.
Start free