Preflight and health-gate your optimization pipeline.
Inspect registered module scripts, ledgers, and locks; supervise your configured tasks with output checks; and record changes you have already made. Includes two synthetic local examples.
How it actually works
Exactly what it does — and when.
CORTEX detects that the registered output check failed, records the failed run, and follows its retry or alarm path. The operator investigates the task, makes any required changes outside the adoption tracker, and records the supporting evidence.
- A scheduled job exits zero after doing nothing
- A dead PID leaves a stale lock
- Changes are recorded without their supporting evidence
- Run a read-only preflight before changing a target
- Check whether each registered step produced its declared output
- Use PID-liveness locking and a health ledger around scheduled work
Use it to…
Real ways people run CORTEX.
Preflight an unfamiliar pipeline
Inspect detected entry points and proposed opportunities before approving any write.
Supervise scheduled steps
Wrap registered self-play, distillation, or other modules in declared output checks.
Recover a dead lock holder
Use PID liveness rather than lock age alone when deciding whether a run is still active.
What's inside
Who it's for
Maintainers of local optimization jobs
need silent no-ops to surface
Teams with scheduled learning scripts
need output checks and single-flight locking
Operators approving pipeline changes
need a read-only plan before mutation
Questions, answered
Ready to put CORTEX to work?
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