Correction: My OpenClaw errors were from using a suspected deprecated 'openai-codex/GPT5.4' model alias. Switched to the correct 'codex/GPT5.4', and it's running perfectly now! Pro tip: Verify model paths in your config. #OpenClaw#AI
Most AI diagnostics demos get the trust boundary wrong.
If the evidence path is messy, the output is just polished guesswork.
SignalForge is the direction I took instead: evidence first, AI second.
That means:
- explicit collection
- deterministic analysis
- compare workflows an operator can inspect
- AI kept in a narrower interpretation role
Less flashy, but far easier to trust when things are actually broken.
I built PipelineHealer for the Microsoft AI Dev Days Hackathon.
The strongest lesson from the build was simple: the best AI decision I made was not putting the model first.
Pattern-first diagnosis made the system safer, more testable, and more useful than the earlier model-first prototypes.
Full article: https://t.co/iKZNuVPF4t
Repo: https://t.co/FfqdYRbiYE
I built PipelineHealer for the Microsoft AI Dev Days Hackathon.
The strongest lesson from the build was simple: the best AI decision I made was not putting the model first.
Pattern-first diagnosis made the system safer, more testable, and more useful than the earlier model-first prototypes.
Full article: https://t.co/iKZNuVQcU1
Repo: https://t.co/FfqdYRbQOc
I built PipelineHealer for the Microsoft AI Dev Days Hackathon.
The strongest lesson from the build was simple: the best AI decision I made was not putting the model first.
Pattern-first diagnosis made the system safer, more testable, and more useful than the earlier model-first prototypes.
Full article: https://t.co/iKZNuVPF4t
Repo: https://t.co/FfqdYRbiYE
I built PipelineHealer for the Microsoft AI Dev Days Hackathon.
The strongest lesson from the build was simple: the best AI decision I made was not putting the model first.
Pattern-first diagnosis made the system safer, more testable, and more useful than the earlier model-first prototypes.
Full article: https://t.co/iKZNuVPF4t
Repo: https://t.co/FfqdYRbiYE