AI Doesn't Know the Standard Changed
AI can cite real but outdated regulations. Reliable compliance workflows verify authority, version, effective date, and provenance at delivery.
Topic
ai-architecture
A collection of 39 issues
Autonomy Is Prediction Accuracy
Earn agent autonomy through demonstrated prediction accuracy in a bounded decision class. Compare outcomes, correct errors, and keep permission separate.
Why Complex AI Should Become a Managed Pilot Before It Becomes SaaS
A managed pilot is not a retreat from product. It is the bridge between AI capability and product economics.
Your Agent Does Not Need a Longer Plan. It Needs a Catching Feature.
A longer plan extends the agent's internal map. A catching feature tells it when reality has stopped agreeing.
What the Inbox System Actually Prevents
Three failure modes the inbox prevents: message loss, duplicate work, and priority inversion. Why chat fails for agent coordination.
The Zero-Click Interface
SaaS encoded workflows into click-paths when intelligence was in the software. When intelligence is in the model, the click-path is friction.
The Best AI Products Know What They Must Not Do
The strongest AI products do not claim every capability. They know what they must ask, refuse, record, and route to humans.
Don't Let Your Agents Hire Managers
Coordinator Debt is the complexity from orchestration layers added to fix boundary failures. The fix is agent scope discipline, not hierarchy depth.
Context Is the Moat
SaaS is stateless. Professional services accumulate context. The switching cost is the calibration history no competitor can replicate.
A Demo Becomes a Product When It Survives Its Failure Modes
The gap between an AI demo and an AI product is not more features. It is evidence under realistic failure.