Michael Denning

I build software that helps AI agents and automated workflows make reliable technical decisions from structured evidence.

My current project is Kynexis, a deterministic compatibility decision engine designed to answer technical printer-and-label compatibility questions without guessing when required facts are missing.

Kynexis combines:

• Deterministic compatibility rules
• Evidence and confidence gates
• Structured machine-readable results
• Persistent decision records
• Idempotent request handling
• API and AI-agent integration
• Pay-per-decision access through Apify

My work is centered on turning technical requirements into decisions that software agents can safely consume and act on.

Rather than returning a plausible-sounding answer when evidence is incomplete, the systems I build can explicitly return that more information is required.

Kynexis is being developed for automated purchasing, equipment compatibility, substitution analysis, and other workflows where an incorrect technical recommendation can create real cost.

The public Kynexis Actor on Apify provides one-shot compatibility decisions for both human users and automated agents.