Where Does Deterministic Logic Live?
Robust AI solution architecture demands a deliberate balance: deterministic logic for what must be correct, explainable, and auditable — probabilistic reasoning for what requires flexibility, judgment, and adaptation. Running the deterministic layer as an independent service, callable by any agent, produces outputs that are reliable, traceable, and reviewable — while the AI layer focuses on reasoning and orchestration. Neither alone is sufficient. Together they form a grounded, governable system.
Deterministic business logic -- calculations, rule engines, policy checks -- is stateless and portable. But AI agents need to reach it over HTTPS to incorporate structured outputs into their reasoning. This creates a phased path: prove the pattern locally, then migrate to owned infrastructure once the hosting environment is ready. The deterministic service becomes the anchor that grounds the probabilistic agent.
Network Topology (Production State)
Open Questions -- Agent-to-Service Integration
Deployment Path
fly.io staging)The Strategic Play
Don’t pitch infrastructure in the abstract. Build the deterministic service, demo it working with an AI agent, then say “this grounded pattern delivers measurable value and needs a production home.” The conversation shifts from “we need infrastructure for AI apps” (vague) to “we have a working tool that needs hosting” (concrete). This service becomes the first tenant that justifies the platform -- and every future deterministic service follows the same pattern: stateless logic, exposed over HTTPS, consumed by probabilistic agents.