Ephemeral Compute: Decoupling Fact from Inference | Oryh

A question about this week's follow-up list should not automatically become a permanent modeling project. This Oryh development note explores how agents can answer a bounded business question from existing registration lists, notes, emails and quotations, while preserving sources, dates, assumptions and reasoning for review. Using an illustrative event-follow-up scenario, it distinguishes: Source facts from inferred customer interest. A task-specific analysis from an authoritative model used by long-lived workflows. A recommendation from an approved decision or completed action. Retained analyses can inform future work without becoming mandatory interpretations. Repeated work may justify maintained mappings or reusable queries, but that investment should follow demonstrated reuse. The proposed boundary: agents interpret company instructions and current evidence; software preserves records, rules, decisions and outcomes and enforces action permissions. Inferred interest must not become an established purchase intention. Illustrative scenarios, not customer incidents or measured performance results. AI-assisted video based on Oryh's development notes. Explore Oryh: https://www.oryh.ai https://github.com/AIE-enginehub/Oryh #Oryh #AIAgents #EnterpriseAI