Operating manual
Tag: ai-agents
A focused reading path for ai-agents: related field notes, evidence trails, and operating questions from the archive.
- more-coding-agents-can-make-the-work-worse.md
More Coding Agents Can Make the Work Worse
When do multiple coding agents help? Use this five-gate test to decide whether parallel work justifies its coordination tax.
open artifact → - coding-agent-recovery-is-a-budget-decision.md
Coding-Agent Recovery Is a Budget Decision
A failed coding-agent run creates evidence. Use a Recovery Budget Router to decide whether to repair, replan, escalate, or stop.
open artifact → - model-availability-needs-a-risk-contract.md
Model Availability Needs a Risk Contract
A backup model is not a continuity plan. Define the substitute, thresholds, evidence, authority, and drill before production access changes.
open artifact → - vertical-ai-needs-receipts-not-better-chat.md
Vertical AI Needs Receipts, Not Better Chat
A five-part scorecard for testing whether vertical AI can use real tools, preserve execution context, produce inspectable artifacts, and support reruns.
open artifact → - your-agent-is-learning-the-harness-too.md
Your AI Agent Is Learning the Harness, Too
When training runs through an execution harness, the interface shapes learned behavior. Use this six-part contract to test what will transfer.
open artifact → - agent-context-is-a-lifecycle-problem.md
Your AI Agent Needs a Context Policy
A practical six-part context policy for AI agents: what to keep, retrieve, compact, and delete across long-running jobs.
open artifact →