Results for “stop-condition”

Drafts structured goal-loop prompts for long-running agent work with verifiable stop conditions, validation commands, and documentation requirements.

Create context handoff when pausing work mid-phase

Resume an interrupted workflow run with verify-first strategy — loads sidecar state, verifies the last step, and continues execution.

Makes completion state obvious at the end of every response using a red/yellow/green status block.

Keep long-running agent work within 5-hour and weekly usage limits by checking usage between waves, pausing near the cap, and resuming only when the window is clear.

Persists through implement-verify-fix loops until a task is fully completed and verified, overriding default stopping behavior.

Quickly refreshes project state when resuming work by reporting git status, recent commits, environment, memory staleness, pending tasks, and red flags.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Saves all project context to _context/ files so future sessions can resume without re-reading the full SRS.

Discover, audit, repair, adapt, and design bounded, verifiable AI-agent loops with explicit triggers, actions, stopping conditions, and guardrails.

Shape a fuzzy intention into a concrete, measurable objective with explicit evidence, scope bounds, and a stop condition before starting work.