agentic-engineering

To turn a workflow into an autonomous agent loop, you reframe it with explicit triggers, bounded macro-action scopes, durable state, and verification gates. This ensures the agent executes reliably without continuous human steering.

Verification gates in agent workflows are mandatory checkpoints that require verification evidence before proceeding. They ensure autonomous long-running tasks maintain quality, provenance, and security by validating outputs against defined stop conditions.

You add autonomy defaults to multi-step tasks by implementing durable state tracking and audit-ready write-back destinations. This allows the agent to manage long-horizon execution patterns safely without losing progress or context.

Yes, you can use Obsidian-backed knowledge promotion to extract reusable rules from your wiki. These rules are promoted into autonomous skills and SOPs only after passing a strict V6 promotion gate for verification.

The best way to orchestrate subagents for long-horizon work is to design model-native execution patterns with bounded task loops. This approach requires explicit triggers and audit-ready write-back destinations to maintain reliable autonomy.

You should refactor an existing agent skill when it requires too much human steering or lacks verifiable outputs. Refactoring tightens instructions and applies safe defaults to make the workflow more concise and long-horizon capable.