SignalPilot LogoBuild vs. Buy

You could build this yourself. Keeping it accurate is the hard part

Everything we used is published: the workflow, the skills, the verifiers, and the eval. Run them against your own harness and see where it breaks. A skills repo and Claude Code work for one person; they break when forty people need the same definition of churn. If you’d rather not maintain it, that’s the product.

The Maintenance Gap

A hand-rolled harness is a photograph. SignalPilot keeps re-taking the picture.

ResponsibilityHand-built harnessSignalPilot blocks
Deterministic workflow✗Define and enforce every phase yourself✓Maintained Explore → Build → Verify workflow
Verification receipts✗Build evidence capture and review surfaces✓Receipts attached to every answer and GitHub workflow
Continuous evals✗Create fixtures, graders, and release gates✓Every agent-stack change is evaled before it lands
Knowledge base✗Invent storage, retrieval, and update rules✓Definitions, quirks, and decisions compound across runs
Warehouse access✗Maintain authentication, access rules, and audit logs✓One MCP gateway with every query logged
Model and schema drift✗Wait for a failure, then patch the harness✓Catch drift on the next run and turn it into a rule
Team alignment✗One person's skills file, so every teammate can get a different number✓Multiplayer: teams settle definitions in chat, and every person and agent answers from the same agreed context
Deployment✗Wire each destination independently✓Use the same blocks in your IDE, Slack, and Notion
Ownership✗Your team owns every integration and regression✓SignalPilot maintains the blocks; you keep the agent

The Honest Choice

Build what differentiates you. Stop rebuilding the safety rails.

BUILD IT YOURSELF

Choose this when the harness is your product.

You want full ownership of workflows, evaluators, verification logic, gateway policy, integrations, and the release process that keeps all of them current.

USE SIGNALPILOT

Choose this when the outcome is your product.

You want to keep your preferred agent and add maintained accuracy, evidence, governance, and learning blocks without turning harness maintenance into a new internal platform.