SignalPilot is #1 on both public data-agent benchmarksSee the results →

Build 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. 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 workflowDefine and enforce every phase yourselfMaintained Explore → Build → Verify workflow
Verification receiptsBuild evidence capture and review surfacesReceipts attached to every answer and GitHub workflow
Continuous evalsCreate fixtures, graders, and release gatesEvery agent-stack change is evaled before it lands
Knowledge baseInvent storage, retrieval, and update rulesDefinitions, quirks, and decisions compound across runs
Warehouse governanceMaintain authentication, access rules, and audit logsOne governed MCP gateway with every query logged
Model and schema driftWait for a failure, then patch the harnessCatch drift on the next run and turn it into a rule
DeploymentWire each destination independentlyUse the same blocks in your IDE, Slack, and Notion
OwnershipYour team owns every integration and regressionSignalPilot 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.