Decision Gate
Programs ship with formal guarantees; agents don’t—Decision Gate restores them with evidence-backed gates.
Bridging Programs and Agents
Agents call programs as tools, but they’re stochastic actors. They can’t prove they followed requirements, can’t guarantee the same outcome twice, and can’t show a verifiable execution trail.
If an agent can’t prove why it did something, you can’t ship it in regulated or high-risk workflows.
Decision Gate closes that gap. It brings program-grade formalism to agent workflows through explicit checkpoints that evaluate evidence and produce auditable decisions. Any process that produces data and has a desired end state can be gated.
The same model becomes trustworthy in places it couldn’t be before—because it now has verifiable proof of execution.
What you get
- Verifiable checkpoints (pass / fail / unknown, based on evidence)
- Fail-closed decisions (missing evidence holds the gate)
- Auditable outcomes (replayable runpacks and decision traces)
What Decision Gate does not do It doesn’t run your tools or prevent hallucinations. It gives agents a formal feedback loop—so they can prove progress against real evidence.
Where it shows up A few common examples:
- Agent task completion checks
- CI/CD quality gates
- Approval and disclosure workflows
Where to go next Start with Basics for the core ideas, then Examples for workflows, then Docs for the full reference.
- Decision Gate Basics — The three core concepts (logic, evidence, gates)
- Decision Gate Examples — Three real workflows, no jargon
- Full Documentation — Specs, tooling, and reference