Design the job. Simulate the run. Prove the guardrails. Share the evidence before an agent touches production.
11
AI providers
9
native integrations
90+
workflow templates
7
audit tools
3
linked builders
Ground every decision in the work that already exists, then turn it into tools, boundaries, approvals, and an engineering-ready handoff.
Repository
Code, policies, runbooks
Product context
Figma, tickets, docs
Runtime
Terraform, K8s, Compose
Inject failures, trace the blast radius, and verify that human gates stop consequential writes before real tools or customers are involved.
Dry simulation
No model calls, no external writes, and no surprise side effects.
Seven audit paths
Security, compliance, performance, cost, CVEs, code quality, and load.
Evidence retained
Keep the failure, decision, approval, retry plan, and outcome in one trace.
Share the projected run before implementation, then carry the approved policy, tests, evals, and reference trace into engineering.
Agent launch review
Refund resolution agent
9/10
Review
Run path + gates
Protected
Share
Secure evidence link
Ready
Handoff
Tests + evals + trace
6 files
Bring the provider you trust, choose models per step, and keep the workflow review independent from the model vendor.
Run on Codelit without an open browser tab.
Trigger from Zapier, Make, n8n, or your own app.
Route decisions back into the recorded trace.
Use your provider keys without exposing them in the browser.
Start with a proven template, inspect its launch review, and run the safe simulation. No signup required.