Launch
RunDoc
Visit
Example Image

RunDoc

AI-powered runbooks and SOPs for DevOps teams

Visit

RunDoc generates production-ready runbooks, SOPs, incident guides and postmortems in seconds. Describe your procedure and get structured documentation with real commands, warnings and rollback plans — no more writing docs from scratch at 3am during an incident.

Pro plan includes AI Council: 4 LLMs (GPT-4o, Gemini, Claude, Grok) generate the runbook independently, cross-review each other's output, and a Chairman model synthesizes the final version. The result is noticeably denser documentation with fewer assumptions and better rollback coverage.

Free plan available — 5 runbooks/month, no card required.

Example Image
Example Image
Example Image
Example Image

Features

✅ Instant runbook generation from a simple description

✅ SOPs, incident guides, checklists and postmortems

✅ Real commands, warnings and rollback plans included

✅ AI Council (Pro): 4 LLMs cross-review each other's output

✅ Chairman model synthesizes the final version

✅ No templates, no manual formatting

✅ Free plan — 5 runbooks/month, no credit card required

Use Cases

🔥 On-call engineer needs a runbook fast during an incident

🔧 SRE documenting a new deployment procedure

🔄 DevOps team standardizing rollback processes

📋 SysAdmin creating SOPs for repetitive maintenance tasks

🚨 Incident response documentation and postmortems

☸️ Kubernetes cluster operations and troubleshooting guides

🗄️ Database migration and backup procedures

🔐 Security incident response playbooks

Fazier Deal
See coupon Copied!

Comments

I built RunDoc after spending years in DevOps watching engineers write the same runbooks from scratch during incidents. The AI Council feature — where 4 LLMs cross-review each other's output — came from frustration with single-model hallucinations in critical procedures. Happy to answer any questions about the architecture or use cases.

See coupon Copied!
Social Links

Comments

I built RunDoc after spending years in DevOps watching engineers write the same runbooks from scratch during incidents. The AI Council feature — where 4 LLMs cross-review each other's output — came from frustration with single-model hallucinations in critical procedures. Happy to answer any questions about the architecture or use cases.