Guides
Task-shaped walkthroughs for the work you actually do.
Each guide starts from a job and shows how to run it on Jetty: what goes in the runbook, what the runs show, and what to change when one misses. Start with the use cases to see the loop on another team's workload.
Use CasesStories from teams running AI workloads on Jetty: what they set up, how parallel runs and evals changed the work, and what came out.Defining Agent ChecklistsKeep your agent on task with a checklist: the conditions that define done, ticked and rechecked inside every run, then investigated across runs and kept honest in production.Improving Agent RunbooksPull the latest runs with your coding agent, tighten the evals they expose, and let the optimize-runbook skill propose evidence-backed edits.Scheduling AI WorkloadsRun a runbook on a cron cadence so evals stay fresh as models and providers drift.API ReferenceThe tasks API (deploy, run, monitor — the primary endpoint), the OpenAI-compatible chat-completions compatibility layer, schedules, webhooks, and GitHub-PR APIs.