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Automations are reusable AI jobs attached to a workspace. Create one from scratch or start from an Aiola preset, then run it on a schedule or manually.

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Schedules and states

An automation can use one of six schedule types:
  • Daily at a selected time
  • Weekdays at a selected time
  • Weekly on selected days and at a selected time
  • Interval every configured number of hours
  • Manual with no automatic run
  • Custom with an RRULE schedule
Scheduled times use the automation’s configured timezone. Each automation has an Active, Paused, or Disabled state.

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Per-automation settings

Each automation stores its name, prompt, category, optional skill, project, schedule, and state. Execution settings include provider, model, agent, reasoning level, Fast Mode, context window, and Local or Worktree run mode. Prompts can include file, task, agent, app-log, feedback, workspace, issue, and pull-request mentions. The detail page shows the next and last run, last result, run count, and execution history with status, duration, output, errors, and linked threads.

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Built-in presets

Aiola includes 29 presets:
  1. Pick & implement 5 tasks — selects five current Todo tasks, implements safe ones, and records completion details.
  2. Task board cleanup — reconciles task status with shipped work, duplicates, missing context, labels, priorities, and stale schedules.
  3. Standup summary — summarizes the last 24 hours of commits and pull-request activity for a standup.
  4. Weekly update — turns the week’s merged work, tasks, open work, issues, and error trends into a shareable update.
  5. PR summary — reviews recent pull-request activity, review state, CI, size, age, and risk.
  6. Error triage — investigates every open app-log group and fixes clear low-risk production bugs.
  7. Feedback review — reviews open bug reports and feature requests, implements safe fixes, and updates feedback status.
  8. GitHub issue triage — labels and investigates recent open issues, handles stale reports, and closes duplicates.
  9. CI failure summary — groups recent pull-request check failures by likely cause and applies clear regression fixes.
  10. Yesterday’s analytics — reports yesterday’s traffic against the preceding day in the workspace timezone.
  11. Last 7 days analytics report — compares the last seven days with the previous seven and recommends next actions.
  12. AI visibility check — explains the deterministic AI Visibility score and recommends the highest-impact improvement.
  13. Traffic anomaly detector — checks the last 24 hours for page, referrer, geography, and error anomalies.
  14. Bug scan — examines recent commits for concrete correctness regressions and applies minimal safe fixes.
  15. Security scan — audits secrets, injection, XSS, authentication, headers, dependencies, CORS, redirects, and SSRF risks.
  16. Performance audit — checks recent and high-traffic code for rendering, query, bundle, and memory problems.
  17. Test gap finder — identifies important untested paths and writes focused tests for the highest-risk gaps.
  18. Release checklist — performs a release go/no-go review across tasks, notes, migrations, flags, tests, and environment changes.
  19. Release notes — drafts user-facing release notes from pull requests merged since the last tag.
  20. Dependency update — audits outdated and vulnerable packages, applies safe upgrades, and reports major migrations.
  21. Dead code cleanup — removes only code that can be proven unused and flags ambiguous candidates for review.
  22. UI consistency review — audits recent and high-traffic UI for design consistency, responsive behavior, and accessibility.
  23. Feature gap finder — combines the project brief, market research, feedback, and traffic data into ranked feature ideas.
  24. App logs daily digest — summarizes the last 24 hours of production errors by severity, trend, and user impact.
  25. Feedback weekly summary — clusters the last seven days of feedback, compares the prior week, and ranks the best opportunities.
  26. Commit activity monitor — reports daily branch activity, large changes, history rewrites, weak messages, and critical-path edits.
  27. Documentation gaps — finds stale or missing developer documentation and writes the highest-priority updates.
  28. PR review reminder — inventories open pull requests and highlights items awaiting review, ready to merge, or stuck.
  29. Last 30 days analytics summary — produces a stakeholder-ready monthly traffic, revenue, conversion, retention, and SEO report.
GUI Lifetime excludes presets that depend on hosted Analytics, App Logs, or Feedback. Other presets and custom automations remain available.
Automations also appear on Home and Calendar surfaces when they have upcoming or recent activity.