AI AGENTS
Conversational Scheduling Concierge
A chat-driven agent that handles your scheduling and inbox out loud — ask it to find a meeting time, draft a reply, reschedule a conflict, or clear your morning.
How it runs
The automated pipeline, trigger to output.
- TriggerYou send a chat request
- LogicAgent plans the required stepsOpenAI
- ActionRead calendar availability and conflictsGoogle Calendar
- ActionDraft email or modify calendar eventsGmail
- OutputConfirm actions back in chat
What it does
This is an agent you talk to in chat. Tell it "move my 2pm to Thursday and let them know," "draft a no for the vendor demo," or "what's clashing tomorrow?" and it reasons over your live Gmail and Google Calendar, takes the action, and confirms what it did. It plans multi-step requests itself rather than following a fixed pipeline.
When to use it
When your scheduling and inbox needs are too varied for a single fixed automation. Use it as an always-on chief-of-staff you delegate to in plain language.
How it works
- 1A chat message from you triggers the agent.
- 2The agent interprets the request and plans the steps needed.
- 3It reads Google Calendar for availability, conflicts, or event details as required.
- 4It reads or drafts Gmail messages, and creates, moves, or cancels calendar events to fulfill the request.
- 5It replies in chat confirming each action taken and surfaces anything that needs your approval.
Set it up
What you configure once, before turning it on.
- 1Connect GmailRead, draft, send, label.
- 2Connect Google CalendarEvents, attendees, availability.
- 3Connect OpenAIModels, embeddings, files.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
More AI Agents workflows
Custom Metrics Cardinality Spike Pager
A webhook from a Datadog monitor fires when custom-metric cardinality jumps; an agent pinpoints the offending metric and tag, estimates the added cost.
Sentry-to-Confluence Runbook Updater
When a Sentry issue is resolved, the agent finds the matching Confluence runbook page and proposes an inline update with the verified fix.
Stale Doc-PR Chaser for Runbook Gaps
On a daily schedule the agent finds runbook doc PRs that were opened from resolved incidents but never reviewed, summarizes what each one fixes.
Resolved Incident to Public Troubleshooting Doc
For customer-facing errors resolved in Sentry, the agent drafts a sanitized troubleshooting entry and opens a PR to your ReadMe documentation.
On-Call Runbook Gap Closer: Resolved Sentry Issues to Doc PRs
An agent reads each newly resolved Sentry issue, compares the actual fix against your existing runbook, and opens a GitHub PR adding the missing remediation steps.
Weekly On-Call Doc-Gap Digest
Each week the agent reviews every Sentry issue resolved in the last 7 days, ranks the ones whose runbook coverage is missing or thin.
Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
Run this workflow in your colony.
14-day trial. No DevOps. No Sales call. Provisioned in under a minute.