AI AGENTS
Competitor Booth Recon Agent
Scrapes the event exhibitor directory with a headless browser, researches competitors present, and posts a positioning brief to your booth team before doors open.
How it runs
The automated pipeline, trigger to output.
- TriggerMorning schedule on show day
- ActionScrape exhibitor directory headlesslyBrowserbase
- LogicFilter to tracked competitors
- ActionResearch competitor positioningPerplexity
- OutputPost positioning brief to booth channelSlack
What it does
Gives your booth staff a same-morning intelligence brief on the competitors exhibiting at the show. A headless browser pulls the event's exhibitor directory, an agent identifies known and net-new competitors, researches their latest messaging, and delivers a concise positioning brief so reps can handle 'how are you different from X' on the floor.
When to use it
Run it the morning of each show day when the exhibitor list is live and you want your team armed with current competitive talking points. Best for crowded markets where prospects are actively comparing vendors at the event.
How it works
- 1A morning schedule triggers the workflow on each show day.
- 2A headless browser session loads and scrapes the event exhibitor directory.
- 3A logic step filters the list down to your tracked and likely competitors.
- 4The agent researches each competitor's recent positioning and announcements.
- 5It synthesizes a short brief with key differentiators and rebuttals.
- 6The brief is posted to the booth team's Slack channel before doors open.
Set it up
What you configure once, before turning it on.
- 1Connect BrowserbaseHeadless browsers, sessions, replays.
- 2Connect PerplexitySearch-grounded answers with citations.
- 3Connect SlackChannels, DMs, threads, mentions.
- 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.
