AI chatbot for Uncanny Automator: recipe status and trigger help
SleekAI maps Uncanny Automator's uo-recipe custom post type, the automator_recipe_logs and automator_recipe_log_meta tables, and the triggers and actions postmeta into the chatbot, so admins can ask which recipe failed last night and why. Bring your own OpenAI, Anthropic, Google, or OpenRouter key.
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An operations copilot for Uncanny Automator recipes
Uncanny Automator stores each recipe as a uo-recipe custom post, with triggers and actions in postmeta. Recipe runs are written to the automator_recipe_logs table along with status, started_at, and completed_at columns. Per-step results land in automator_recipe_log_meta and automator_action_logs. After a few months the average site has hundreds of recipes and tens of thousands of run rows, and figuring out which recipe failed during last night's order spike is a journey through three admin pages.
SleekAI exposes the uo-recipe post type, the log tables, and the trigger and action postmeta as named variables. An admin types, which recipes failed in the last 24 hours, and the bot queries the logs for status equals failed and joins back to the recipe title and the failing step. Display conditions limit the bot to admins. Conversations log model, tokens, and origin page so the team has a clear audit trail for any operational change the bot helped diagnose.
Generic chatbots have no idea what an Automator recipe is, and they cannot join recipe metadata to run logs. SleekAI's Wizard exposes the post type and the log tables in two clicks. The bot understands the difference between a trigger (something that happens) and an action (something the recipe does), which is exactly the vocabulary the team uses internally when describing automations to other stakeholders.
Workflow
How SleekAI plugs into Uncanny Automator
Map the recipe post type
Connect run log tables
Scope to operations admins
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A typical Uncanny Automator admin chat
Comparison
Generic chatbot vs SleekAI for Uncanny Automator
Generic chatbot
- Cannot query the uo-recipe custom post type for active recipes
- Has no read access to automator_recipe_logs or its run statuses
- Cannot tell which step failed inside a specific recipe run
- Will not surface which integrations are hitting external rate limits
- Hallucinates fixes that ignore the actual recipe trigger or action
SleekAI chatbot
-
Reads the
uo-recipecustom post type and per-recipe meta -
Pulls run history from
automator_recipe_logslive -
Joins failed runs to
automator_recipe_log_metafor the step - Quotes integration error messages like Slack 429 or Mailchimp 401
- Logs every admin question with model name and token usage for audit
Features
What SleekAI gives you for Uncanny Automator
Live run history
The bot queries automator_recipe_logs for any date range, status, or recipe ID. Operations teams can ask, what failed last night, and get a concrete answer with the recipe name and the failing step number.
Failure root cause
Each failed run row carries the step that failed and the error message. The bot quotes both, so issues like Slack 429s or Mailchimp 401s surface immediately with the actual error string, not a generic something went wrong.
Recipe leaderboard
Ask which recipes ran most today, which fire most often per user, and which integrations they hit. The bot ranks by run count and total time spent, useful for spotting recipes that should be rate limited or batched.
Use cases
Where teams use SleekAI with Uncanny Automator
Incident triage
When something broke at 2am, the on-call admin asks the bot which recipes failed, on what integration, and how many users were affected, in a single chat instead of three admin pages.
Performance audit
Ask for the top 10 recipes by run count and average run duration over the last month. Recipes that fire too often or take too long get optimized or refactored.
Integration health check
Ask which integrations have produced errors this week. The bot lists each integration with error counts and the most common error message, so you renew API keys or adjust rate limits before they break in production.
The bigger picture
Why Automator admins benefit from chat
Uncanny Automator is the glue holding together a typical WordPress operation. It tags subscribers, awards course certificates, posts to Slack on orders, syncs membership data, and so on. Each recipe is invisible until it breaks.
When something does break, the admin opens three pages: the recipe library, the recipe log, and the action log per step. By the time they figure out the failing integration, fifteen minutes are gone and the affected users are already pinging support. A chat interface compresses that workflow.
The admin types a plain question, the bot reads the same uo-recipe posts and the same automator_recipe_logs Automator itself reads, and the answer cites the failing recipe and the specific integration error string. That changes Automator from a black box with a busy log into an observable system that operations teams trust. It also means agencies stop forwarding logs to clients and can answer in plain English.
SleekAI does not change recipes. It surfaces what Automator already knows.
Questions
Common questions about SleekAI for Uncanny Automator
Both. The free Uncanny Automator already stores recipes in uo-recipe and runs in automator_recipe_logs, so SleekAI can read them whether or not Pro is active. Pro features like advanced webhooks, premium integrations, and unlimited apps simply give the bot more data to read when those triggers and actions exist on recipes.
 The Wizard exposes the uo-recipe custom post type, its triggers and actions postmeta, automator_recipe_logs, automator_recipe_log_meta, and automator_action_logs. You can map any other Automator option or table in two clicks, including custom triggers from third-party Automator integrations.
 By default no. SleekAI is read-only. Action toolcalls are opt-in and disabled. The bot identifies which recipe needs attention, but the actual pause or run step is still a manual admin click in the Automator UI, which keeps the audit trail clean for operational tooling that runs critical business logic.
 Yes. Tokens are stored inside recipe step config. The bot can quote which tokens a recipe uses, which steps reference them, and where a missing or unresolved token broke a run. Loop steps are exposed similarly, so the bot can explain why a loop iterated 17 times when it was supposed to iterate 3.
 No. SleekAI maps only the data the Wizard explicitly exposes. Integration API keys live in their own options that are usually obscured. You can choose to map only metadata like integration name and last error, which is enough for diagnostics, while leaving credentials untouched in the database.
 Yes. The bot reads each step's trigger or action type, the integration, and the configuration, then narrates the recipe as a sequence of plain English steps. That is useful for handing a site to a new team member who needs to understand the automation stack quickly.
 Yes. Anonymous recipes are recorded the same way in the logs. The bot can quote how many anonymous users a recipe processed in a period and how many succeeded or failed, which matters for marketing automations that target site visitors rather than logged-in members.
 Yes. Display conditions support user role, logged-in state, and URL pattern. A typical setup limits the operations bot to administrators on /wp-admin/admin.php?page=uncanny-automator. A separate marketing-facing bot can answer non-sensitive automation summary questions under multibot.
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