CHATBOTS
Discord Support Thread Auto-Resolver with 'Solved' Reaction Archiving
Watches a Discord support channel, drafts a proposed fix in-thread, then archives the thread once a member adds the 'solved' reaction and logs the resolution to Postgres.
How it runs
The automated pipeline, trigger to output.
- TriggerNew message opens a support threadDiscord
- ActionDraft a proposed fix from the questionOpenAI
- ActionPost the proposed fix into the threadDiscord
- LogicWait for and match the 'solved' reaction
- ActionArchive the resolved threadDiscord
- OutputLog the resolution to PostgresPostgres
What it does
Turns a busy Discord support channel into a self-closing queue. When someone opens a support thread, the workflow reads the question, drafts a concrete suggested fix, and posts it as the first reply. It then waits for a human to confirm by adding the configured 'solved' reaction emoji. On confirmation, it archives the thread and writes a structured resolution record to Postgres for reporting.
When to use it
Use it when your team runs front-line support inside Discord and threads pile up unresolved. It is ideal for OSS communities or product Discords where moderators want an AI first-pass answer plus a clean, auditable close on every solved thread.
How it works
- 1A new message in the support channel triggers the run.
- 2An OpenAI step reads the thread question and drafts a proposed fix.
- 3The draft is posted back into the Discord thread as a reply.
- 4The flow watches the thread for the 'solved' reaction emoji.
- 5A logic step checks whether the reaction matches the configured solved emoji.
- 6On match, Discord archives the thread.
- 7The resolution (question, proposed fix, resolver, timestamp) is inserted into Postgres.
Set it up
What you configure once, before turning it on.
- 1Connect DiscordCommunity channels + voice + bots.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect PostgresAny Postgres URL — query, write, migrate.
- 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.
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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.

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