SOCIAL MEDIA
Cross-Source Sentiment Investigator: Discord Shift to Microsoft Teams
When a negative Discord theme emerges, an agent investigates whether the same complaint is showing up across the web and similar communities.
How it runs
The automated pipeline, trigger to output.
- TriggerEmerging negative Discord theme detectedDiscord
- ActionSearch web for matching complaints across sourcesExa
- ActionAgent reasons over evidence to judge spread and root causeOpenAI
- LogicRoute urgent vs informational by spread level
- OutputPost researched root-cause brief to Microsoft TeamsMicrosoft Teams
What it does
This agent-driven workflow doesn't just flag a Discord sentiment shift — it investigates it. When a negative theme emerges from clustered Discord chatter, the agent searches the wider web for the same complaint, weighs whether it is isolated to your community or part of a broader pattern, and assembles a root-cause brief with cited evidence. It then posts that brief to a Microsoft Teams channel so leadership gets context, not just a raw alert.
When to use it
Use it when knowing *whether a complaint is spreading beyond Discord* changes how you respond — for example distinguishing a niche power-user gripe from an emerging reputation problem. Best for community leads and PMs who want analysis, not just notification.
How it works
- 1An emerging negative Discord theme triggers the flow.
- 2The agent searches the web with Exa for matching complaints across forums, news, and social posts.
- 3It reasons over the gathered evidence to judge spread and likely root cause, citing sources.
- 4A logic step routes high-spread findings as urgent and isolated ones as informational.
- 5The researched brief is posted to the appropriate Microsoft Teams channel as the final output.
Set it up
What you configure once, before turning it on.
- 1Connect DiscordCommunity channels + voice + bots.
- 2Connect ExaNeural search across the web.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect Microsoft TeamsChannels, chats, files.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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