AI AGENTS

Slack-Triggered Vendor Comparison with Sourced Cells

A teammate posts a vendor-evaluation request in Slack; an agent researches the category and replies in-thread with a ranked, fully cited comparison table.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerSlack message mentions the agent with a vendor requestSlack
  • LogicParse requirements into weighted criteria
  • ActionFan out research across Exa and BraveExa
  • ActionExtract facts and rank vendors with citationsOpenAI
  • OutputReply with the ranked table in the Slack threadSlack

What it does

Someone drops a request into a Slack channel naming a category and the must-have requirements. The agent runs a research fan-out, builds a ranked comparison table where each fact carries an inline source link, and posts it back into the same thread so the whole team sees it.

When to use it

When vendor questions surface mid-conversation in Slack and you want an answer without leaving the channel or spinning up a doc. Best for quick shortlists and "who else is in this space" scans that the team can react to immediately.

How it works

  1. 1A Slack message in the watched channel mentioning the agent triggers the run, carrying the category and requirements as text.
  2. 2The agent parses the requirements into weighted criteria.
  3. 3It fans out queries to Exa and Brave Search and pulls the strongest sources.
  4. 4An OpenAI step extracts per-vendor facts, ranks vendors against the weights, and attaches a source URL to each cell.
  5. 5The agent posts the ranked table back into the originating Slack thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SlackChannels, DMs, threads, mentions.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect Brave SearchWeb, news, image, video search.
  4. 4
    Connect OpenAIModels, embeddings, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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