AI AGENTS

Slack /research slash command returns a sourced brief in-thread

A team types /research with a question in Slack; the agent decomposes it, gathers cross-checked sources, and posts a tight, cited brief back into the same thread within a minute.

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • Trigger/research slash command in SlackSlack
  • LogicSplit question into key facts to establish
  • ActionMulti-engine search + de-duplicatePerplexityPerplexity
  • ActionCross-check sources, note disagreementsOpenAI
  • LogicSet confidence; caveat low-agreement answers
  • OutputPost cited brief in the Slack threadSlack

What it does

Gives every channel a research analyst on call. A teammate runs the /research slash command with any question, and the agent returns a concise, source-linked brief in the same Slack thread, no context-switch to another tool required.

When to use it

When questions come up live in standups, deal rooms, or leadership channels and you need a fast, defensible answer without leaving Slack. Ideal for quick competitive checks, "is this true" verifications, and pre-meeting prep.

How it works

  1. 1A user invokes /research with a question via the Slack slash command.
  2. 2The agent splits the question into the 2-4 facts it must establish to answer well.
  3. 3It runs a search across multiple engines and de-duplicates overlapping results.
  4. 4An LLM step cross-checks sources against each other and notes where they disagree.
  5. 5A logic step decides confidence: high-agreement answers ship as-is; low-agreement answers ship with an explicit caveat.
  6. 6The brief, with bullet findings and clickable source links, is posted back into the originating Slack thread.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PerplexitySearch-grounded answers with citations.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  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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