MARKET RESEARCH

Define-a-Term On-Demand Researcher

A chat-triggered agent that takes an unfamiliar industry term, researches it across Brave and Perplexity, and returns a sourced definition, usage examples, and who's using it.

CategoryMarket Research
Enginepaperclip
Difficultybeginner
Triggerchat
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerChat message with a term to define
  • ActionBrave Search: recent mentions of the termBraveBrave Search
  • ActionPerplexity: synthesized cited explanationPerplexityPerplexity
  • LogicAssemble definition, examples, proponents
  • OutputReply in chat with sourced answer

What it does

When a teammate hits an unfamiliar term in the wild, this on-demand agent does the digging. Ask it about a phrase and it pulls fresh web context from Brave, cross-checks with Perplexity for a synthesized explanation, and replies with a plain-English definition, real usage examples, and which companies or communities are driving the term.

When to use it

Use this when your team keeps encountering new jargon in sales calls, analyst reports, or competitor copy and you want a single reliable place to ask "what does this actually mean and who says it?" without manual googling.

How it works

  1. 1A chat message with the term in question triggers the agent.
  2. 2Brave Search gathers recent articles and discussions mentioning the term.
  3. 3Perplexity produces a synthesized, citation-backed explanation of meaning and origin.
  4. 4The agent reasons over both sources to assemble a definition, usage examples, and the term's main proponents.
  5. 5It replies in the chat with the structured answer and source links, ready to paste into a brief.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect Brave SearchWeb, news, image, video search.
  2. 2
    Connect PerplexitySearch-grounded answers with citations.
  3. 3
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  4. 4
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  5. 5
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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