AI AGENTS

On-Demand Vendor Evaluation Matrix from a Chat Prompt

Ask the CEO agent to evaluate a vendor category in plain English and it fans out web searches, reads sources, and returns a sourced comparison matrix as a Notion page.

CategoryAI Agents
Enginepaperclip
Difficultyintermediate
Triggerchat
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerOperator asks the agent to evaluate a vendor category
  • LogicAgent derives evaluation criteria and search plan
  • ActionFan out parallel searches across Exa and BraveExa
  • ActionRead sources and synthesize a sourced matrixOpenAI
  • LogicFlag any matrix cell missing a citation
  • OutputPublish matrix to Notion and return the linkNotionNotion

What it does

You type a request like "compare the top 5 customer data platforms for a 200-person B2B SaaS" and an agent decomposes it into criteria, runs parallel web research, deduplicates and ranks vendors, then writes a comparison matrix with a citation for every claim. The finished matrix lands in Notion and a link comes back in chat.

When to use it

When an operator needs a defensible buy-side comparison fast and does not want to assemble it by hand. Good for procurement shortlists, build-vs-buy memos, and category scans where every cell needs a source.

How it works

  1. 1The CEO agent receives a chat request naming a vendor category and your constraints.
  2. 2It derives evaluation criteria (pricing model, integrations, security posture, support tier) and fans out queries across Exa and Brave Search.
  3. 3It fetches and reads the top results, extracting per-vendor facts with source URLs.
  4. 4An OpenAI synthesis step normalizes claims into a matrix and flags any cell it could not source.
  5. 5The agent writes the matrix to a new Notion page and returns the link in chat.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ExaNeural search across the web.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect NotionPages, databases, comments.
  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.

Run this workflow in your colony.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.