AI AGENTS

Intake-Form-Driven Vendor Matrix to Airtable

When a procurement intake row is created in Airtable, an agent researches the named category against the stated criteria and writes one scored vendor row per finding back…

CategoryAI Agents
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew procurement intake record created in AirtableAirtableAirtable
  • ActionFan out research across Exa and BraveExa
  • ActionScore vendors against criteria with sourcesOpenAI
  • LogicDrop vendors missing a hard requirement
  • OutputWrite one scored vendor row per finding to AirtableAirtableAirtable

What it does

A buyer fills out an intake form that lands as a new Airtable record (category, budget, must-haves). The agent reads that record, researches matching vendors, scores each against the buyer's criteria, and writes a row per vendor into a linked Airtable table — each row carrying scores and a source-links field.

When to use it

When procurement runs through a structured intake and you want every request to auto-populate a comparable, filterable vendor list. Ideal for teams that already manage sourcing pipelines in Airtable and need apples-to-apples scoring.

How it works

  1. 1A new record in the Airtable intake table triggers the run.
  2. 2The agent reads the category, budget, and must-have fields.
  3. 3It fans out queries to Exa and Brave Search and gathers candidate vendors.
  4. 4An OpenAI step scores each vendor against the criteria and collects source URLs.
  5. 5A filter drops vendors that miss a hard requirement.
  6. 6The agent writes one scored, sourced row per surviving vendor into the linked Airtable table.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect AirtableBases, tables, views, automations.
  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.

Run this workflow in your colony.

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