SOCIAL MEDIA

Inbound topic webhook to enriched trend brief in Coda

Receives a topic via webhook, enriches it with Brave Search context, generates a short-form video brief plus thumbnail.

CategorySocial Media
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives a topic payloadHTTP webhook
  • ActionEnrich topic with Brave Search contextBraveBrave Search
  • ActionDraft brief and thumbnail prompt with OpenAIOpenAI
  • ActionGenerate thumbnail imageImage generation
  • OutputWrite structured row to Coda docCodaCoda

What it does

This workflow lets any external system feed topics into your content pipeline. It accepts a topic over an HTTP webhook, looks up supporting context and trending angles in Brave Search, drafts a short-form video brief with an AI thumbnail, and records everything as a structured row in a Coda table that your content team works from.

When to use it

Use it when topic ideas originate outside your tools, for example a trend-alert service, a form, or another internal app, and you want each incoming topic auto-developed into a usable brief without manual re-entry. The Coda destination suits teams already running their content ops in Coda.

How it works

  1. 1An HTTP webhook receives a payload containing the topic and optional notes.
  2. 2Brave Search enriches the topic with current trending angles and sources.
  3. 3An OpenAI step writes the full brief and a thumbnail prompt grounded in that context.
  4. 4Generate Image renders the thumbnail.
  5. 5A new row with the brief, sources, and thumbnail is written to the Coda content table.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect Brave SearchWeb, news, image, video search.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect Image generationManaged Nano Banana image renders, metered per image.
  5. 5
    Connect CodaDocs, packs, automations.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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