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July 1, 2026
9 min read

Build a Daily AI Briefing Feed from X, Reddit, YouTube, and Deep Research

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Last updated July 1, 2026

The architecture

A useful daily AI briefing combines fast feeds with slower research: X, Reddit, and YouTube for signals; scheduled Deep Research for context; and content generation for the briefing, audio, video, slide deck, or datatable output.

Most automated briefings fail because they only summarize what happened. A useful daily AI briefing needs a second layer: why the signal matters, whether it is repeated across sources, and what a product, marketing, research, or leadership team should do next.

AutoContent API supports this pattern with feeds, scheduled Deep Research, and multi-format content generation. The goal is not to create a generic podcast pipeline. The goal is a reliable briefing feed that starts from monitored sources, adds research context, and outputs the right artifact for each audience.

1. Save the Feeds You Want to Monitor

Create feed records for the sources your briefing should watch. AutoContent API documents feed types for X/Twitter, Reddit, and YouTube channel sources.

curl -X POST "https://api.autocontentapi.com/feeds" \
  -H "Authorization: Bearer $AUTOCONTENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "AI leaders on X",
    "feedTypeId": 1,
    "internalId": "openai"
  }'
curl -X POST "https://api.autocontentapi.com/feeds" \
  -H "Authorization: Bearer $AUTOCONTENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Machine learning subreddit",
    "feedTypeId": 2,
    "internalId": "MachineLearning"
  }'
curl -X POST "https://api.autocontentapi.com/feeds" \
  -H "Authorization: Bearer $AUTOCONTENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "AI product launches on YouTube",
    "feedTypeId": 3,
    "channel": "https://youtube.com/@AutoContentAPI"
  }'

Store the returned feed IDs. Your briefing workflow can then select cached feed items and pass them into /content/Create with feedSelections.

2. Schedule Deep Research for Context

Feeds show what is moving. Scheduled Deep Research explains why it matters. Use a recurring research request when the same monitoring brief should run every day.

curl -X POST "https://api.autocontentapi.com/deep-research/research" \
  -H "Authorization: Bearer $AUTOCONTENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "text": "Every morning, research the most important AI product launches, model releases, funding news, policy updates, and developer platform changes from the last 24 hours. Return source-backed findings and note uncertainty.",
    "outputType": "json",
    "jsonFormat": "{ \"summary\": \"\", \"keyFindings\": [], \"sources\": [], \"uncertainties\": [] }",
    "provider": "gemini",
    "isScheduled": true,
    "dailyCount": 1
  }'

For research workflow details, see the Deep Research API page and the Gemini Deep Research API overview.

3. Generate the Daily Briefing

Once the latest feed items and research IDs are available, combine them in /content/Create. The current content endpoint accepts feedSelections with feed IDs and cached feed item IDs, plus researches for research IDs.

curl -X POST "https://api.autocontentapi.com/content/Create" \
  -H "Authorization: Bearer $AUTOCONTENT_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "outputType": "briefing_doc",
    "format": "html",
    "feedSelections": [
      {
        "feedId": 42,
        "feedItemIds": ["post-123", "post-456"]
      },
      {
        "feedId": 84,
        "feedItemIds": ["reddit-abc"]
      }
    ],
    "researches": ["daily-ai-research-request-id"],
    "text": "Create a concise daily AI briefing. Group items by products, research, policy, funding, and developer tools. Include why each item matters, source notes, uncertainty, and action items for a product team.",
    "callbackData": "briefing=daily-ai;date=2026-07-01"
  }'

4. Choose the Output for Each Audience

  • briefing_doc for executives, internal docs, and Slack summaries.
  • audio for a listenable morning briefing in a private feed.
  • video for a concise recap of the top item.
  • slide_deck for weekly leadership reviews.
  • datatable for tracking sources, entities, topics, and recurrence over time.

If the desired path is specifically a social-to-audio show, read the existing X/Twitter to daily podcast pipeline. This post is intentionally broader: it covers briefing operations across feeds, research, and multiple outputs.

5. Distribution and Review

Send the briefing document to email or Slack, publish the audio through your internal show workflow, turn the strongest item into a brief video, and keep a datatable for trend tracking. Use podcast outputs when the audience wants to listen and X posts when the briefing should become social commentary.

Operational checklist

  • Keep feed IDs stable and remove noisy sources quickly.
  • Use scheduled research for context, not raw summarization.
  • Poll /content/Status/{request_id} until status is 100.
  • Review source notes before publishing high-stakes claims.
  • Track recurring entities so the briefing becomes smarter over time.