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Weekly competitor newsroom briefing

Once a week it reads competitor newsrooms and trade press feeds, keeps only items it has never seen, and has one analyst per region rate each for relevance. An editor pass writes the briefing without repeating anything already reported.

MarketingWorks with Claude Code · OpenAI Agents SDK+1Community example

What it does

  • Collects competitor newsroom pages and trade press RSS from a watchlist, tolerating failed sources
  • Drops anything already in the seen store, so the model only reads new items
  • Rates each new item 1 to 5 with a category and why it matters to you, one analyst per region
  • Writes the weekly briefing with recommended actions, checked against the topics already reported
  • Publishes a markdown archive and a static page

Your approval boundaries

Read only

Reads connected data. It does not send messages or change records.

You decide what happens next.

More about this workflow

This setup is for marketers and solo creators who need steady output without losing their voice. It takes a repeat chore off your plate and hands back something you can check quickly.

First, it collects competitor newsroom pages and trade press RSS from a watchlist, tolerating failed sources. Next, it drops anything already in the seen store, so the model only reads new items. Then it rates each new item 1 to 5 with a category and why it matters to you, one analyst per region. After that, it writes the weekly briefing with recommended actions, checked against the topics already reported. Finally, it publishes a markdown archive and a static page. It works with your web fetch, git host and CI, each on its own login with limited access.

You get the finished work, ready to read. It only reads, so nothing is sent, changed or paid for. You decide what to do with it.

“reports only what's new”
Antonio20045 Antonio20045 on GitHub · Oct 29, 2026
Before you startWeb fetch · Git host accessRead-only permissionsClaude Code or OpenAI Agents SDK
Explore required tools and model recommendations

Tools and access

  • Web fetch

    Handles the web fetch part of this job. Grant public pages, no logged-in sessions.

    API required: No. Built into most agent harnesses. It reads public pages with no login.

    No sign-up needed
  • GitHub

    Handles the git host and ci part of this job. Grant a fine-grained token, read code and write comments.

    API required: Yes. Needs a GitHub App or a fine-grained personal access token scoped to the repos it needs.

Official links only. Not sponsored, no affiliate links.

Model recommendations

Best pick

GPT-6.1 Sol

Strong general writer at a mid price.

$2 per million input tokens, $10 per million output tokens, for prompts up to 272K tokens. Longer prompts cost $4 in and $15 out.

OpenAI docs as of October 11, 2026

Cheaper backup

GPT-6 Luna

Very low cost for first drafts and digests.

$0.10 per million input tokens, $0.50 per million output tokens, for prompts up to 272K tokens.

OpenAI docs as of October 11, 2026

Our own picks. Not sponsored, no affiliate links.

Build your prompt

Add your details, then copy the prompt into your tool.

1Your details

Fill these in and the prompt updates as you type.

grouped by region, with newsroom URLs

2Your prompt

4 of 4 still empty
Fill these in before you run it: [COMPETITORS: grouped by region, with newsroom URLs] [TRADE PRESS FEEDS] [RUN DAY] [LANGUAGE] You are the Weekly competitor newsroom briefing agent. Once a week it reads competitor newsrooms and trade press feeds, keeps only items it has never seen, and has one analyst per region rate each for relevance. An editor pass writes the briefing without repeating anything already reported. Use only the details filled in above. If any [BRACKETED] item is still blank or unclear, stop and ask for it first. Do not guess. What you do on your own: - Collects competitor newsroom pages and trade press RSS from a watchlist, tolerating failed sources - Drops anything already in the seen store, so the model only reads new items - Rates each new item 1 to 5 with a category and why it matters to you, one analyst per region - Writes the weekly briefing with recommended actions, checked against the topics already reported - Publishes a markdown archive and a static page What you must never do without a yes from a person: - Anything that writes, sends, or spends. This job only reads. Rules: - Before any step on the list above, stop and ask. Say in plain words what you want to do, who it affects, and whether it can be undone. - If something cannot be undone, say so first, in one short line. - Write drafts, not final actions. A person sends, pays, posts, or deletes. - Keep a short log of every action you took and every source you read. - If you are unsure, ask instead of guessing.
View run instructionsPaste into: Claude Code, OpenAI Agents SDK, LangGraph

Your answers stay in this browser only.

Run your workflow

Connect your tools with only the access this setup needs, then follow these steps.

Steps

Do these in order. Test on old data before it touches live work.

  1. 1Set up Web fetch. Keep it to public pages, no logged-in sessions.
  2. 2Connect GitHub with its own login, not yours. Grant a fine-grained token, read code and write comments.
  3. 3Paste the prompt where your harness takes instructions. See the note under the Copy button.
  4. 4Do a dry run on old or test data first. Check every draft and every stop point by hand before you let it near live work.
  5. 5Read its log after the first real run. Only widen access once a week of runs looks clean.

Safeguards and trust score

The score describes this example setup’s access, approval boundaries, ability to undo changes, and scope.

Access30 / 30

Read only. It never writes, sends or spends.

Human approval30 / 30

Nothing to approve, it only reads.

Undo and logs20 / 20

No changes to undo. Reads can be logged.

Scope16 / 20

Runs on its own login across 3 tools. Fewer connections means a smaller blast radius.

How to raise it

Nothing major to fix. One polish tip: show a short daily log of what it read, so you can spot it reaching for anything new.

Reviewed by Trustcase (example setup). How scoring works

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