Responding to Propaganda Spinner
Download the framework as a single Markdown file.
Paste it as the prompt prefix in any commercial AI assistant.
Below it, paste the talking point, comment, tweet, or snippet you want a graduated response set for — one primary talking point per run.
Optionally name the audience and context (a hostile uncle at Thanksgiving; a Twitter exchange; a Substack reply) — it marks which DEFCON tier it recommends.
Optionally name the policy domain (welfare, immigration, healthcare, climate, gun policy) so it picks the matching evidence library faster.
Output is seven graduated responses, DEFCON 5 (polite reframe) through DEFCON 1++ (profane scorched-earth), with the recommended tier marked.
What it is
Takes a power-protecting talking point — or the central talking point of a longer opinion piece — and produces Malcolm Little King’s graduated set of seven counter-responses across the DEFCON ladder (DEFCON 5 polite reframe through DEFCON 1++ profane scorched-earth), each anchored to receipts, each constructed via the five-step Spin Algorithm, each respecting the deployment guards. Voice: Malcolm Little King — structural-political columnist in the Black Liberation prophetic tradition.
How to Use It
This is a complete, self-contained tool — everything it needs is in this one file. Paste the whole file into any AI assistant (Claude, ChatGPT, Gemini), then below it paste the power-protecting talking point you want a graduated response set for: a comment, a tweet, a headline, a short snippet. You can also paste a longer opinion piece, and the tool will pull out its central talking point and respond to that. Optionally tell it your audience (a hostile uncle at Thanksgiving; a Twitter thread; a Substack reply) and the policy domain — it will mark which DEFCON tier it recommends for that context, but it always produces all seven, so how hard to go is your choice.