A 6-step system, inspired by Alex Lieberman, that uses AI to generate ideas, extract your unique insights through an 'interview', and draft high-quality content that sounds like you, effectively eliminating 'AI slop'.
Connect AI to your internal tools (Slack, Notion, Gmail) and external feeds (X, LinkedIn) to automatically scan for and rank 'content spikes' or ideas based on your recent activity and conversations.
The system is prompted to scan the last seven days of information from connected internal systems and a pre-defined list of social media accounts, looking for ideas with strong stories, anecdotes, or contrarian points of view.Instead of asking AI to write for you, have it interview you. Select an idea and have a panel of AI personas (e.g., Tim Ferriss, Joe Rogan) ask you probing questions, transcribing your spoken answers to generate authentic raw material.
The system uses six distinct AI personas codified as skills (e.g., Tim Ferriss, Barbara Walters) to ask probing questions one by one about a selected topic. The user's spoken answers are transcribed to become the source material.Have the AI draft a post using the interview transcript as the source material and three critical markdown files as its instruction manual: a style guide, a content lessons log, and a detailed voice guide.
The AI is prompted to use the interview transcript as source material and reference three markdown files (`style-guide.md`, `voice-guide.md`, `content-lessons.md`) to define the tone, style, structure, and persona for the draft.Submit the draft to an automated peer review panel of AI writing personas (e.g., David Perell, Morgan Housel) that score the draft on a 1-10 scale and provide feedback to trigger automated revision loops until it meets a quality threshold.
Six AI personas modeled after great writers review and score the draft. If the aggregate score is below a 9 out of 10, the system automatically uses the council's feedback to revise the draft and resubmits it.After you make your final human edits and publish, have the AI perform a 'diff' to compare its final draft with your published version. It will then extract abstract lessons from your changes and ask for permission to save them.
The system asks the user: 'Do you want these lessons to be added to the lessons file?' If the user says yes, the feedback is permanently logged in the `content-lessons.md` file.Once the main piece of content is finalized, use a simple command to have the AI repurpose it into different formats for various social platforms, referencing established frameworks like the Gary Vaynerchuk content pyramid.
Use a simple, direct command like: 'repurpose this into three short tweets and two long LinkedIn posts'. The AI will adapt the content for each format based on the styles defined in your voice guide.
Build an automated system that scours the web for job openings, uses AI to score them for relevance against a personal profile, and delivers a curated list of the best opportunities to you daily.
Gamify content creation for your entire team by launching a company-wide competition. Provide employees with AI tools to help them post on social media, driving brand awareness and attracting top talent.
Build your own local AI hardware setup by choosing the right machines (Mac, DGX, custom PC) and connecting them with Tailscale and an AI agent like OpenClaw for automated model deployment across your network.
Join 100,000+ product managers who use ChatPRD to write better docs, align teams faster, and build products users love.