i made my 4.1M Threads workflow free

stop chasing leads. they’re already in your comments.

Most creators stop when the post goes live. That is exactly where the useful part starts. In this episode, Lennox walks through the Threadify Agent loop: pull every comment, spot the hand raises, draft permission-first replies, approve before anything gets sent, and track which post actually created clicks and conversations. The important shift is simple: stop asking which post looked good. Start asking which post created movement. Watch the YouTube version: https://youtu.be/6mGAErPHXRU [https://youtu.be/6mGAErPHXRU] Set up the Threadify loop: https://www.threadify.app/plans [https://www.threadify.app/plans?utm_source=podcast&utm_medium=description&utm_campaign=threadify-agent-lead-loop&utm_content=episode&video_slug=2026-06-15-threadify-agent-lead-loop]

i made my 4.1M Threads workflow free

i made the Daily Greatest Hits workflow free. this episode is adapted from the YouTube walkthrough, so the video version has the full screen-share. the audio version gives you the core operator logic: stop asking AI to invent from scratch, feed it the posts your audience already rewarded, then turn that proof into daily candidates with explicit approval gates. watch the YouTube version: https://youtu.be/WEWqS9nZSnY get the free Daily Greatest Hits workflow inside Codex Club: https://www.skool.com/codexclub/free-daily-greatest-hits-workflow what this covers: - the 30-day proof stack - why Greatest Hits beats generic AI ideation - how Codex and Threadify turn proven Threads posts into daily candidates - where the safety gates sit before anything posts - how the public Threadify Workflows repo fits into the member/customer workflow

i used Codex for 350 hours. it runs my business now

i spent 350+ hours inside OpenAI Codex and this is the real workflow. this episode is adapted from a Loom-style walkthrough, so the YouTube version has the full screen-share. the audio version still gives you the core mental model: Codex is not where you ask questions. Codex is where you give jobs. watch the YouTube version: https://youtu.be/hOK1EGR1azI join Codex Club: https://www.skool.com/codexclub?utm_source=youtube&utm_medium=description&utm_campaign=codex-workbench&utm_content=codex-club&video_slug=2026-05-25-how-codex-rebuilt-my-workflow try Threadify: https://threadify.app/plans?utm_source=youtube&utm_medium=description&utm_campaign=codex-workbench&utm_content=threadify&video_slug=2026-05-25-how-codex-rebuilt-my-workflow

stop using Codex like ChatGPT. build the AI employee instead

This is the shortened Codex masterclass for normal creators and operators. The big idea: stop asking what Codex can do and start telling it the job you want done. In this episode, Lennox shows how to turn Codex from a scary developer tool into an AI employee: one that can use plugins, follow skills, create artifacts, read audience signal from emails and comments, and help build the chain from carousel to lead magnet to landing page to launch video. Join Codex Club: https://www.skool.com/codexclub Watch the full-length Codex masterclass: https://youtu.be/M7pVhoufyKI

i fed AI 27,000 naval tweets. you're copying the wrong thing.

i fed every public tweet Naval Ravikant has posted - 27,026 of them - into an AI to find the lesson beginner creators keep missing. It is not "write shorter." Short is the part everyone copies and the part that matters least. The real move is earned compression: build the proof first, then cut it down to one plain sentence that can actually hold the weight. Inside: - why copying Naval's short, calm style makes you sound fake-deep - what the corpus actually shows: compression, not brevity - the five-step floor for writing short posts that have weight - how Threadify turns messy field notes into clean earned sentences Watch the full video: https://youtu.be/IwIgXuL5jDo Threadify helps you turn raw proof into clear posts: https://threadify.app/?utm_source=podcast&utm_medium=description&utm_campaign=naval-ai-content-forensics&utm_content=episode&video_slug=naval-forensics&cta_slot=podcast-description&entry_angle=proof-first