“We never go from the idea to the finished product. We always go from idea to half-assed product to a slightly better product… if we’re going to go through that anyway, we might as well compress the cycle so that it doesn’t take 2 weeks, it takes 2 days.” — Lou
Core Idea
Here’s the counter-intuitive part: compress the right things. Research and first drafts — compress those. Requirements definition, understanding your environment, knowing what you’re actually building — don’t compress those. The sessions that go wrong live are almost always failures of specification, not execution. Lou described learning this by hitting an invisible wall in front of an audience — he’d compressed his own learning curve by skipping the spec step, and it showed.
The broader reframe: AI doesn’t change the nature of the creative production process. Nobody goes from idea to finished product in one pass. The real process — research → rough draft → revision → feedback → acceptable version — stays exactly the same. What AI changes is how long each step takes. Research that used to take a day takes 20 minutes. The blank screen problem disappears because you can prompt the AI to begin and react to what it produces.
AI threatens the slow, manual process — not the insight, judgment, and creative authority that generates value. Knowledge entrepreneurs aren’t selling their time; they’re selling their perspective. AI compresses the production of artifacts that express that perspective. The perspective itself is irreplaceable.
This matters especially for high-performers who have built their value on depth of thinking rather than speed. “Fast” feels synonymous with “shallow” until you realize AI compresses the scaffolding — so the expert can spend more time at the level where they’re genuinely irreplaceable: synthesis, pattern recognition, opinion formation, human connection.
Practical Application
The Compression Audit
Walk clients through their current content or program creation process. For each step, ask:
- What is this step actually producing? (Research, draft, feedback, revision?)
- How long does this step currently take?
- What part requires your judgment vs. information assembly?
- Which AI tool could compress the information-assembly part?
Identify 2–3 high-friction, low-judgment steps and show exactly how to compress those. Start with one: the research step, or the blank screen problem.
The slow on-ramp principle: Don’t introduce clients to complex workflows first. Start with one simple use case that removes a real, familiar pain: “What if AI wrote your first draft? What would you then do with it?”
The 2-Day Sprint: Assign clients a piece of content or program component they’ve been putting off. Use AI as co-pilot for the full cycle — research, draft, revision — over 48 hours. Debrief: what did they produce? What required their judgment vs. what was mechanical?
Coaching questions:
- “What in your current process takes the longest and feels most like grunt work rather than your expertise?”
- “If you could cut one repetitive task from your content creation cycle in half, what would change?”
- “Where in your process do you still need your brain in the room?”