Anthropic just published research analyzing 400,000 Claude Code sessions. The finding that matters most: humans make 70% of planning decisions. Claude handles 80% of execution. Anthropic’s own data just validated the exact division of labor that Harness Theory describes.
“The frame is the whole of the human contribution. Everything downstream of it is execution.”
Anthropic’s data says the same thing with 400,000 data points: 70% frame, 80% execution. The human decides what to build. The agent decides how to build it. This isn’t theory anymore โ it’s the measured reality of how humans and AI work together.
The Expertise Gap Is Real
Output Per Prompt โ By Expertise
Novice~5 actions, 600 words
Expert~12 actions, 3,200 words
Experts get 5x more output from the same AI. The frame determines the yield.
Experts trigger 2-3x more actions per instruction and get 5x more output than novices โ from the same model. The AI is identical. The frame is different. This is the Framing Ladder in data: the edge isn’t the tool, it’s the frame you bring to it.
Critical finding: Domain expertise matters more than coding background. Software engineers achieve 34% verified success; non-software occupations reach 29%. All major occupations cluster within 7 percentage points. The AI levels the technical playing field. What’s left is judgment.
Average task value+27% overall, +43% for building tasks
Debugging is collapsing. Building and analysis are expanding. The work is moving up the value stack โ less fixing, more creating. This is the Framing Ladder in motion: as the AI handles more execution, humans move to higher-value framing work.
Business Engineer
My Life in the Harness โ The Framework Behind the Data
The Framing Ladder, the seven harness principles, and the complete system for the agent era โ now validated by 400,000 sessions of real-world data.
Anthropic studied 400,000 sessions and found that humans frame, AI executes. Experts get 5x more from the same model. Domain knowledge beats coding skill. Debugging is dying; building is growing. Every data point validates what we’ve been writing: the model is commoditized. The frame is the moat. The harness is the system. And expertise โ real expertise โ has never been more valuable.
Gennaro Cuofano is a CRO and tech executive who has worked in AI since late 2015, starting with bringing NLP, natural-language generation, voice and chatbot products to the marketing industry. His background is in law and finance: he holds a Master's degree in Law and an International MBA with an emphasis on corporate finance (LUISS Business School and the University of San Diego, 2012), and worked as a financial analyst at a real-estate investment firm in San Diego and as an assistant controller. His work focuses on business model strategy, business engineering and, more broadly, structural analysis: how companies make money, read from their own filings. He created FourWeekMBA and leads research there and at The Business Engineer, his newsletter on AI and business strategy, with over 95,000 subscribers and more than 1,000 published analyses. His writing has also appeared on Entrepreneur, HackerNoon and Search Engine People. Find him on LinkedIn and Substack. See how we source.
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