A reading journey · New editorial arrangement · 18 October 2026
How do we turn powerful AI into something people can actually use?
A prototype can astonish and still leave its user stranded. Start with the difference between a good demonstration and a product that keeps helping. Then examine the data and agreements behind that promise, and why creative tools need to respect the work people are actually doing.
Curated reading order · Editorial · 18 October 2026. Dates identify the original publications.
01
The "Wow" Fallacy: When "Wow" Isn’t Enough →January 17, 2025 · product essay
The first essay names the gap after a prototype; the second supplies data, contracts and user-alignment conditions for crossing it.
Inspect the original passages
Editorial comparison · 18 October 2026
Why read these together
The first essay names the gap after a prototype; the second supplies data, contracts and user-alignment conditions for crossing it.
The real challenge begins where the prototype ends.
The "Wow" Fallacy: When "Wow" Isn’t Enough ↗
January 17, 2025 · product essayDistinguishing between vision-market fit and product-market fit is crucial for success in B2B environments. Startups must focus on data market fit to ensure their products deliver on their promises. By emphasizing feasibility, viability, and iterative development, startups can navigate the complexities of B2B markets and build successful, ML-driven products.
Achieving Data Market Fit: The Key to Successful B2B ML Product Development ↗
July 8, 2024 · practical guide02
Achieving Data Market Fit: The Key to Successful B2B ML Product Development →July 8, 2024 · practical guide
Data Market Fit: The Hidden Key to B2B ML Product Success (short version) · July 12, 2024 ↗
An alternative edition of this stop.After examining deployment conditions, test fit at the scale of a professional’s creative task and desired control.
Inspect the original passages
Editorial comparison · 18 October 2026
Why read these together
After examining deployment conditions, test fit at the scale of a professional’s creative task and desired control.
Distinguishing between vision-market fit and product-market fit is crucial for success in B2B environments. Startups must focus on data market fit to ensure their products deliver on their promises. By emphasizing feasibility, viability, and iterative development, startups can navigate the complexities of B2B markets and build successful, ML-driven products.
Achieving Data Market Fit: The Key to Successful B2B ML Product Development ↗
July 8, 2024 · practical guideUsers who have mastered Photoshop expect a high degree of control over their work.
Rethinking GenAI's Introduction in Adobe's Creative Suite ↗
July 8, 2024 · product critique03
Rethinking GenAI's Introduction in Adobe's Creative Suite →July 8, 2024 · product critique
Optional ways into the question
Optional companion
Feels Over Reels: Tailoring AI with a Heartbeat →The dispatcher makes the distinction between a mathematical optimum and a useful choice concrete.
May 2024 · First edition
Optional companion
The Android in the Elevator: Why the Hardest Problem in AI Is the Last 50 Feet →Physical action raises the cost of being unable to recover a known state.
November 18, 2025
An earlier, longer arrangement · Optional
Another opening into the question
Follow an AI recommendation from a neat answer to the uneven world where someone must use it.
A robot can navigate across a city, but how does it press the right elevator button?The Android in the Elevator: Why the Hardest Problem in AI Is the Last 50 Feet
A plan can cross a city and still fail at the door. What did it leave out?
Stop 1 of 6
An optimum is not a decision.
The 2023 logistics passage argues for a small, useful set of alternatives under incomplete information.
Read the complete original: The Frankenstein Dilemma: Can We Control the AI Monster We've Created? ↗April 2, 2023
Meet the dispatcher who has to use those alternatives.
Stop 2 of 6
Ask the person with the problem.
Alex explains why routes must accommodate roadblocks, changing priorities and human judgment.
Read the complete original: Feels Over Reels: Tailoring AI with a Heartbeat ↗Silicon Soulmate · First edition May 2024
Another way into the question
Green Bytes and Logistic Flights: AI’s Quest for a Sustainable Universe · The book’s final chapter supplies the wider first-person logistics context.
A useful scenario still depends on the data and systems that can support it.
Stop 3 of 6
Find out what the system can actually know.
Data Market Fit connects a grand vision to usable data, client readiness, workflows and iterative commitments.
Read the complete original: Achieving Data Market Fit: The Key to Successful B2B ML Product Development ↗July 8, 2024
Another way into the question
Data Market Fit: The Hidden Key to B2B ML Product Success (short version) · The author’s shorter version offers another entry; retain access to the complete work.
Even a persuasive prototype may conceal these missing foundations.
Stop 4 of 6
Let the demo wear off.
The Wow Fallacy asks whether a product remains useful after its first impressive moment.
Read the complete original: The "Wow" Fallacy: When "Wow" Isn’t Enough ↗January 17, 2025
The physical world makes the gap between demonstration and use especially visible.
Stop 5 of 6
Now reach the door.
Elevators and broken buzzers make embodiment concrete. The article ends with a question about recoverable mistakes, not a solved safety claim.
Read the complete original: The Android in the Elevator: Why the Hardest Problem in AI Is the Last 50 Feet ↗November 18, 2025
Another way into the question
Morals in the Mainframe: Searching for AI’s Conscience · AgriAI’s satirical single-metric success shows another way a good-looking plan can miss its context.
A later proposed architecture separates imagination from checks and execution.
Stop 6 of 6
Make the plan answer to the world.
The Three Minds and Living Twin sections connect generation, constraint checks and feedback from action.
Read the complete original: The Three Minds of the Machine — Why the Future of AI isn’t Intelligence... It’s Insight ↗January 9, 2026
Another way into the question
The Answer Factory · The later essay qualifies what formal verification and engineering tests can actually establish.
Ask which assumptions your model checked, which it ignored, and who can stop the action.