Why "we tried AI and it didn't work" is almost always a story about the wrong test
Drive a Ferrari to the lumber yard, try to haul 2×4s, conclude "cars are useless." Absurd — and the same logic gets applied to AI all the time.
Wrong tool ≠ bad tool. Define the job before evaluating the tool. Don't generalize from one failed pilot.
per well-scoped Claude agent
— Khairallah AL-Awady's full course on building an agent that pays for itself. May 2026.
Right tool, right job. The rule that's run every workshop for 200 years.
Three pieces from the last 30 days that reinforce this analogy. Forward to the executive who's still calling it hype.
Define the job before you evaluate the tool. The pilot that "didn't work" almost always means the scope wasn't real.
Read the original →The failed-pilot stories rarely note that the team picked the wrong tool for the wrong job. Right tool, right job — the rule is 200 years old.
Read the original →Agent setups for a specific job — coding, testing, reviewing, deploying — done in parallel. Right tools, right jobs, in concert.
Read the original →The catalog is free. The live session is where You Bought a Sports Car. You Wanted a Pickup Truck. gets applied to your specific stuck conversation — built for boards, ELTs, and founder-CEO 1:1s. Half-day, $7,500.