Framework
Engine + NLP + Automation
Modern product development converges three capabilities: an existing engine (platform, open-source framework, or no-code tool), natural language AI (NLP you can prompt rather than program), and trigger-based automation (API integration that has existed for 15 years and is now commercializing at scale). Build around the right engine and connect components rather than coding from scratch. In 2025, building from zero is immature.
How it works
- 1Find the existing engine closest to what you need, customize it, and connect it. The engineering leverage is in choosing and connecting, not in recreating.
- 2NLP is what makes the engine promptable rather than programmable — the layer that enables non-technical users and rapid iteration.
- 3Automation (trigger-based API integration) is the connective tissue — what has existed for 15 years under names like Zapier and Make, now commercializing at enterprise scale.
- 4Mike's prediction: within two years this combination reaches enterprise-level commercialization. That is when smaller teams will be able to compose the same capabilities as legacy enterprise software at a fraction of the cost.
- 5The team implication: hire engineers (architects), not coders (bricklayers). AI replaces coders; it cannot replace architecture judgment.
Hear it on the podcast
Why Your Great Idea Is Quietly Killing Your StartupListen to the episodeMore from this episode
The Third-Party Truth AuditHave a neutral outsider interview users, observe them using the product, and deliver a prioritized action list of bottlenecks blocking revenue. Founders cannot get honest feedback directly: customers soften criticism to protect the founder's feelings, and founders get defensive and hear what they can manage rather than what is being said. A third party removes both distortions and surfaces the real picture.Pre-MVP Concept ValidationBefore writing code, test the concept: a landing page, a waitlist, a single-function prototype, or direct customer questions. Confirm the problem is real and users want to interact with it the way you imagine before committing engineering resources. Most founders skip this step and build the wrong thing at full cost. Fake it until you make it is not a launch strategy — it is a validation strategy.
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