I spent six months building ProductCore: an eight-agent system that turned a raw product idea into a rigorous strategy and MVP specification. It worked. I shipped it. Then I stopped.
The short version
The engineering succeeded; the business hypothesis did not. Beta demand, buyer economics, and one-time usage all pointed in the same direction. Continuing would have protected the sunk cost—not created a viable product.
Strategy work could become a system.
Founders and product teams would pay for an AI system that performed rigorous, structured product-strategy work—not a chatbot answer, but the discovery process a product consultant would run.
The system would move from market and user research through business and technical strategy, Value Proposition and Jobs-to-be-Done canvases, and finally a unified strategy report with an MVP specification.
The pain was real. The open question was whether it supported a durable product and a buyer willing to pay for it.
Eight agents. One strategic chain.
I built an orchestrated pipeline of eight specialized agents, each with its own prompts, tools, and memory. The agents ran asynchronously, streamed progress to a dashboard, and paused at human-in-the-loop checkpoints before continuing.
Technically, it worked. The product shipped to production, and users could move from a raw idea to a substantial strategy document. That mattered—but it did not settle the question of whether the system should become a business.
The market answered quietly.
I launched a private beta with a waitlist. The response did not meet the bar I had set for demand or signal a recurring reason to use the product.
It was tempting to translate that into tactical work: revise onboarding, adjust pricing, add another feature. But the pattern was more fundamental. The market was not rejecting the interface. It was questioning the product category, the buyer, and the frequency of the need.
Three structural problems.
The category commoditized underneath it.
General-purpose LLMs could perform much of the synthesis for a low monthly price. More serious validation products differentiated with live data, citations, and comparable-company sets. Synthesis alone was becoming a feature, not a product.
The natural buyer had weak economics.
Pre-revenue founders often have limited budgets, a one-time need, and little reason to remain after the idea is evaluated. The category pushed toward inexpensive one-off reports rather than a durable subscription business.
One-shot value capped lifetime value.
A user validates an idea once. Adding artificial reasons to return would have served the business model rather than the user.
Stopping was the work.
I built an idea-validation tool without validating its own commercial model first. The irony is useful because it forces a clean distinction: sound engineering does not make a sound business.
- Name the sunk cost. Six months of nights and weekends was a reason to grieve, not a reason to continue.
- Separate the asset from the business. The system worked; the market case did not. Those were different verdicts.
- Use a precommitted bar. The beta fell below the threshold established in advance, reducing room for motivated interpretation.
- Keep what compounds. The architecture, production patterns, and product judgment remained valuable after the product ended.
The product ended. The learning did not.
The multi-agent architecture, asynchronous orchestration, human-in-the-loop patterns, and production lessons moved directly into later work. More importantly, the project reinforced a more disciplined approach to experimentation.
Test willingness to pay before system depth.
A landing page, direct buyer conversations, and a paid concierge version could have tested the commercial premise before a production build.
Prefer recurring workflows with budgeted owners.
Frequency and an identifiable enterprise buyer matter as much as the quality of the output.
Ground strategic claims in evidence.
Live sources, citations, and transparent provenance create a more defensible system than synthesis alone.
Most product writing is about launches. Product judgment is also visible in the decision to stop.