Workflows, product strategy notes, and implementation guidance from the Agimon team.
10 posts
The code keeps compiling. What breaks first is the shared map of what lives where and why. Why vibe coding erodes the system map long before it touches the syntax.
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The spec writes itself now. Here is an honest three-column inventory of what the PM job became: what AI owns first, what got harder, and what nobody had a job description for before.
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Your spec now has three readers: a human reviewer, an engineer scoping the work, and an AI coding agent executing it literally. The format most teams still ship was built for one of them.
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Pricing, channel, and your first user segment each constrain what to build. Why go-to-market belongs in the product spec, not a doc written three months later.
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Five deliverables. One session. Here is exactly what Agimon produces when you take an idea through its five-phase spec workflow, and what your engineer opens Monday morning.
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On AI products, cost scales with engagement. Your heaviest users are your most expensive to serve. Here is the one number to compute before you pick a pricing model.
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MCP crossed 97 million monthly downloads and most product teams barely noticed. Here is what actually changes about the work when AI gains standing access to your product context.
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AI collapsed the cost of building. The cost of being wrong did not change. Find out why building the wrong thing faster is the new startup risk.
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Developers blame the model when their AI coding agent reverts fixes, hallucinates features, or loses context. The data says the bottleneck is further upstream than that.
Read postA practical workflow for moving from a raw product idea to a brief your team can scope, review, and ship.
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