Dispatch · Models ·

What builders should watch after the LLM hype cycle

Chatbots were the headline. Builders should watch tools, reliability, cost, and where models sit inside a real product.

For a few years, “AI” in public mostly meant chat. Type a prompt, get an answer. That made demos easy and products blurry.

If you ship software, the useful question is narrower: what can a model do inside a real stack without wrecking cost, trust, or maintainability?

Chat is table stakes

A chat box is useful. It is rarely a moat. Customers pay for outcomes — a finished workflow, a safer process, a faster ops loop — not for the novelty of talking to a model.

Where things get interesting

The next layer is tools and agents: models that call APIs, edit files, schedule jobs, or move through multi-step work. That is also where failure modes multiply. A wrong paragraph in chat is annoying. A wrong write to production is expensive.

Builder takeaway

Treat the model like a component. You still own the problem definition, the architecture, the evals, and the decision to ship. AI can accelerate drafting and research. It does not replace engineering judgment.

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