Chatbots are not a strategy
Many AI roadmaps begin with a generic chat box. Production value usually comes from narrower jobs: extracting fields from messy documents, drafting replies with citations, or suggesting the next action inside an existing CRM screen. Scope the job, the data, and the failure mode before you pick a model.
Grounding beats clever prompting
If answers must be correct, retrieve from your own records and show sources. Prompt-only systems look impressive in demos and erode trust the first week in production. WebAppMate designs retrieval, permissions, and audit logs as first-class product requirements.
Human confirm on irreversible steps
Agents that send email, move money, or change customer entitlements need explicit confirmation and a kill switch. Automate the boring preparation; keep people on irreversible actions until evals prove otherwise.
Cost and latency budgets
Every AI feature needs a budget: tokens per request, timeout, and fallback behavior when the model is slow or down. Without budgets, AI becomes an unpredictable line item and a reliability risk.
Eval before scale
Keep a small golden set of real examples. Run them on every model or prompt change. Shipping AI without evals is shipping guesswork. Start narrow, measure, then expand the surface area.
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