Practical writing on web development, product design, automation and applied AI.
Artificial Intelligence
How to design a chatbot flow that qualifies a visitor and books a real calendar slot in one conversation — the steps, the integrations, and the metrics that keep show-up rate honest.
10 min read
Artificial Intelligence
A permissions model for AI chatbot guardrails: what the bot may read, say, promise and do — and why enforcing those at the credential and tool layer beats instructing the model not to.
10 min read
Automation
Turn chat signals into a lead scoring model sales will actually use: which signals to read, why fit and intent belong on separate axes, and how to spot a model that separates nothing.
10 min read
Artificial Intelligence
Twelve questions to put to a chatbot vendor before signing — covering knowledge, channels, integration, data handling and cost — with what a weak answer sounds like.
11 min read
Artificial Intelligence
How to design a chatbot qualification flow that produces leads sales actually accepts — the questions, the routing table, the integrations and the metrics.
11 min read
Web Development
A practical architecture for chatbot API and webhook integration: the three modes, the tool interface layer, security boundaries, failure handling and the metrics that catch silent write loss.
10 min read
Automation
Fifteen situations that should hand a chatbot conversation to a person, with the signal each needs, the metrics that expose late escalations, and the two rules that should never be tuned.
10 min read
Artificial Intelligence
A pre-launch audit framework for chatbot knowledge: how to find gaps, contradictions, stale content and material the bot should never answer from — and the launch gate worth enforcing.
10 min read
Automation
Who owns chatbot answers after launch: ownership per content area, update SLAs by volatility, graduated approval, and the four signals that catch drift before customers do.
11 min read
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