Start With the Workflow, Not the Model
Why the strongest AI builds begin by mapping users, decisions, inputs, and exceptions.
Discuss this topicInsights
Practical thinking on building AI systems people actually use.
Notes on the decisions that make custom AI useful: scope, data, interface design, guardrails, review, evaluation, and adoption.
The Difference Between a Prompt and a Product
Prompts help individuals. Products help teams repeat a process with control and visibility.
Discuss this topicHow to Make AI Extraction Reviewable
Source links, confidence flags, field validation, and review queues matter as much as the model.
Discuss this topicAI Dashboards Should Explain What Changed
The most useful dashboards do more than display metrics. They surface shifts, context, and next questions.
Discuss this topicWhere Agents Help, and Where They Need Rails
AI agents work best when they have bounded tasks, known tools, clear permissions, and human fallback paths.
Discuss this topicWhat to Check Before an AI Prototype Goes Live
Evaluation examples, logging, error states, role access, and support plans turn demos into durable systems.
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