AI Feature Development
Designing and shipping bounded AI product capabilities, copilots, actions, document workflows and product integrations.
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From Prototype to Vertical Slice: The Right Way to Start AI Development
Move an AI prototype to production using 6 essential vertical slice checks for identity, data, APIs, permissions, UI and evaluation in B2B SaaS.
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How to Evaluate an AI Feature Before Customers See It
Use AI feature evaluation to check 6 critical areas: representative cases, factual quality, permissions, tools, failure handling and release readiness.
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A Practical AI Feature Sprint for B2B SaaS Teams
Plan an AI Feature Sprint with 6 essential steps from workflow selection and architecture to integration, evaluation, hardening and controlled release.
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How to Define Acceptance Criteria for an AI Feature
Define AI acceptance criteria through 7 essential checks for workflow fit, factual quality, permissions, latency, cost, failure handling and ownership.
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Why Chat Is Not Always the Right Interface for an AI Feature
Improve AI UX with 6 essential SaaS interface patterns, including inline suggestions, review cards, smart search, contextual panels and bounded actions.
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Building Intelligent Document Workflows Into SaaS Products
Build an AI document workflow with 6 essential checks for ingestion, extraction, validation, permissions, human review and traceable product updates.