Our Latest Blogs

MVP Product Analytics: What to Track Before Launch in 2026

MVP product analytics should track activation, core value, failure, retention, revenue, support, and consent events before launch. See the 7-group plan.

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AI Pilot to Production: Eight Funding Gates

Use eight funding gates to decide whether an AI pilot should enter production, remain review-only, be redesigned, or stop before more budget is committed.

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Private AI Agent Deployment: Cloud, VPC, or On-Premises?

Compare managed cloud, private VPC, customer cloud, and on-premises AI agent deployment using seven control boundaries before choosing an operating model.

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Prototype vs MVP: What Should Founders Fund First?

A prototype tests the user journey; an MVP tests real delivery. Use six evidence gates to decide whether your team should fund a prototype or MVP first.

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React Native App Upgrade vs Rebuild: 7 Decision Tests

Decide whether to upgrade or rebuild a React Native app using 7 checks for version gaps, native modules, release risk, test coverage, and product change.

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AI Document Processing Pilot Acceptance Tests

An AI document processing pilot is ready when accuracy, exception routing, source traceability, review, deletion and write tests pass on real work samples.

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Software Milestone Acceptance: 7 Tests Before Sign-Off

Use seven software milestone acceptance tests for scope, working evidence, real workflows, quality, release readiness, ownership, and written sign-off.

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AI Evaluation Dataset for a Business Workflow Release Gate

An AI evaluation dataset should cover normal work, edge cases, refusals and tool outcomes, with release thresholds tied to one real production workflow.

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AI Agent Memory Architecture: Session, Durable, and Source Records

AI agent memory should separate session context, durable facts, source records and deletion rules before it stores information across work conversations.

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