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AI Strategy · · 8 min read
AI Readiness Before Your First Pilot
A practical readiness review for teams that want an AI pilot to produce evidence instead of a polished demo with nowhere to go.
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Read by problem, then follow the connections.
Twelve substantial guides across strategy, engineering, delivery, data, growth, and the product lessons shaping our own work.
AI Strategy
AI Readiness Before Your First Pilot
A practical readiness review for teams that want an AI pilot to produce evidence instead of a polished demo with nowhere to go.
Read articleAI Strategy
AI Agents vs. Automation: Choosing the Right System
A decision framework for separating deterministic workflows, AI-assisted steps, and genuinely agentic work.
Read articleAI Engineering
Production RAG Beyond the Vector Database
How to design retrieval-augmented generation around source quality, permissions, evaluation, and operations rather than a single retrieval component.
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Evaluating AI Agents: From Traces to Guardrails
A practical approach to evaluating agent outcomes, trajectories, tools, and safety boundaries before and after release.
Read articleCRM
Build vs. Buy CRM: A Decision Framework Without Dogma
How to compare packaged CRM, configurable platforms, and custom software using workflow fit, ownership, integration, and long-term change cost.
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A CRM Blueprint and Migration Plan That Survives Reality
A field guide to CRM domain boundaries, data ownership, staged migration, reconciliation, and adoption.
Read articleModernization
Modernizing Legacy Systems by Finding the Seams
A risk-managed modernization approach built around observability, contracts, incremental extraction, and measurable decommissioning.
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Measuring AI ROI Without the Theater
A measurement model for AI initiatives that connects workflow economics, quality, adoption, risk, and total operating cost.
Read articleGrowth
B2B SEO for Search and Answer Engines
A durable content and technical strategy for being discovered, understood, cited, and trusted across search and AI-mediated journeys.
Read articleProduct Engineering
What eRestro Taught Us About Operational Product Design
Engineering lessons from shaping restaurant software around service pressure, resilient workflows, and auditable state.
Read articleProduct Engineering
Local-First Product Lessons From Tract
A practical look at local-first state, synchronization, conflicts, trust, and product boundaries through the lessons of Tract.
Read articleData Engineering
pg-flux and the Discipline of Safe PostgreSQL Migrations
The principles behind safer PostgreSQL change: expand-contract sequencing, lock awareness, resumable backfills, validation, and rollback thinking.
Read articlePut the thinking to work
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