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AI Strategy · · 5 min read
AI Readiness Before Your First Pilot
Before your first AI pilot, answer the readiness questions that separate real evidence from a polished demo with nowhere to go.
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12 guides across strategy, engineering, delivery, data, growth, and the product lessons shaping our own work.
12 articles across all topics
AI Strategy
AI Readiness Before Your First Pilot
Before your first AI pilot, answer the readiness questions that separate real evidence from 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 from AI-assisted steps, matched to how much a process actually varies.
Read articleAI Engineering
Production RAG Beyond the Vector Database
How to design retrieval-augmented generation so source quality, permissions, evaluation, and operations all hold up in production.
Read articleAI Engineering
Evaluating AI Agents: From Traces to Guardrails
Evaluating an AI agent means judging its outcomes and its trajectory: which tools it used, and whether it stayed inside safety boundaries.
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.
Read articleCRM
A CRM Blueprint and Migration Plan That Survives Reality
CRM migrations succeed or fail on domain boundaries, data ownership, and reconciliation, all decided long before launch day arrives.
Read articleModernization
Modernizing Legacy Systems by Finding the Seams
Modernization should follow real change pressure, then move behind an observable, contracted seam before anything gets rewritten.
Read articleAI Strategy
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
B2B buyers now discover vendors through search results, AI summaries, and direct research. This covers what it takes to stay legible across each channel.
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
On-Device Product Lessons From Tract
Durable local state and recovery come first. A synchronization layer only makes sense once a desktop app can survive a crash on its own.
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.
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