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Practical thinking on AI, software, and automation. Grounded in what we've seen building the real thing.

AI Applications

Feb 9, 2026

ai-agents

The 5 Internal Tools Where AI Has the Highest ROI Right Now

Not every internal tool benefits from AI, but a handful of categories see 5-10x productivity gains consistently. Here are the five where LLM integration delivers measurable, fast ROI.

Feb 9, 2026

ai-agents

Build vs. Buy AI Agents: A Decision Framework for Teams Without ML Engineers

Most companies don't need to train models. They need to orchestrate them. This article walks through a structured evaluation for when to build custom AI agents versus adopting off-the-shelf platforms, focusing on integration depth, data sensitivity, and total cost of ownership over 12 months.

Feb 8, 2026

ai

RAG Is Not a Magic Database Query: When Retrieval-Augmented Generation Actually Works

Retrieval-augmented generation is the default architecture for AI features that need your data. But RAG fails silently and often. Here's how to know if your use case is a good fit and what to do when it isn't.

Feb 8, 2026

ai

AI Agents vs Traditional Software: A Decision Framework

Not everything needs an AI agent. A framework for evaluating whether your problem calls for an LLM-powered agent, a rules-based automation, or plain old software, and what happens when you pick wrong.

Feb 8, 2026

ai

Adding AI to Your Existing Product Without Rebuilding Everything

You don't need to rewrite your app to add AI capabilities. A practical guide to bolting on LLM-powered features (smart search, summarization, recommendations) to what you already have.

Software Strategy

Feb 9, 2026

saas

Vendor Lock-In Audit: How to Evaluate Your SaaS Stack's Exit Costs Before It's Too Late

Every SaaS tool creates switching costs. Most teams don't think about this until they're trapped. Here's how to audit your stack's exit costs.

Feb 9, 2026

mvp

The Prototype-to-Production Gap: Why Your Demo Works But Your Product Doesn't Ship

You built a working prototype in a weekend. Six months later, you still haven't shipped. What actually lives in that gap, and how to cross it.

Feb 8, 2026

team-size

The Coordination Tax: Why Adding Engineers Makes You Slower (And What Actually Scales)

A 10-person dev team has 45 communication channels of overhead. A 2-person team with AI tooling has 1 and ships faster. Here's the math.

Feb 8, 2026

ai

Your AI Feature Will Cost 10x What You Think: An Engineer's Guide to LLM Cost Architecture

Token costs, caching strategies, model routing, and the hidden expenses that blow up AI feature budgets. How to architect for cost before it becomes a crisis.

Feb 8, 2026

technical-debt

Not All Technical Debt Is Bad: How to Take On Debt Strategically

Strategic technical debt is a tool, not a failure. Here's how to tell the difference between shortcuts that buy you speed and ones that bury you.

Feb 8, 2026

ai

The AI Build Trap: Why Most AI Features Get Ignored by Users (And How to Ship Ones That Don't)

Most AI features shipped in 2024 and 2025 saw dismal adoption rates. The problem isn't the model. It's building AI capabilities nobody asked for. How to validate AI features before you build them.

Feb 8, 2026

hiring

Hiring a Developer vs Using a Dev Agency in 2026: The Real Cost Comparison

AI tools changed the hire-vs-outsource math. A real cost breakdown of hiring a developer vs. using a dev agency in 2026.

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