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Practical thinking on AI, software and automation, grounded in what we've seen building the real thing.
AI Applications
Oct 4, 2026
planningAI evals: a practical guide for document guidance tools
AI evals are repeatable checks of how an AI system handles defined tasks. For a document guidance tool, test whether answers use authorized, applicable sources, whether missing information triggers the right response, and whether actions leave the expected records. Use these checks to inform specific release decisions, with human review and ongoing monitoring.
Feb 9, 2026
ai-agentsThe 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-agentsBuild 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
aiRAG 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
aiAI 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
aiAdding 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
Oct 4, 2026
planningClient portal requirements checklist and worksheet
A client portal requirements checklist should define the client and staff tasks, who can act on each client's records, which system owns the data, and what happens when access changes or an integration fails. Use a permission matrix and observable acceptance scenarios to turn those decisions into requirements a software partner can review.
Oct 4, 2026
planningSoftware project brief template for business owners
A software project brief explains what you want built, who will use it, and how you will recognize acceptable behavior. Start with the business outcome, connect it to a user task, and describe an observable acceptance check. Separate facts, assumptions, exclusions, and unknowns so a software partner can develop the details with you.
Feb 9, 2026
saasVendor 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
mvpThe 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-sizeThe 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
aiYour 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-debtNot 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
aiThe 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
hiringHiring 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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