Blog
Notes & thoughts
On applied AI, development and building useful products.
Should You Hire an AI Specialist or Work With a Consultant?
Hiring an AI specialist is expensive and slow; a consultant delivers faster but doesn't stay. Here is how to decide based on your project volume, budget, and your ability to keep the skill in-house.
AI automation for small businesses: where to start without getting it wrong
A practical guide to picking your first processes to automate: how to triage candidates, real costs, common mistakes, and the signals that a project is ready — or isn't.
Data Security and AI: 8 Questions to Ask Before You Sign
Before handing your data to an AI project, these eight questions separate a serious provider from a legal and operational risk. A practical guide for founders and public-sector teams.
The Hidden Cost of AI in Your Software Projects: How to Measure It Before It Surprises You
Tokens, autonomous agents, subscriptions and added complexity: AI makes every feature easy to add but hard to budget. Here are the real cost lines to quantify before starting a project.
An AI agent says it's "done": how do you verify it actually did the job?
An agent can finish without succeeding: clean logs, missed task. Here's how to tell "finished" apart from "succeeded", and what it means for your AI project.
AI-written code nobody understands: how to keep control
When AI writes fast, teams ship code nobody fully understands. Here is how a serious provider keeps comprehension, review and accountability human.
Should You Train Your Existing Employees in AI or Hire Specialists? The Real Math for a Small Business
Hiring an AI specialist is expensive and scarce; training your current team costs time. Here is how to decide based on your size, your processes and real risk — without dogma or magic promises.
AI and Technical Debt: How to Avoid Building on a Fragile Foundation
AI speeds up code production, but also accelerates technical debt. Here's how a business leader can assess and control that risk before it becomes expensive.
Build vs Buy in AI: How to Decide Without Regret
AI makes building faster, but maintaining software still costs money. A simple framework to decide between building in-house, buying a tool, or hiring a consultant.
Did AI Kill Freelancing? What Businesses Should Actually Look For
Many businesses assume an AI tool can replace a freelance developer. Here is how to tell a project that holds up over time from a demo that collapses in three months.
Your AI generates mountains of files: how to prevent document chaos in your company
AI assistants produce reports, summaries and intermediate documents every day that nobody dares to delete. Here is how to take back control before your storage and your teams get overwhelmed.
What Generative AI Leaves Behind: Managing the Documents It Produces at Work
Reports, drafts, exports and intermediate files generated by AI pile up with no owner and no lifecycle. Here is how to structure a document-management policy that prevents clutter and compliance risk.
RAG in Business: When to Actually Use It (and When to Skip It)
Many AI projects fail because RAG is chosen by reflex. Here are the questions to ask before deciding between RAG, classic search, or a plain API call.
Open-Source AI or Cloud API: How Should Your Business Choose?
Real cost, data privacy, vendor lock-in, required skills: a concrete decision framework for choosing between self-hosted open-source models and cloud APIs (Claude, OpenAI, DeepSeek).
AI Slop: How to Tell a Real AI Consultant From a Content Generator
Briefs and inboxes are drowning in mass-generated proposals. Here are the concrete signals that separate an AI consultant who has shipped to production from a seller of slides.
Do You Still Need to Write Code in the Age of AI Agents?
When a team hands code writing over to AI assistants, who still understands the system? What business leaders should demand before signing off on a project.
What Does an AI Project Really Cost for an SMB?
AI project pricing varies wildly with scope. Here is how a realistic budget breaks down — integration, data, maintenance — and the questions to ask before you sign.
How to Choose a Freelance AI Consultant: A 7-Question Evaluation Grid
Before handing an AI project to a freelancer, ask these 7 concrete questions about scope, data, real costs, code ownership and maintenance. A buyer's guide for founders and managers, without jargon or magic promises.
Adding AI without losing the human
The most useful AI is the kind you don't notice: it removes friction and lets people do what they do best.
Building enterprise systems that last
A successful internal system isn't the one that impresses at launch, but the one people still enjoy using two years later.
Automating what actually matters
Automation isn't about automating everything. It's about choosing the right tasks and doing them well.