Thoughts & Perspectives
Building in public
Best AI for Small Business (2026): Claude, ChatGPT, Copilot, or Gemini, Picked by What You Already Run
The best AI for a small business in 2026 is the one that sits inside the tools you already pay for, on a plan whose data terms let you paste real work into it. Claude Team, ChatGPT Business, Microsoft 365 Copilot, and Gemini for Workspace compared on price, data terms, and the one question that actually decides it.
ChatGPT for Bookkeepers: What It Does in a Small Practice, What It Must Never Touch, and the Plan That Fits (2026)
ChatGPT for bookkeepers in 2026, written for the bookkeeper who will actually use it and the practice owner who has to sign off: the five jobs it does well in a small practice, the two it must never touch, the never-paste list for client data, why the $20 plan is the small decision, and when a Business workspace with written data terms is the right one.
Codex Usage Limits Explained: The 5-Hour Window, the Weekly Cap, and What Actually Resets (2026)
Codex doesn't have a message count. It has a rolling five-hour allowance that varies by model, a weekly cap that may sit on top of it, and a set of behaviors that quietly burn it faster. Here's what OpenAI's own pricing page says the limits are on Plus, Pro 5x, Pro 20x, and Business as of September 2026, what happens when you hit one mid-task, and the three moves that stretch the allowance before you pay $100 more a month.
AI Fluency: What It Means, the 4D Framework, and What It Looks Like in a Real Business (2026)
AI fluency is the ability to work with AI effectively, efficiently, ethically, and safely — Anthropic's free course teaches it as four skills: Delegation, Description, Discernment, Diligence. Here's what each one looks like inside a 10-person business, why a certificate won't change Tuesday, and the 30-day version that does.
Emergent vs Lovable (2026): Agent-Built Apps vs Prompt-Built Apps, and Which One You Can Actually Ship
Emergent vs Lovable is a bet on two different workflows. Lovable is the prompt-to-React builder with a $25/month Pro tier and the biggest ecosystem in the category. Emergent runs autonomous agents that plan, build, and test full-stack apps on a credit meter ($20 Standard, $200 Pro). Real 2026 prices, the credit math, the ownership question, and who should pick which.
ChatGPT for Accountants: The Five Jobs It Does in a Small Firm, the Never-Paste List, and the $20 Question (2026)
ChatGPT for accountants in 2026, written for the CPA or bookkeeper who will actually use it and the firm owner who has to approve it: the five jobs it does well in a small firm, the two it must never touch, the never-paste list for client data, why the $20 plan is not the decision, and when a workspace plan with the right data terms is.
AI for Paralegals: The Four Jobs It Does, the One It Never Touches, and the Never-Paste List (2026)
AI for paralegals in 2026, written for the paralegal who will actually run it and the firm owner who has to approve it: the four jobs AI does in a small firm's back office, the one job it never touches, the never-paste list, what it costs, and the 20-minute setup that survives the supervising attorney.
AI for Consultants: How a One-Person Practice Runs on Claude Without Losing the Judgment Clients Pay For (2026)
I'm a consultant. Here's how my practice actually runs on AI as of 2026 — the three jobs it does every day, the one job it's banned from, what it costs, and the pricing mistake most consultants make the week they get faster.
Claude for Lawyers: What It's Actually Good At, What to Never Paste In, and What It Costs (2026)
Anthropic now sells Claude to law firms directly — Cowork plugins for litigation and corporate work, Word and Outlook add-ins, connectors into iManage and NetDocuments. Here's the small-firm version: which plan, what the data terms actually say, the never-paste list, and the four workflows where it earns its $20 in the first week.
AI for Startups: The Stack, the Budget, and the Three Mistakes I Get Paid to Fix Later (2026)
Most "AI for startups" advice is a tool list written by someone who has never had to make payroll. Here's the version from someone who fixes the aftermath: the three separate questions hiding inside the phrase, the stack that costs under $100 a month, the API math, and the three mistakes that turn a fast MVP into a $40K rescue.
AI for CEOs: What to Do Yourself, What to Delegate, and What to Refuse (2026)
The CEO's job with AI is not to become the best prompt writer in the building. It's to use it personally on the six things only you do, delegate the three things that scale, refuse the three that don't, and write a one-page policy so everyone else can move. Here's the weekly routine I run and install.
AI for Executives: The Five Decisions That Are Yours, and the Twenty That Aren't (2026)
Executives don't need to learn AI. They need to make five decisions about it: what to fund, what to refuse, who owns it, what the board gets told, and what 'we use AI' means in the P&L. Everything else belongs to the people who run the workflows. A fractional CTO's version of the executive AI briefing, without the slide deck.
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