We have been using our task manager for about 2 months now. We are still adding features. The code is running on our own private website, which has a name unrelated to our company. Right now, work is assigned to a manager to monitor. Subtasks go to individual staff members, when they finish their part and mark it done, the next subtask goes automatically to the next staff member, when everybody is done, it goes back to the manager. We have the staff enter their time as they work. We have weekly data on who worked on what, the time per day they work on their subtasks. We know who worked on billable & non-billable work, how much time on each. We have the time available for payroll, by staff, with their rates. Managers can review current work by client, or by staff currently working on something. Instead of paying $30 - $60 per staff per month, we pay $0. I have had to babysit the project, telling claude to check the html, js, and php code. I maintain the database and the code base.

We get monthly sales statements from a client. The information is a composite of all sales. We use ChatGPT to parse out the date, move it to a new spreadsheet that we can upload into QBO. After I came up with the prompt, I asked chat to modify and improve the prompt. Now it works fine and saves us time/effort getting data prepared for upload.j

We got sick and tired of the online to-do task apps for work groups. They were expensive, they did not do what we wanted. They could not be modified. So we used AI [Claude] to develop our own. We used PHP 8.3/JavaScript/CSS and MySQL, and put it onto a domain we own. We are still making modifications/fixes/improvements, but it is going great. It would have taken me forever to get up to speed (I last worked on PHP 5) and then written the code.

You may have seen a lot of discussion online about Anthropic, Claude, the U.S. government and OpenAI — and not all of it is clear or accurate. Here’s a concise summary of what’s been happening, why it’s significant, and a chance to hear your view. 📌 What triggered the dispute Earlier this year, the U.S. Department of Defense (Pentagon) demanded that Anthropic grant unrestricted access to its Claude AI for military use, including lawful purposes that could include domestic surveillance or autonomous weapons deployment. Anthropic’s CEO, Dario Amodei, refused, citing ethical guardrails the company has built into its AI — especially prohibitions on mass surveillance and fully autonomous weapons without human oversight. When Anthropic stood firm, the Pentagon threatened to cancel a significant contract (≈ $200 million) and label the company a “supply chain risk.” Shortly thereafter, President Trump directed all U.S. federal agencies to stop using Anthropic’s AI technology, citing national security concerns. Anthropic has publicly stated it plans to challenge the “supply chain risk” designation in court and maintain its ethical stance. CEO Amodei characterised his decision not to relent as compatible with defending democratic values — even if it means falling out with government authorities. Meanwhile, OpenAI struck a separate deal with the Pentagon to supply AI for classified military networks, which some commentators believe reflects a different approach to the same set of ethical red lines. 🤔 Why this matters for anyone using AI tools This isn’t just about military contracts — it highlights key tensions in our industry: 1. AI ethics vs. use case pressureCompanies are being pushed to bend their internal safety guardrails in the face of external expectations about how their AI should be used. The Anthropic standoff shows how far a company might go to stick to its principles — and the real consequences when it does. 2. Competition and positioningAnthropic is also promoting easier switching to Claude, even offering tools to import chat histories — part of a broader strategy to attract users amid the controversy.

👉 You can register for the live session here. Most people know AI matters. But knowing that… and actually using it well inside your business… are two very different things. A lot of people have tried ChatGPT. They’ve tested a few prompts. Maybe even a couple of tools. And then quietly thought: “Why isn’t this saving me much time?” The problem isn’t effort or intelligence. It’s structure. On February 25, I’m running a live, practical AI working session for accountants and bookkeeping firm owners. This is not a theory session. Not a tool demo. And not AI hype. I’ll show you how AI is already being used inside accounting firms to remove friction, reduce thinking time, and make day-to-day work feel lighter. 👉 You can register for the live session here