ISFP-T, this is almost correct, there were a couple of things the personality test didn't get quite right which I described in detail in Claude when building the personality.md file. Moving forward I am going to get behind on posting since I've got multiple things going on and I don't do work related things on Sundays. Just setting expectations.

Your first agent will not fail because the model is weak. It will fail because nobody decided what it was allowed to do. On 30 September 2026, Gartner reported that 54 per cent of organisations have no defined approach to limit AI agent access, or simply give agents the access a human would have. That came from a survey of 297 cybersecurity leaders in the second quarter of 2026. Gartner's advice was to govern agents by what they can do, not by how clever the model is. If large companies with security teams are getting this wrong, solo builders should assume we are too. I trained as an auditor at PwC and KPMG. When I review any system, human or AI, I ask the same five questions. Run them on your agent before you switch it on: 1️⃣ What can it touch? List every file, account and API key it can reach. Remove anything the task does not need. 2️⃣ What can it do without asking you? Drafting an email is low risk. Sending it, spending money or deleting data is not. Put an approval step in front of anything you cannot undo. 3️⃣ Where is the log? If you cannot see what the agent did yesterday, you cannot fix what it gets wrong tomorrow. 4️⃣ How do you stop it? Set a spending cap and know where the off switch is before you need it. 5️⃣ Who checks the output? Review a sample of its work every week. Ten items is enough to spot drift early. This is the Controls and Trust part of the ACCOUNT Framework from my book, Human-Led, AI-Powered Finance. I wrote it for finance teams, but it applies to any agent that touches money, customers or data. Build fast. Just decide the limits before the agent does. Which of the five is missing from your current build? Drop the number below and I will share how I would close it.

As you know, I'm using AI to help me trade and make some money. Perhaps you're doing the same. I'm aware that most of you have jobs and aren't able to nerd out full time like me... so I'll share something. My trading strategies. Now, I'm not putting this strategy on YouTube or anywhere public. If thousands of people traded it, the edge would be destroyed. Right now it looks like I have a strategy with promise, so I'm sharing it with a small group of people in "The Desk", the Premium tier of my Part-Time Quant Academy. What I will share publicly is how it's doing. It's a crypto trading strategy, and I'm testing it with my own money for 8 weeks. Here's every week so far, the good, the bad and the ugly. I traded it this way for weeks 1 and 2, and weeks 3 to 8 are worked out from the same trades: Week 1: +1.33% Week 2: +3.51% Week 3: +3.59% Week 4: -0.44% Week 5: -0.82% Week 6: -0.69% Week 7: +0.00% Week 8: +0.00% That's +6.5% over 8 weeks. My own account is up more, 500 to 568 USDT (+13.5%), because from week 3 I traded it at much bigger size. That's a lot more risk, so it's not the version I'm handing out. I'll post the results every week until the test ends on 15 Nov, losses and all. If you want to join "The Desk", you can do it here: https://www.skool.com/part-time-quant-academy/about OR Comment DESK below and I'll send you the details. This is a small live test, not a forecast. Crypto can drop fast, and you can lose what you put in.

My First Agent: Trading Discipline Co-Pilot Seems that based on my responses thus far, this would be the biggest benefit to me at this time!

Excited to be part of the community. Looking to build AI Agents to automate trading and other daily tasks.