I've completed the day 1 dash board. I added a daily dad joke (everyone loves a good dad joke) and also asked it to add a Jarvis style animation in the background (it spins) its rather cool. I've got no experience with any of this kind of thing and think this is really cool!!!!

On to day 3

Super easy except narrowing things down to only 3.

Business owner of Solo Psychiatry practice with online telehealth presence. Looking to get into trading, and branching into "non-medical" business. Experience with Chat, Gemini, Ollama/OWUI, Perplexity, and Manus (stay away from that one). https://embracepsychiatry.com

A note for new builders: Threshold is not the starting line I want to clarify something for newer members who may have seen my recent posts about Threshold, my supervised agentic trading system. Many of those posts are intentionally written to provoke deeper discussion with experienced builders. I ask questions about strategy conflicts, evidence requirements, state reconciliation, risk authority, broker failures, auditability, and real-world execution because I want people to challenge the architecture and expose anything I may have overlooked. Those discussions are not meant to suggest that a new builder needs to begin with a system this complicated. Threshold has grown into a large project because my objective goes beyond creating a personal trading indicator or a simple automation. I am working toward a professional-grade system, with the longer-term goal of using what I learn to help develop a separate commercial platform. That requires me to think about reliability, security, market-data integrity, failure recovery, operator controls, testing, evidence preservation, and other responsibilities that may not be necessary in someone’s first build. If you are new to AI agents, please do not use Threshold’s current complexity as your starting point or allow it to make you feel behind. Follow the path laid out by ZeroOne. Learn how to build one dependable agent. Learn how tools, prompts, memory, workflows, structured inputs, testing, and safeguards work. Complete smaller projects that have a clear purpose. Prove that each layer works before adding another one. The ZeroOne framework is actually quite good for this. It provides beginners with a structured path instead of expecting them to understand an entire production architecture on day one. Just as importantly, the community gives builders a place to ask questions, share progress, and learn from other people’s mistakes and solutions. A complicated multi-agent system is not automatically better than a focused single agent. Complexity should be earned by a real requirement—not added because another builder’s project happens to contain it.