I had to skip a day or so because of exhaustion (outside of the challenge). Back at it now! Today I completed the automation challenge! Again, for me, the thing that challenged me was to think of what to build. So this time, I used Claude.AI for assistance. From the results of the chat session, I pasted the conversation into Claude Code and took it from there. A couple of things I will upgrade on the second pass: - I discussed a Canva integration step for the project. I'll look into that next time. - Actually pushing the project to Github - D'oh! I forgot that step. It lives directly on Trigger.dev, but in its basic form, so it's okay for now. - I really liked that I could brainstorm with Claude.AI and then copy/paste the resulting conversation to Claude Code to pick up the thread. I had to compress the session later on, but that was cool. What I learned: - How to use the dashboard in Google Cloud to have results print directly to a dedicated Google Sheet. - That Claude Code also can apologize - It gave me instructions on where to copy/paste a Google secret, but then when it failed, it said "My bad - I told you to copy the entire code, including the parentheses, for Trigger.dev. That was a mistake." I appreciated that it saw the error. - My version of this test costs some cents for Claude API calls, so I had to put a nominal amount in the account. Onward to the next project! I'm hoping that, with further iterations, this automation can become a content creator automation that I can offer for other content creators.

What are your tips for using AI safely? I have created and tested plenty of custom Skills, Routines and custom Claude setups, but I'm really curious on what your practices are, on every level. How do you protect your data?

Today I have a few working automation projects, and now I’m realizing that building is only half the job. The next challenge is finding the right people who actually need these solutions. Feels like a completely different skill set.

Released TODAY on GIT! AgeniusDesk-CE Hey everyone, After 3+ years building AI automation systems, I realized something: the bottleneck isn't the model. It's context and resources. Better context = better agents. But here's the real problem: everything is segmented. Your agents are in Pydantic AI. Your workflows are in n8n. Your knowledge is scattered. Your execution is fragmented. So I built AgeniusDesk, a unified platform that manages ALL of it: agents, workflows, knowledge, resources. One command center. No silos. What is it? A unified management layer for AI platforms, agents, and workflow frameworks (n8n, Pydantic AI, Flowise, etc.): - Multi-instance n8n visibility + control from one dashboard - AI agents (Pydantic, Claude, OpenAI, local models) as first-class citizens - Real-time error detection + AI diagnostics (catches issues before they blow up) - Agent Lab: write and debug code with AI, deploy instantly - Encrypted secrets vault (never plaintext, never exposed) - Shared resource layer: context, guardrails, execution contracts - Full local/self-hosted control (no vendor lock-in) Built on Python + FastAPI + Vanilla JS. Docker compose ready. Why I'm posting this here: This community gets it. You're not asking for another no-code builder or magic button. You're building real systems, running agents in production, managing multiple deployments. AgeniusDesk is built for that. What I want from you: Drop a comment and tell me: - → Are you managing multiple n8n instances or agents right now? - → What's your biggest pain point? (visibility? errors? scale?) - → Would you test-drive this if it solved that problem? I'm open-sourcing the whole thing. No strings. Just want to build something the community actually needs.

framework to check if this automation worth to build 📋 Use this checklist to find automation opportunities: [ ] Does it repeat? (Same thing same way every time) [ ] How many people/times? (More = more valuable) [ ] How much time saved? (Multiply by hourly rate) [ ] Can it be fully automated or just partially? (Full = better) [ ] Does the process stay the same? (Yes = automatable) [ ] Would they pay for it? (Yes = build it) [ ] Are there 5+ potential customers? (You need a market) [ ] Can you find them? (LinkedIn, Facebook, referrals) SCORING: 7-8 checkboxes = GOLD (build this first) 5-6 checkboxes = GOOD (build this second) 3-4 checkboxes = MAYBE (research more) <3 checkboxes = SKIP (find better opportunity) I use this framework to evaluate every automation idea. When I spot something that hits 7+ boxes, I know it's worth building. Try it this week: - Find 3 processes that repeat in your world - Run them through this checklist - See which scores highest Drop your highest-scoring opportunity in comments 👇 add pdf of this point with example !! Questions: - 1.what you think about this framework?? 2.any add-ons?