OK - Yesterday I just looked around. Today I actually went to the classroom. I have a bit of an idea of what I want to do. Obviously thanks to AI - I have a bit of a plan. Here it is folks as I am here to make myself more accountable This is my theory/plan of what I might attempt. It is what I am aiming for right now. Thanks to the LETS BEING ETC I have used that to sort out what I am going to work on Let’s begin Phase 0 + Phase 1 together so you move from “plan” to “action.” Phase 0 was first 🧭 Step 1 – Confirm Your Focus Arena Problem Zero → “Tax Depreciation Workflow Assistant” whose aim is to cut time lost chasing property-manager and owner details before a job is ready to inspect. ✅ Later I can then focus with another focus (admin cleanup, photo management, etc.). 🗂 Step 2 – Build Your AI Builder Cockpit You can set this up today in less than 30 minutes: 1️⃣ Innovation Log/Wish List (Google Sheet / Notion / Excel) Date Problem Observed Who It Affects Pain (1-5) Current Workaround AI Hypothesis Next Test Result / Learning 2️⃣ AI Asset Folder (on Drive or PC) /AI_Projects /01_Problems /02_Experiments /03_Outputs 3️⃣ Time Blocks 1 × 90 min “Deep Build” session each week 1 × 15 min “Review & Reflect” slot (e.g., Friday afternoon) 🔍 Step 3 – Start the Observation Pass Take one live or recent job (e.g., M5464 or M5467). Write down the full path from Job Open → Paid Invoice and note friction points. Typical examples: Stage Friction Why it Hurts Collect Info Missing PM details / build date / tenant access notes Adds 2-3 emails per job Photos → Summary Manual naming & sorting photos 20 min/job Draft TDS → Invoice Re-entering data manually into template Risk of typos + slow 🧠 Step 4 – Apply the 5 Whys to One Pain Point Pick the worst one (“missing info from PMs”) and ask “why?” five times. We’ll capture that text in your log. ✍️ Step 5 – Draft the Problem Statement “Property managers and owners experience delays in Tax Depreciation Schedules when onboarding new jobs because key property information is collected manually via emails and calls, causing 2-5 day delays and preventing same-week report turnaround and cash flow.”