Agency quoted $18k for a workflow they said "requires custom development." Built it in 7 minutes. Zero code. THE SETUP Client: "Need approval routing based on invoice amount" Agency response: "Requires custom backend logic" "Need database for approval rules" "API integration necessary" Quote: $18,000 Timeline: 6 weeks Client: "For approval routing?" Agency: "Complex conditional logic" THE CALL Client: "They said it needs developers" Me: "What does it need to do?" Client explains: - Invoice under $500: Auto-approve - $500-$5k: Manager approval - Over $5k: Director approval - Send notifications - Log decisions Me: "That's 3 conditions" Client: "They said it's complex" Me: "Give me 5 minutes" THE BUILD Opened Skada.ai Described the workflow. Generated in 4 minutes. Tested with sample invoices: - $200: Auto-approved ✓ - $2,000: Routed to manager ✓ - $8,000: Routed to director ✓ Total time: 7 minutes. Client: "That's it?" Me: "Want to see it process a real invoice?" THE TEST Client submits actual invoice for $3,400. Workflow triggers. Routes to manager. Manager gets Slack notification. Approves. System updates. Accounting notified. Works perfectly. Client: "The agency wanted 6 weeks for this" THE COMPARISON Agency plan: - Week 1-2: Requirements and architecture - Week 3-4: Development - Week 5: Testing - Week 6: Deployment - Cost: $18,000 My delivery: - Minute 1-3: Requirements - Minute 4-7: Build and test - Cost: $2,400 THE AGENCY'S RESPONSE Client: "We found another solution" Agency: "It won't be production-ready" Client: "Been running for 2 weeks" Agency: "What about edge cases?" Client: "Handled 247 invoices, zero issues" THE PATTERN Counted 9 similar cases last month. "Needs custom code" really means: - Needs IF statements (apparently "complex") - Needs data lookup (apparently "requires database") - Needs notifications (apparently "API integration") Average agency quote: $16,400 Average my build time: 8 minutes Average my cost: $2,800 CURRENT RECORD

Well… apparently my little BOT DETECTOR post in the main AI Advantage community caused more turbulence than expected. It survived a whole 2 hours before getting gently escorted off the stage. Reason given: “It might confuse the thread.” Totally fine — I get it. But here’s the part that’s ironic: I posted it precisely to help beginners avoid getting confused. Because half the new members are getting approached by bots and have no idea what’s going on. My intention was simple: ✨ keep humans safe ✨ keep the thread clean ✨ teach new members how to recognize low-effort spam ✨ do it in a fun, memorable way so people actually pay attention But maybe my delivery was a little too… effective 😇 (Moderation bot: “THREAT DETECTED — remove.”) Still love the team — genuinely. No hard feelings. Just amused that the only thing in the community that successfully got flagged was… the anti-bot post 🤖💀 Anyway — since it vanished before some of you saw it, here are the screenshots and the explanation of what it was. If anyone still wants the track or the guide, I can drop them here safely — where context isn’t an issue and beginners actually benefit from it. Humans helping humans. What a concept 😌✨ Also people let us stay inside topic this time in the comments 😉🫰

📝 TL;DR GPT-5.2 is here, and it is aimed squarely at professional work, long-running agents, and complex multi-step projects, not just chat. It is faster, more accurate, and better with tools, code, and long documents, which means more of your workflows can be handed off to AI with confidence. 🧠 Overview OpenAI has released GPT-5.2, its new frontier model series, focused on real knowledge work across documents, spreadsheets, code, data, and tools. It significantly outperforms previous models on professional benchmarks and long-horizon tasks, including reasoning over 256k-token contexts and coordinating complex multi-step workflows. For solopreneurs and small teams, this is less about chat upgrades and more about turning AI into a dependable operations engine. 📜 The Announcement On December 11, 2025, OpenAI announced GPT-5.2 Instant, Thinking, and Pro, now rolling out in ChatGPT paid plans and available via API. The company positions GPT-5.2 as its most capable model yet for professional knowledge work, long-running agents, and complex tool-heavy workflows. GPT-5.1 remains available in ChatGPT for three months as a legacy option, while GPT-5.2 becomes the new frontier tier for serious use. ⚙️ How It Works • Three tiers of power - Instant is the fast everyday model, Thinking handles deep multi-step work, and Pro is the highest quality option when you care more about getting the best answer than saving a few seconds. • Built for real jobs - On a large knowledge work benchmark across 44 occupations, GPT-5.2 Thinking matches or beats top human professionals in most comparisons, while producing outputs much faster and at a fraction of the cost. • Stronger coding and agents - GPT-5.2 hits new highs on tough software engineering benchmarks and is much better at end to end coding workflows, from debugging and refactors to multi step tool use in real projects. • Long context and deep analysis - It can reason accurately over huge contexts, up to hundreds of thousands of tokens, making it far better for contracts, research packs, transcripts, and multi file projects.

Within the SAME chatgpt/claude/deepseek conversation, run these prompts in this exact order: Prompt #1: Based on everything you know about me, what is the fastest way for me to make <INCOME GOAL>? Limit to 1 offer and 1 channel. Prompt #2: Who is the #1 person I should learn from to succeed? Prompt #3: Pretend you are that person. Create a simple 90-day action plan that needs <$1,000 upfront and has a 95% chance of success. List the top 3 risks.