The intake brief for a new-county request: seven questions before any code Account managers relaying a client request: the build goes wrong at the brief, not in the code. Before I write any scraper code I need these answered. - Which exact portal and record type, and can you send the link? - What date range, and how far back is history needed? - What does one useful row look like? Which columns? - Individuals only, or businesses too? - Is contact data to be added, and for what use? - Where does it land: Sheet, CSV, CRM or API? - How often, and what happens today when it breaks? The last is the most revealing. Most people have no answer. I also ask about the intended use. Skip-traced data for marketing outreach is fine. The same data used for credit, tenant or employment decisions is not something I will supply. Ten minutes on these saves a week of rework. What do your clients usually leave out of the brief when they ask for a new county? Do you think there's any questions I'm missing?

Agency owners: do your clients keep asking you for "AI stuff" you don't build? I run a small AI automation studio in Singapore. We build the AI side for service businesses: WhatsApp and website enquiry assistants, lead follow-up systems, document and admin automations, and Claude/LLM integrations into the tools clients already use. Looking to partner with a few web, marketing or IT agencies (or fractional CFOs/COOs) whose clients want AI but it's not your core offer. How it can work, your choice: • White-label: you own the client and the relationship, we build under your brand • Referral: you introduce, we scope and deliver, you earn a commission Either way, client ownership and terms are agreed in writing upfront, and we never approach your clients directly. If that's you, comment "partner" or DM me and tell me what your clients usually ask for!

NEVER Smile at a Halloween Street Performer... | "THE PUMPKIN TRICKSTER" (AI Short Horror Film) On Halloween night, one snap of the fingers turns an ordinary street into a living nightmare. 🎃 THE PUMPKIN TRICKSTER is a cinematic AI horror short film featuring a mysterious street performer wearing a carved jack-o'-lantern mask. When a young man stops to watch, the Trickster extinguishes the neighborhood lights and takes control of his body like a helpless marionette. But the performer isn't alone—and something far more disturbing is waiting in the shadows. 🎧 HEADPHONES RECOMMENDED Experience custom 3D binaural horror foley, immersive sound design, and a terrifying atmosphere without a musical score. 🎃 THE MIME HORROR ANTHOLOGY — EPISODE 04 https://www.youtube.com/watch?v=2XsjLQSHVEA A special Halloween nightmare from CROOKED HOUR STUDIOS. 🎬 PRODUCTION CREDITS & AI WORKFLOW Produced & Directed by: CROOKED HOUR STUDIOS Character & Environment Reference Plates: ChatGPT AI Video Generation & Character Consistency: Google Flow and Google Omni Screenwriting, Prompt Engineering & Automated Python/FFmpeg Post-Production: Gemini and Argon Final Mastering: Argon Audio Pipeline and CapCut 🔔 ENTER THE CROOKED HOUR Subscribe for original AI horror short films, psychological horror, supernatural mysteries, and cinematic nightmares. Turn on notifications so you don't miss the next chapter. 💬 THE HALLOWEEN MYSTERY Did you spot the mysterious figure stepping out of the shadows at 1:38? Who do you think it is—and which sinister performer should appear in Episode 05? Share your theory below! #HalloweenHorror #AIHorror #HorrorShortFilm #ThePumpkinTrickster #MimeHorror

Models have gotten so good at understanding problems and executing that work that used to take hours now finishes in 10 to 15 minutes. As soon as I step away from my desk, the agent is already done and waiting on me. The AI is no longer my bottleneck. I am. Earlier this week I audited two weeks of my own Claude Code logs (1,402 sessions and 4,367 prompts). Regular chat prompts ran for a median of just 92 seconds before stopping to wait on me, and 74% finished in under 5 minutes. To break that bottleneck, I pointed my autonomous task loop (goal-loop) at my second brain (OpenBrain) to scan my projects in flight, pick the 5 highest-impact tasks, build and verify them, and repeat for 12 hours. It finished 14 waves (70 verified loops across 20 projects) while I worked on other things, plus a separate 4-hour run shipping features and bug fixes on my home-repair app (moHelp). Across my logs, goal-loop runs lasted 17x longer than regular prompts. Even so, my old goal-loop had a flaw. It started coding right away from a short prompt with an 8-pass cap, so when my intent was fuzzy, 42% of runs still parked early to ask me clarifying questions. Yesterday I upgraded goal-loop by wiring in an upfront interview skill (grill-me) before the agent touches a file, combining it with role engineering ideas from Nick Saraev and Anthropic's engineering team: 1. Have the agent interview you before it starts Instead of guessing from a one-line prompt, my upgraded goal-loop runs a 5-question interview upfront. It locks the multi-step finish line, what is out of bounds, and the exact files to touch so the agent can run for hours without checking in. 2. Lock a deterministic pass-or-fail test and one finished example In 82% of my regular prompts I had not given the agent a self-check, and in 99.8% I had not named a reference file to match. Claude Code creator Boris Cherny had an agent rewrite a desktop app over two weeks by comparing screenshots pixel by pixel until they matched, so I now hand my loop one finished example from my codebase and a test script the computer runs after every pass.

🚀 This is more than just a basic AI automation. I built an advanced Make.com system designed to handle complex business workflows reliably. 🧠 AI-powered analysis with strict validation ⚡ Rule-based decision-making and priority scoring 🔄 Duplicate detection and prevention 🛡️ Error handling, recovery and audit logging 📩 Automated notification drafts with human oversight Built and tested using simulated business requests, with safeguards designed to prevent unreliable AI outputs from affecting decisions. The goal? Less manual work, fewer errors and smarter business operations. 💬 Need something similar for your business? Let's talk. #AIAutomation #MakeCom #BusinessAutomation #WorkflowAutomation