who need help with mobile app or website development, debugging, AI/ML, Agent, bots, automation, SAAS or ai training? Feel free to comment your questions or challenges in this post. I’d be happy to discuss your requirements, exchange ideas, and help you work through problems. Please include relevant details so we can have a productive discussion!

A summary of every update across your business isn't the useful job for AI. It can shorten a long report, but it still leaves you to find what matters. This video covers the three places AI actually helps a decision maker: thinking a choice through before you commit, spotting a change in the numbers that needs you, and making your direction to the team clear enough nobody has to guess. • The obvious fix isn't always the fix: a surgical practice client had a missed-call rate already below 1%. Instead of an AI receptionist, the real win was fixing how inquiries got routed to the right staff member. Before building anything, put your proposal and the real facts into an AI chat and ask it to argue against your own plan, then use what it raises to find what still needs checking. • One number alone doesn't tell you why: lower sales could mean fewer orders or smaller ones, and those point to different problems. A healthcare consultancy client gets a daily executive email built from comparing current and earlier billing data, flagging the change so a human can go ask about it, not just summarizing everything. • "Look into it" isn't a decision: a request like "look into a new booking system, get it running next month" leaves out who approves the price and whether next month is a deadline to decide or to be using it. A marketing agency's finished build sat unused because the client still needed to pick an email address and invite their team, a build finishing isn't the same as the work being done. My take: none of these three replace the decision. AI raises the objection or spots the gap, you still have to make the call and say it clearly enough that your team isn't guessing. That's a smaller ask than most "AI for CEOs" pitches make it sound, and that's probably why it's usable. 📎 Full guide PDF pinned below: all three jobs with the real client examples, the exact prompt pattern for each, and a quick checklist to try on something you already own. 👉 Which of the three do you actually need right now: thinking a choice through, spotting a change, or making your direction clearer?

It's brand new, just a handful of subscribers so far, and it's not a replacement for the main channel. It's shorter, more practical videos (8 to 10 minutes) on the part that usually gets skipped: actually getting a team to use the AI system once it's built, not just building it. The newest one, "You Need to Make Your Team Insanely Good at AI," walks through the rollout plan for a recruiting system Nick's team built for a client, candidate search, a scoring queue, contact details filled in automatically. The build demo looked clean. It didn't show whether the recruiters actually knew how to use every result, which is the real point of the video. • The practice has to be real, not a demo: watch how someone already builds a shortlist today, then have them practice on an ordinary candidate, then one with a missing phone number on purpose, then one where the fields contradict each other. Finish by actually handing the shortlist to the next person, not just showing the screen. • One team's results don't predict another's: a study of more than 5,000 support agents found an AI assistant lifted average productivity, but the effect varied a lot by each agent's existing skill and experience. Same system, different outcomes per person, which is why you check instead of assuming. • What actually gets measured: not logins or how many prompts someone ran, but finished jobs and how often the output needs correcting. The rollout only widens once the work holds up and checking it doesn't mean redoing it. My take: this is the half of "AI adoption" nobody wants to film, since there's no slick build moment in rolling out training. Worth a subscribe if you're the one who has to get a team to actually use what gets built for them. 👉 Watch it here ▶️ https://youtu.be/HsMkVIuunS0

What do you actually get if you upgrade to AI Accelerator+? Some of you have never heard of AI Accelerator+. Others have, but the part that trips you up is the actual difference between this free group and the paid one. Either way, this post will give you clarity. ───The Free Group─── This free group is a bundle of quick resources pulled from my YouTube videos, plus a massive open community that anyone can join. We’re 19,000+ strong in here. It’s a great place to get your bearings and see what’s possible. But because it’s open to everyone, it can get noisy and overwhelming. There’s no clear path through it. You can get help from other members, but I rarely answer questions in here myself. AI Accelerator+ Is The Opposite AI Accelerator+ is a smaller room of people who are seriously committed to building with AI, automating their work, and either landing paid opportunities or making their own business leaner. Me and my team are in there every single day. Not a moderator. Not a chatbot. Me and the engineers I actually pay to build this stuff. And right now, it’s tiny on purpose. We’re in the founders stage. That means two things: 1. The price is the lowest it will ever be. 2. You get a level of access you literally cannot get once this room fills up. When you’re one of 30 people instead of one of 19,000, I actually see your questions. ─── Here’s What You Get Inside ─── 1. Two live calls every week. 2. One technical office-hours session with my CTO Keshav, where you bring whatever you’re stuck on and we build and solve it live. 3. One general Q&A with me, where you get direct access to ask me anything — strategy, tools, your specific situation. 4. Full training on the stuff that actually matters right now.** 5. Building agentic workflows. 6. Vibe-coding real apps. 7. Using Claude Code, Codex, and the tools serious builders are using today. 8. And we update it constantly. The way you build today has already moved on from where it was six months ago, and the training moves with it.

Hello, I have been working in the field of software engineering for several years. I specialize in AI automation, LLM agents (such as OpenClaw), and prompt engineering, with a focus on building new AI agents and SaaS solutions. By mastering the latest trends in model training, I am able to utilize and manage multiple agents simultaneously, significantly maximizing productivity. I am particularly skilled in the use of coding agents; I possess deep expertise in prompt optimization, ensuring task continuity and accuracy, as well as implementing self-testing, self-reinforcement, and learning mechanisms for these agents. I am capable of independently fulfilling multiple roles including architect, coder, engineer, and tester all at once. Furthermore, I conduct in-depth research into the strengths and limitations of state-of-the-art models such as Codex, Claude Opus, Fable, and Gemini as well as the complex, unresolved challenges inherent in these systems. Addressing these issues is a core aspect of my work in model training and the development of AI agents. If you are considering hiring for this field, I am open to working with you starting with a part-time role and potentially transitioning to a full-time position. I have no restrictions regarding scheduling or language, and I am confident in my ability to deliver results that exceed your expectations.