What is a really good laptop for doing heavy Ai automation creating under $2k?

Microsoft's Copilot is making news, and it doesn't look so good... -- WebProNews ran a piece titled “Microsoft 365 Copilot Faces Commercial Failure Amid Low Adoption”, citing high pricing, user frustrations, and weak performance vs rivals. -- TechRadar and Bloomberg report that even companies that bought Copilot licenses struggle to persuade employees to switch — many prefer ChatGPT-like tools. -- Internal doubts are growing over Microsoft’s Copilot branding strategy. Employees say users can’t tell multiple Copilot-branded tools apart. 🧩 I warned Microsoft two years ago about Bing Chat. And Copilot is proving the lesson still stands. I once called it “the banana in the machine” — after Bing Chat inexplicably pulled a line about bananas and Mount Everest from another user’s conversation into mine. Absurd, yes--and also a bit unnerving... but also a glimpse of how fragile AI privacy really was. Back in 2023, I wrote two pieces — A Tale of Two AIs and Bing Chat Lays Another Egg. On September 8, 2023, I begged: "Microsoft should shut down Bing Chat at once on a global scale." Bing Chat had two fatal flaws: - It leaked user conversations across sessions. - And it couldn’t get college football scores right (I mean... what else is there, right?) Fast forward to today: Copilot is Bing Chat with better branding and the same problems. Accuracy still wobbles. Privacy still feels like an afterthought. And people still don’t trust it enough to use it. The irony? Microsoft keeps chasing “AI transformation” while missing the basics of trust, context, and credibility. You can’t market your way around broken fundamentals. The same six lessons from 2023 still apply: 1️⃣ Trust first. No adoption without it. 2️⃣ Accuracy matters. One bad answer can kill a reputation. 3️⃣ Don’t overpromise. The hype hangover is real. 4️⃣ Fix privacy optics. People remember. 5️⃣ Test empirically. Data beats demos. 6️⃣ Earn users. Don’t just license them. Having AI isn’t enough--you have to make it worth trusting.

Each week, members inside AIS+ are proving that consistent action compounds fast - turning ideas into real systems, wins, and breakthroughs. It’s incredible to see how far commitment and curiosity can go when you combine them with the right tools. Here are a few standouts from this week inside AIS+ 👇 👉 @Aidan Finnegan landed a $13,000 consulting deal with a construction firm - building a full suite of bots for lead qualification, scheduling, and quality control. Real automation, real business impact. 👉 @Sarvesh Gosavi built REESE, a full-blown real estate analysis agent that fetches Zillow listings, models financials, and generates property insights - a huge leap for AI in real estate. 👉 @Larry Collett unlocked randomized avatar video generation using HeyGen + n8n Data Tables - automating dynamic avatar switching for script delivery through Telegram. 👉 @Edward Slater landed his first client by creating a voice-powered quote and invoice system using n8n + Xero - automation triggered entirely by voice chat. 👉 @Seifeddine Ouerghi released AI Whisperer, a QA-style agent that audits workflows, detects risks, and explains logic flow - designed to make automations safer and clearer. Every one of these wins started small - an idea, a workflow, a single message. Keep experimenting, keep sharing and keep showing up. Because the next big win could easily be yours 💪 ✨ Want to see more breakthroughs like these every week? Claim your spot inside AI Automation Society Plus - where builders turn consistency into results and every win inspires the next one 🚀

I am building a automation where the user can input a pdf document and then it extracts the text and gives them an Video Overview (Just like in NotebookLM). Any suggestions on How to use it? I researched alot but was only able to find out tools like HeyGen which only provides AI avatars. The problem is Most of these tools don't give API access to specific tools. Would really mean a lot to me for your suggestions.

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