Build your own digital workforce in under 30 days for free. Hey all! I'm Jonathan. I currently teach at a private school, driven by this mission to create real accessibility around AI. Outside of the classroom, I lead sales teams through SaaS implementations. I come from a background of sales management and enterprise business development, working closely with directors and owner/operators on enabling AI in their work meaningfully. ᴡʜᴀᴛ ʏᴏᴜ'ʟʟ ꜰɪɴᴅ ʜᴇʀᴇ: - AI for Education, made usable: standards-aligned lesson packs, AI-resistant assessments, and "digital workers" (browser agents) that kill busywork so you can win back 5-10 hours / week. - Resource Hub + Playbooks: the good stuff that's usually locked behind paywalls and kept for clients only - free for the first 500 members. - Free Perplexity Pro for 1 Year Cross-industry spillover: I also publish templates for real estate lead gen and legal admin, as I come from this background personally building sales infrastructure, generating over $150k of aggregate revenue for small teams ʜᴏᴡ ᴛᴏ ɢᴇᴛ ꜱᴛᴀʀᴛᴇᴅ: 1. Say hi below: Introduce yourself and share the #1 outcome you'd want this month 2. Book your free 1:1 (15 min): zero pitch - bring one roadblock, leave with 1-2 clear next steps. Book here! 3. Our classroom is constantly being updated with new material, as is our community threads. Check it out, share your progress and thoughts! ᴘʀᴏᴍɪꜱᴇ: This space stays practical, non-technical, and classroom-first. I'll meet you where you are, keep the jargon out, and make sure every asset is something you copy-paste into real work tomorrow. Let's return time where it matters most! 🚀 P.S. After we have a 1:1, I'll be tagging and giving you a mini intro below, feel free to comment and add on!

This section is dedicated to creating self-driving systems. We support you in creating assembly lines, producing real pipeline, drive real revenue, and create real opportunity. How we do this is by incorporating a few frameworks that seem small, but actually take a decent degree of development resources. However, in the stride of keeping this friendly for non-technical, I'll keep this high level. If you want to see how this exists on a more technical level, our resources in the classroom go into this. This is deeply simplified. I've worked with one of the biggest Medicare providers in Philadelphia, servicing a tax firm sales director with over 4 teams relying on the infrastructure I've set up, and numerous other examples, illustrate one point. 80% of the process is sharpening the axe in advance. That's the majority of what we do, compressing the time to see desirable results into days instead of weeks and months. 1) The Red Team A red team is your friendly adversary. It tries to break your automations before real customers do, it does by stress-testing edge cases (leaks, broken selectors, CAPTCHAs, error message handling, and hallucination). It validates the guardrails that we set up in advance, keeps human-in-the-loop feedback gates, run logs and usage. Without red-teaming, you ship brittle flows (which you'd experience using RPA and no code tools without consideration). If you discover these failures early on, you ship resilient systems that fail safely, stay on budget, and produce clean audit trails for troubleshooting. This is the baseline for trust. 2) Prompt Chains, Workbenches, and Cards Manus.im was an early practitioner of this concept, and opened my mind to how to efficiently see success with browser agents in a repeatable fashion. If you're technical, this is where the path diverges because you can truly just hard code a Python and Puppeteer script, see 90% of the results that I'm about to share.

This section promises simple, high-impact workbenches and prompt chains. Experience 10x faster deployment with any agentic builder, designed for non-technical. ---------- For years, there existed a real gap between citizen developers getting started with no code development and then those actually making money with it, learning from the market, and instilling real feedback loops. As an automation specialist myself, I draw great pleasure from revenue-driving automations and have found a real pocket with my background in sales management and business development. However, in recent years, under the ocean of technical jargon, there existed a quiet community around browser-based automations. There's an ocean of companies capitalizing from Browser-Use and their $17 million worth of funding over the years, Browse.ai , Induced.ai , nanobrowser.ai , automa.site , Lindy.ai , Airtop.ai and even Apify.com getting in on the action. Truthfully, the list goes on and on, and it's faced the same wall that GPT wrappers faced when they first entered the market; it's usually the same product under the hood. Don't get me wrong, the service offering is often unique, which is why it's making money. It is useful, but there's so much more that's possible. Instead of traditional RPA, with scripts chained together almost like an assembly line, companies have long reflected on how this relationship between input and output exists in their customer journey. Then, smartly so, augmenting it with AI in the way they understood best. Giving a LLM keys to a browser works when you package it and slap a bunch of marketing together. ChatGPT Agent Mode (formerly known as Operator) has allowed for users to experiment with this effect, and if you've used it enough, you're familiar with its shortcomings.