Nexusdesk

From Voice Note to App Spec in 30 Minutes

500 Global

StartX

Anson Zeall

Founder and CEO, Nexusdesk;
B11 500 Global, S17 Startx Alum

See how to transform rambling voice notes into structured specifications that AI can actually build from.

Turn messy ideas into AI-ready specs

Learn the exact workflow: Fireflies → spec-analyzer → spec-writer. Watch it work live on a real app.

Master the 3-agent framework that eliminates debugging

Walk away with the spec-analyzer and spec-writer agent prompts. No installation, no coding. Just paste and start.

Get copy-paste templates you can use within 24 hours

Build permanent AI muscle, master the foundations of how AI actually works, and adopt future-proof tactics for the highest quality outputs.

Founder, Free Agency; AI product leader.

OpenAI

Anthropic

Samsung

a16z

Google

Sherveen Mashayekhi

Founder & CEO of Free Agency. AI Product Leader, Investor, & Applied Researcher.

Cohort 9

Cohort 10

Stop relearning AI every month. In 3 weeks, master the mechanics and systems that make AI output reliable, high-trust, and portable -- across ChatGPT, Claude Code, CLI agents, and whatever comes next.Most people are "AI literate" (they can ask for things). This bootcamp makes you AI fluent. You'll be able to reliably steer, debug, and compound results, even as tools change.The course centers around 3 pillars: 1. Gain a foundational understanding of how LLMs and agents work that will keep you ahead of the game moving forward. It's durable literacy. 2. Build an AI operating system around your particular personality and workflow that will make using AI low-friction, high-trust, and high-impact across tools. 3. Develop an initial set of habits to help you build muscle over time, because it's your reflexive ability to reach for and use AI that will make this all matter.If you already use AI but any of these feel true, this course is for you:• Your results are inconsistent – sometimes gold, sometimes garbage• You can't get an AI agent to do what others can, but you can’t diagnose why• You spend too much time rewriting and re-prompting• You keep trying new tools, but nothing compounds

Gain foundational understanding and build your personal AI operating system.

Think beyond the model, get into the scaffold and context.

Not “better prompts” -- instead, better mechanics.

DRIVE, DIFF, your personal AI repo, and more.

Adopt an agent-forward framework to get the best of what AI has to offer.

Instead of being left behind, you'll get and stay ahead of the AI curve

Your personal AI tech stack and operating system.

• you want a PDF of “50 magic prompts”
• you’re not curious about how AI actually works
• you already live inside arXiv 

This course is NOT for you if...

This course is made for you. We'll mostly stay outside of coding tools, except guided projects where they'll be useful even in your context.

If you are non-technical...

... but you still want a foundational understanding of how LLMs and agents work, you'll enjoy this course (a lot)!

If you're already good at using AI...

This is for ambitious professionals who already use AI weekly (or daily), and want reliability and leverage.

That includes founders, operators, product leaders, PMs, engineers, analysts, designers, finance, and GTM leaders.

No technical experience required. This is primarily aimed at non-technical individuals, though engineers also love this course.

Stop no-code hacks. Start from zero. In 3 weeks, build with AI agents and ship on your domain.

Built 15 AI Agents in 15 Weeks | Apple

Apple

LinkedIn

Udemy

Nathan Wang

AI Builder Shipping 1 AI Agent / Week | PhD Engineer/TPM @ Apple and Meta

AI Super Individual Cohort 1

AI Superpower Cohort 2

You've seen AI demos. Maybe you've even vibe-coded one. But shipping a real AI Agent—with auth, a database, and actual users? That's where everyone gets stuck.This 3-week sprint, condensed from my <a target="_blank" rel="noopener noreferrer nofollow" href="https://ai-nate.com/mentoring.html">$9,800 private program</a>, takes you from zero to a live, deployed AI Agent on your own domain. No 6 months of syntax. No "no-code" ceilings.By the end, you will:<ul><li>🚀 Ship a live AI Agent—deployed for real users, not a localhost demo</li><li>🏗️ Understand the full stack—so you can evaluate and fix what AI generates</li><li>🤖 Work with the latest models—Claude, Gemini, and autonomous agent frameworks</li><li>🛠️ Skip the setup hell—using battle-tested auth, API, and deployment boilerplate</li></ul>We build together. You leave with a link, not a tutorial.

Demos Are Easy. Production Is Hard. Ship Your AI Agent in 3 Weeks.

Ship a Production AI Agent to Your Own Domain

Understand Full-Stack Architecture (Without Writing It From Scratch)

Build Autonomous AI Agents That Work While You Sleep

Conquer Auth, APIs, and Deployment in Hours (Not Months)

Evaluate and Fix AI-Generated Code With Confidence

Product &amp; Program ManagersStop waiting for engineers. Build high-fidelity prototypes yourself to validate ideas and unblock your roadmap.

Software &amp; Hardware EngineersYou know logic but hate the Web Stack. Use AI to bridge the gap and translate your rigor into shipping apps.

Founders &amp; EntrepreneursStop paying agencies $20k. Escape the "No-Code" trap. Build, deploy, and own your production stack in just 3 weeks.

Go from documenting workflows to building and deploying AI agents yourself

GTM Engineer | The Kiln (a 2X Company)

Agno

Clay

Gumloop

Brandon Guerrero

GTM Engineer at The Kiln | Founder, Orchid Automation

Cohort 1

You already know what to build. You've written the specs, documented theprocess, mapped the workflow. But turning that into working software?That's where it stops.This course teaches you the POC Framework—three questions that turn anyworkflow into a buildable spec: 1. Process: What steps do you take to achieve the outcome? 2. Output: What does done look like? What are you aiming for? 3. Context: What knowledge does someone need to complete the job?Answer those, and Claude Code can build it.I'm not a programmer. But using this framework, I've shipped 19-agent systems, content engines, and full-stack apps. I was Agno's first Builder Spotlight.In 2.5 weeks, you'll extract your own workflow, describe it precisely, and ship a working AI agent. No coding required—just the systems thinking you already have.

Learn to Build with Claude Code + Agno (and ship something real)

Master the POC Framework to turn any workflow into a buildable spec

Build and deploy a working AI agent using Claude Code + Agno

Ship something real—an agent you'll actually use in your work

You'll use this as your project. The clearer you are on what you want to build, the faster you'll ship

A workflow you do manually that you want to automate (come with 1-2 ideas)

You don't need to code, but you should be comfortable installing tools and following technical setup instructions

Comfort with computers—no coding required, but tech-curious

Building with AI means things break. You'll learn to debug by doing. Patience and curiosity matter more than experience

Willingness to iterate through errors

<pre><code class="language-markdown">Builder PMs who write specs that never get built—and want to ship themselves</code></pre>

Founder-operators doing everything manually who want to automate with AI

Ops leaders who've maxed out Zapier and Clay and need custom solutions

Build a PM Copilot: AI that remembers everything, plans your day, and reviews your week. No coding required.

Head of Product | AI for non-tech users

Myles Sutholt

Head of Product, 10+ years - Building AI for non-technical healthcare worker

Cohort 2

85% of AI users report saving hours every week. (Workday, 2026)When researchers actually measured it, experienced engineers were 19% slower with AI. They believed they were 20% faster. (METR, 2025)If senior engineers cannot tell whether AI is helping them, the rest of us almost certainly cannot either.I saw this in my own teams. Same tools, same AI. They used it like a vending machine: throw in a prompt, some inputs after being asked, get polished output, move on.The problem was not the AI. It was what AI knew about their work. Very little beyond what it asked for.Most CEOs report no net benefit from AI. Only about 1 in 10 capture real gains. (PwC CEO Survey, 2026)I built a system that gives AI my real context that compounds over time: projects, decisions, priorities. It changes the output because it can ask much better questions. It already knows everything it needs to act as a virtual team member. You leave with a working system built on your actual work. Not a demo, not a certificate. From ChatGPT basics to building automations, the course meets you where you are.If you work with projects, decisions, and AI, this is for you.

AI Copilot that remembers everything and plans your week. No coding required.

AI That is Visibly Better

Your AI never forgets who you are or what you're working on

Context-switch between projects without losing anything

Wake up to your priorities already sorted

Your weekly review writes itself every Friday

Enable seamless AI handoffs with teammates

You'll build on AI habits you already have, not learn from scratch.

Use ChatGPT or Claude regularly (not just tried once)

Proves you have the "I'll figure it out" mindset the course requires

Have experience with Notion, Zapier, or similar tools

You'll run terminal commands and see code - AI writes it, but you'll see it.

Willing to try things that feel unfamiliar at first

<pre><code class="language-markdown">You want a competitive edge. Comfortable being a beginner if it means being the person others ask "how did you do that?"</code></pre>

You want a competitive edge. Comfortable being a beginner if it means being the person others ask "how did you do that?"

<pre><code class="language-markdown">You can't work more hours. You need leverage, not tips. You want a system that compounds over time.</code></pre>