One Person, 100+ Tasks, Zero Excuses: Building a $500K Platform with AI
Josh Schultz recently asked a question in an article I can't stop thinking about: What happens when everything that can get codified, gets codified?
I'm living the answer right now.
Three Days. Not Three Months.
Three days ago, I started building the beginnings of a New Domestic AI Recruitment Platform. Four initial products. Over 100 tasks. Integrations across Salesforce and three other systems. A 24-week roadmap.
The traditional way to do this? Hire a solutions architect, a couple of developers, a project manager, a business analyst, and a QA lead. Spend six months coordinating. Deal with handoff errors and scope creep.
I'm doing it differently.
The first product, an AI-powered agent that engages job applicants outside of business hours, is 65% complete. In three days. I'm tracking 3-4 weeks ahead of an 8-week timeline.
The Speed Didn't Come From Nowhere
This isn't my first AI-enabled project. The latest one, delivered at the end of 2025, was multi-channel outreach, multi-agent product with communication capabilities across voice, text, chat, and email. That one took 10 weeks and saved us 6 figures in vendor costs.
Just a month ago, that felt fast.
Now I'm moving at a completely different pace. The difference? I am improving at pairing deep thinking with high-speed execution. I spend focused time on the strategic decisions. Then I shift gears, translate strategy to execution, and move through tasks in rapid succession, working alongside AI that handles the implementation.
What I'm Actually Doing
I'm not a developer. I'm Chief Innovation Officer. But I'm filling roles that used to require separate people:
- Product Owner — Making scope and priority decisions
- Solutions Architect — Designing integrations and data flows
- Project Manager — Tracking 100+ tasks across 4 products
- Technical Lead — Setting standards, reviewing work
- Business Analyst — Writing requirements, mapping systems
- QA Lead — Defining tests, validating before launch
AI handles execution. I handle direction and judgment.
Small Team. Real Output.
In Notion's Startup Stack, Dan Anisse of Relume makes an observation I've experienced firsthand: when you remove everything that doesn't matter and focus only on what does, small teams can move just as fast as large ones.
For this project, my "development team" is me and a series of AI agents. But the output looks like an enterprise PMO:
- A live dashboard tracking over 100 tasks
- Four complete product specs with technical detail
- A production environment deployed and ready
- Weekly executive updates
Traditional cost for this scope? Conservatively $450,000–$500,000.
What it took? My time (and of course our domain experts), a few tools, and some modest usage fees.
The Two Modes
Here's what I've learned: conducting and contemplating are two different skills. For me, they don't work at exactly the same time.
Conducting is high-frequency movement. You're directing agents, systems, and people in rapid succession. Decisions flow. Tasks complete. Momentum builds.
Contemplating is the opposite. It's slow, protected space where novel solutions surface — the kind of insight that can't be prompted.
I've had to deliberately separate them. Mornings for deep work. Alone, uninterrupted, working through problems that require genuine thought. Afternoons for high-velocity sprints where AI and I clear task after task.
The acceleration I'm experiencing now versus last quarter? It came from learning to guard both modes ruthlessly. Then figuring out the right time to switch gears.
What This Means
The after-hours, inbound agent we're building will instantly engage the 50% of our applicants who currently get limited response to their inquiries until the next business day. By then, many have moved on. Three other products will give them services and insights we didn't know we could deliver until now. All in record time (at least for us).
That "old" outreach product (we just delivered last quarter)? That will flip from standard "we have jobs" messages, to highly personalized "we want to learn about you, what you really want, and help you get it." Meeting candidates on their terms, not ours.
None of this requires a massive team (I am lucky, because I do have team members embracing this approach themselves, makes for great thought partnership). It requires clarity, lived experience with the problem, and the willingness to work at a higher altitude than I ever have before.
The Bottom Line
Work is changing. You can now deliver depth and quality, at breakneck speed. The question isn't whether to embrace AI. It's:
"How are you going to use it to learn, imagine, and create? What will you deliver?"