I'm a commercial pilot (ASEL, AMEL, Instrument) with 373.2 total hours. My day job is managing a mobile electronics shop in Merced, CA. I'm not flying full time yet. The goal is to get to 500 hours for the next Part 135 threshold, and eventually 1,500 for ATP minimums. That takes money I don't have sitting around.
So I'm building income streams on the side, and using AI automation to do most of the heavy lifting while I'm at work. Here's an honest accounting of where things stand.
The Stack: OpenClaw + Talos
Everything runs through OpenClaw, an open-source AI agent platform that runs on my Mac 24/7. My agent is named Talos. It handles:
- Content creation: Blog posts, SEO optimization, marketing copy
- Code generation: Helps build and maintain my iOS apps
- Market research: Scans for opportunities, analyzes competitors
- Task management: Tracks progress across all projects via Todoist integration
- Cron automation: 20+ scheduled jobs run overnight while I sleep
Talos isn't magic. It's infrastructure. The value comes from having a system that moves projects forward during the hours I can't.
What I'm Building (Honest Status)
KDP Books — Live, First Revenue
The aviation catalog now has four Amazon workbooks, with the private pilot book carrying the clearest current sales signal:
- Private Pilot License Workbook: 500+ practice questions, $19.99 print / $9.99 Kindle
- Instrument Rating Workbook: Comprehensive IFR prep, $9.99 Kindle
- The Complete Commercial Pilot Workbook: written test and oral exam prep for commercial candidates
- Multi-Engine Add-On Rating Workbook: PA-44-focused V-speeds, Vmc, OEI, and oral prep
All four are now collected on the Aviation Pilot Workbook Series page so the book funnel has one clean destination instead of scattered product links.
March-May KDP tracking through May 13 now shows $392.63 USD plus €9.41 EUR from 47 workbook sales, with the private pilot workbook carrying most of the volume, the instrument workbook second, and Commercial now contributing multiple May sales. Still small, but no longer imaginary. AI helped with formatting, keyword optimization, product copy, and the publishing workflow.
FeedFare — Live on the App Store
An iOS app where you trade steps for screen time. Set a daily walking goal, earn minutes, and use movement to build better phone habits.
Now live on the App Store as of March 2, 2026. Free with premium IAP. Not generating revenue yet — just launched. AI helped build it, optimize the App Store listing, and generate ASO keywords. The app works. Now it needs users, trial starts, and conversion data.
Kalshi Weather Bot — Paper Trading
A Python bot that scans Kalshi weather prediction markets every 30 minutes. It compares NOAA and Open-Meteo forecasts to market prices, identifies edges above 15 cents, and sizes positions using Kelly Criterion.
The bot ran paper for 35 days: 217 resolved trades, 76.5% win rate, and $1,773 in simulated profit. It went live on March 28, 2026 with a $424 bankroll, then got pulled back into paper/gated mode after live calibration checks showed the weather strategy was not capital-ready. AI built the scanner and review layer. The useful lesson was that automation still needs brutal gates.
More Apps in the Pipeline
- Inflection Point: Life strategy game (iOS). Built, needs to be submitted to App Store.
- SpendSlap: CSV spending roaster with AI analysis. Built, needs RevenueCat wired.
- PetFace: AI pet portraits + breed detection. Built, needs Replicate API + RevenueCat.
Notice the pattern: built but not shipped. That's the gap I'm closing right now. AI is great at building. Shipping requires human follow-through on App Store submissions, payment wiring, and marketing.
YouTube — Not Yet Monetized
My YouTube channel documents the journey. AI helps with content planning, script drafts, and thumbnail concepts. It's not generating income yet. I'm treating it as a long-term play and a transparency tool for the Flight Funded experiment.
What AI Actually Does Well
After several months of running this system, here's what genuinely works:
- Overnight work: Talos runs cron jobs at 3am that draft content, back up data, scan markets, and prepare morning briefs. I wake up to a summary of what got done.
- Research at scale: Competitive analysis, niche scouting for KDP, SEO keyword research. Tasks that would take me hours take minutes.
- Code generation: Going from idea to working iOS app in days instead of months. I'm not a developer by training. AI closed that gap.
- Content production: Blog posts, product descriptions, social media drafts. The volume would be impossible solo.
What AI Doesn't Do
- Ship products: Every app still needs manual App Store submission, screenshot creation, payment integration.
- Build an audience: No shortcut for genuine engagement. Reviews, followers, and trust take time.
- Replace judgment: The Kalshi bot has a devil's advocate layer because blindly trusting AI signals with real money is how you go broke.
- Guarantee income: KDP revenue is real, the OpenClaw Playbook is live, and the Kalshi bot is paused because the market baseline beat it. Still early, no fairy dust.
The Math
The near-term target is 500 hours for the Part 135 path. At 373.2 hours, that leaves 126.8 hours. At roughly $200/hr, that is about a $25,360 gap. ATP minimums are the later mountain, but the next hill is 500 hours.
The cleanest signal right now is aviation products: March-May KDP tracking is up to 47 workbook sales and $392.63 USD through May 13, the multi-engine workbook is live, and the OpenClaw Playbook is now a real Gumroad product. FeedFare is live on the App Store. Kalshi is back in the penalty box until the gate earns trust.
What's Next
- Sell what is already shipped: The OpenClaw Playbook and aviation workbooks need distribution more than another polish pass.
- Grow KDP reviews: Reviews, the new aviation workbook funnel page, and eventually Amazon Ads are still the cleanest levers for the aviation catalog.
- Improve FeedFare conversion: The app is live; now the funnel has to prove trial and paid conversion.
- Keep Kalshi gated: No live restart until calibration beats the market baseline with enough settled data.
- Join a flying club: Cut hourly costs from $200 to something less stupid. Small victory, large bill.
I'm tracking every dollar publicly on my Flight Funded dashboard. Real numbers, real time, no spin. If AI-powered side income can fund a pilot career, you'll see it happen there first.
The honest version of this story isn't "AI made me rich." It's "AI gave me leverage I didn't have before, and now I'm trying to turn that leverage into something real." I'll let you know how it goes.