Insights, updates, and lessons learned from building at the intersection of AI, trading, and healthcare.
Inside our adversarial risk architecture: how the critic agent blocks bad trades before execution, the veto conditions that matter, and why risk management beats strategy optimization.
We reviewed 8 AI crypto trading bots — 3Commas, Cryptohopper, Pionex, HaasOnline, Coinrule, Bitsgap, Shrimpy, and Tacavar. Here's who's actually using AI and who's just calling it that.
Most trading bots fail before they place a live trade — not because the strategy was wrong, but because the architecture was. Here's the full stack: data ingestion, LLM reasoning, risk management, and going live.
Prediction markets are one of the sharpest alpha sources in 2026. Here's how we built an AI bot for Polymarket — the edge, the architecture, and what the data shows.
Manual crypto portfolio management is a second job. Here's how automated rebalancing, risk controls, and systematic execution actually work — and what we learned building it.
Most AI trading bots overpromise and underdeliver. Here's an honest breakdown of how AI crypto trading bots work in 2026 — the strategies, the risks, and what separates signal from noise.
The US biologics market will hit $500B by 2030. Here's the hidden supply chain powering America's biologics boom — cold chain, compliance, and NextGen Biologics USA partnership.
Google's SGE, AI content floods, and algorithm updates changed everything. Here's our 4-pillar framework for ranking in 2026 — with real examples.
Most healthcare AI never makes it out of the lab. Here's how we're deploying AI into real dental and medical practices — the architecture, compliance hurdles, and lessons learned.
Twenty-five trades. Multiple strategies. LLM-driven decisions. Here's exactly what happened when we ran an autonomous trading bot on crypto and Polymarket — the wins, the losses, and what we learned.
The cluster fix from week 2 held under real pressure. The regime flipped mid-week. Equity curve tracker live. +$244.40 cumulative paper P&L at Day 21.
The bot executed its first 8 paper trades. 62% win rate. An overtrading incident caught on Day 11 and fixed by Thursday. Full breakdown of every trade.
Initial setup complete. 9 strategies calibrated. First signals firing. Here's what happened in our first 7 days — including why we took zero trades.
Introducing OralMind — an AI dental workflow platform that helps practitioners catch problems earlier, document faster, and improve case acceptance. Pre-launch now.
A transparent look at our algorithmic trading system — paper trading crypto and Polymarket with 9 strategies, LLM-augmented decisions, and a commitment to safety first.