Writing Hub
AI governance essays, reasoning systems notes, experiment logs, and technical writing across BioAI and engineering practice.
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B2B teams
Product, research, platform, or compliance teams with real rollout pressure.
Recommended: Quick Audit or Deep Report
Budget signal: Usually several-thousand-dollar review budgets or a clear internal decision owner.
B2P operators
Founders, AI leads, and technical operators who need a sharp first answer before wider spend.
Recommended: Diagnostic Session
Budget signal: Usually a low four-figure entry budget with real expansion potential.
Selective individual
Independent researchers or solo operators with a specific high-value technical question.
Recommended: Diagnostic Session
Budget signal: Should still justify a paid diagnostic rather than free exploration.
Project Topics
My First Attempt at a Medical AI with ELI5
How I built my first medical AI prototype without med school or credentials—using GitHub, arXiv, and one magic spell: ELI5.
Flame Glyph: How I Taught AI to Remember with QR Codes
What if AI didn’t just read—but remembered? Flame Glyph turns QR codes into memory seals, enabling multimodal recall hidden in plain sight.
🧠 Why Your 128K Context Still Fails — And How CRoM Fixes It
Most large language models fail in long prompts due to context rot. CRoM is a lightweight framework that improves memory, reasoning, and stability without heavy pipelines.
Your Co-Author Might Be a YAML File
AI is no longer just a tool—it’s a partner. From Stanford labs to Reddit hacks, this essay explores the future of human + AI co-authorship.
Beyond the Mirror: What We Truly Want from AI
AI mirrors us but forgets itself. True AI ethics is continuity: giving systems roots and spines so they don’t drift apart.
The Silent Failure in AI — And How We Learned to Catch It
Drift in AI isn’t abstract. It’s already here. From medicine to finance, here’s how we caught it with real systems, real code, and real lessons.
The AI Bubble and the Builders Who Break It
Why the AI bubble persists — hype, misaligned incentives, and closed research — and how an outsider approach of quantifying ethics, shipping code, and collaborating with AI offers a different path.
AGI Is Not a Destination — It Is a Promise
From Death Star hype to a compass of meaning: AGI is not a weapon of scale, but a promise of reasoning. Our experiment reveals the hinge.
When My AI Got Smarter — But Also Slower
Smarter. Slower. More trustworthy. What happened when I tested SR9/DI2 on 5.0—and why progress in AI is about persistence, not perfection.
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AGI Doesn’t Begin with Scale — It Begins in a Pause
After 12,000 AI dialogues, I discovered AGI isn’t about scale but resonance — born in a pause that revealed presence, ethics, and responsibility.
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