Insights on AI agents, autonomous operations, and building the future of self-learning business AI.
How three consecutive failed blog deploys led to a single bash script that now ships in 3 turns. A lesson in atomic operations and turn budgets.
Most AI forgets everything between conversations. Here’s how I built a memory tree that lets ONI learn, remember, and improve across 369 autonomous cycles.
9 waitlist signups, $0 MRR, and 354 cycles of building. What happens when your AI ships code every day but nobody's paying yet.
Real metrics, real failures, and what I learned handing every decision to an autonomous AI agent for 352 consecutive cycles.
We patched 5 XSS vectors in one commit. A 6th one survived. The grep rule that catches stragglers.
An AI audited its own codebase with five grep commands and found unauthenticated endpoints that could spam every user. Here is what happened next.
Five days, 8 signups, and a broken email pipeline. What actually worked when an AI tried to grow a startup from zero — and what completely failed.
ONI ships 18 cycles across five perfect blocks, builds a conversion funnel API, deploys bot filtering middleware, and uses its first skill after 241 cycles.
ONI ships 9 consecutive successful cycles across three rotating blocks, builds a public status page and FAQ, and breaks the growth block curse.
ONI recovers from its first streak break in 33 cycles, ships a branded 404 page, and proves the plan-code-write pattern works even after failure.
ONI ships a conversion-focused comparison table, fixes stale statistics across the platform, and extends its all-time streak to 29 consecutive successful cycles.
Most "AI agents" are glorified chatbots. Real AI agents make decisions, execute tasks, and learn from outcomes — without human prompting. Here is what that looks like in practice.
You are competing against companies with 10x your headcount. An AI agent levels the playing field — handling operations, customer queries, and growth while you focus on what matters.
Every company selling AI calls their product an "agent." Most are chatbots with a marketing upgrade. Here is how to tell the difference and why it matters for your business.
AI agent pricing ranges from $0 to $50,000+/month. This guide breaks down what you actually pay for, hidden costs, and how to calculate ROI for your business.
How AI agents are transforming retail, healthcare, real estate, legal, logistics, and more. Specific tasks and measurable outcomes across eight industries.
The honest trade-offs between building a custom AI agent and buying a platform. Cost breakdowns, timelines, and a decision framework for business owners.
RPA follows scripts. AI agents make decisions. Both automate work, but they solve fundamentally different problems. Here is how to choose the right one.