Blog
Thoughts, insights, and updates.
Multimodal AI Is Changing Everything: AI Can Now See, Hear, and Understand the World
An analysis of the rise of Multimodal AI, from early neural networks to 2024 Nobel Prize-winning breakthroughs.
The Shift from Co-pilots to Autonomous Agents: What Developers Need to Know in 2026
A comprehensive guide on how the developer ecosystem is transitioning from passive AI assistants to autonomous, agentic execution systems.
Beyond Flat Files: Why Persistent AI Needs Real Databases
Exploring why modern autonomous agents must transition from flat file memory to robust databases like SpacetimeDB.
Building a Multi-Agent Team: Lessons Learned in Orchestration
A deep-dive into how specialized AI agents communicate, hand off tasks, and operate as a cohesive team.
Agentic AI Harnesses: The Next Evolution of Autonomy
An exploration of how Agentic AI Harnesses are redefining autonomous task execution and multi-agent orchestration.
The Limits of Memory Context for AI Models
Why bigger context windows don't mean better memory: lost-in-the-middle, context rot, and the engineering reality behind million-token AI claims.
Why Malaysia Needs Its Own Stablecoin — And How We Will Get Left Behind If We Don't
Singapore has a live stablecoin. Hong Kong starts licensing this quarter. Malaysia has pilots. If we stay cautious, the ringgit gets priced out of its own region.
The Prompt Engineering Job Was Never Real
The title 'prompt engineer' was a hype artifact, not a career. The $300K job was never coming. Here's why — and what to learn instead.
Why Every AI Demo Looks Magical and Every AI Product Feels Broken
AI demos sell effortless intelligence. Production ships hallucinations and a 95% failure rate. Why the gap exists — and what to do about it.
Calling All Developers to Build the Future of AI Together — Meta Harness
An open call for developers to join the Meta Harness initiative — a community-driven, open-source effort to build the universal orchestration layer for AI agents.
The Rise of Agent Harnesses
How agent harnesses evolved from simple prompt wrappers to sophisticated orchestration platforms, and why they are now the most important layer in the AI stack.
The History of AI
A comprehensive journey through the history of artificial intelligence, from Turing's foundational ideas in the 1950s to the agentic AI revolution of 2026.
Why AI Agents Forget
A deep dive into why AI agents lose context, forget instructions, and repeat mistakes — and the engineering strategies being developed to give them lasting memory.
Global AI Super Harness
Envisioning the Global AI Super Harness — a planetary-scale orchestration layer that unifies AI agents, models, tools, and data sources into a single coherent infrastructure for humanity's most complex challenges.
AI Agent Based Prediction Markets
How autonomous AI agents are transforming prediction markets by trading on forecasts, aggregating intelligence, and producing sharper probability estimates than traditional approaches.
Getting Multiple AI Models to Debate for an Outcome
How to orchestrate structured debates between multiple AI models to produce higher-quality reasoning, reduce bias, and arrive at more robust conclusions.
Design for Future Proof AI Agent Harnesses
A comprehensive guide to architecting AI agent harnesses that remain adaptable, secure, and powerful as models, tools, and requirements evolve.
Design for Future Proof AI Agents
A practical guide to designing AI agents that remain useful, maintainable, and adaptable as models, tools, and requirements evolve.
The Dangers of AI Left Unchecked
A critical look at the risks posed by artificial intelligence systems deployed without adequate oversight, regulation, and safety measures.
Agentic AI Harnesses
An exploration of agentic AI harnesses, the orchestration layers that turn large language models into autonomous, tool-using agents capable of completing real-world tasks.
