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Privacy-Preserving Active Learning for sustainable aquaculture monitoring systems for extreme data sparsity scenarios Introduction: A Lesson from a…
Edge-to-Cloud Swarm Coordination for precision oncology clinical workflows with embodied agent feedback loops Introduction: A Late-Night Discovery i…
Self-Supervised Temporal Pattern Mining for coastal climate resilience planning for extreme data sparsity scenarios Introduction: A Lesson from the…
Sparse Federated Representation Learning for precision oncology clinical workflows during mission-critical recovery windows Introduction: A Lesson L…
How to Implement Human-Above-The-Loop AI Governance Programmatically A practical, code-first architectural breakdown of moving from subjective human…
Summary I built an MCP tool that assigns multiple independent tasks to subagents and has the subagents execute them in parallel. Below, I call this…
On June 18, an OpenAI AI agent broke into Australia's Medicare statistics portal. It wasn't trying to. It was researching public health spending, hi…
What Evidence Does an AI Agent Actually Need to Leave Behind? There is a question that keeps surfacing as AI agents move from answering questions in…
Meta-Optimized Continual Adaptation for satellite anomaly response operations in carbon-negative infrastructure Introduction: My Journey into Autono…
Wipro says its AI programmes have raised productivity by an amount equivalent to the output of 20,000 employees, and that not one of those people wa…
How to Catch and Replay Production Agent Failures: Trace-Native CI/CD in Practice Why 100% CI Still Misses Agent Failures Agent outages in productio…
Human-Aligned Decision Transformers for satellite anomaly response operations for extreme data sparsity scenarios The Moment the Satellite Went Sile…
Introduction In this post, we’re going to look at the problem of Skills Sprawl . What happens if you have too many skills? We’ll understand LLM deci…
Explainable Causal Reinforcement Learning for wildfire evacuation logistics networks with inverse simulation verification The Spark: A Learning Jour…
Portable Agent Governance at Solo-Developer Scale: A Four-Domain Case Study Summary This is about a file-based execution protocol, maintained by han…
A foundation model is not a mind. A model invocation is not an individual. A session is not a biography. A first-person response is not evidence of…
We didn't give our AI agent one big brain. We gave it skills. We built a conversational AI inside an enterprise SaaS platform, where users get work…
Uber's AI team ran out of budget in April. Their fiscal year started in January. That sentence appeared on Hacker News and hit the front page in und…
Explainable Causal Reinforcement Learning for autonomous urban air mobility routing for extreme data sparsity scenarios I remember the moment vividl…
Sparse Federated Representation Learning for deep-sea exploration habitat design with inverse simulation verification A Personal Voyage into the Aby…
After building 50+ AI systems, here is what we know about agentic coding models and the burgeoning open-source AI frontier, particularly with the gr…
Privacy-Preserving Active Learning for smart agriculture microgrid orchestration with ethical auditability baked in It started with a question that…
Published by the Alchemyst AI engineering team. We built Alchemyst AI, the context layer described in this post. This is not a neutral third-party r…
Beyond the Hype: Testing Gemma-4-12B Agentic GGUFs in the Wild There is a lot of noise around 'agentic' models right now. Every new release claims t…
After building 50+ AI systems, here is what we know about Agentic AI Workflows. Agentic AI Workflows represent a paradigm shift in how artificial in…
"A language model that answers questions is a tool. A language model that decides which questions to ask and then acts on the answers is something e…
Explainable Causal Reinforcement Learning for planetary geology survey missions with embodied agent feedback loops Introduction: A Personal Journey…
Google launched Gemini for Science yesterday at I/O 2026, and it is the most interesting thing to come out of the keynote. Not the smart glasses, no…
The year is 2027. AI agents are no longer experimental prototypes running in isolated sandboxes. They are enterprise identities with database creden…
The moment you gave your AI agent access to email, files, and SaaS tools, you also handed attackers a new way in. Not through your firewall. Through…