Day 4/30: Persistent StateGraph
I still remember the frustration of watching my first LangGraph agent fail miserably after just two turns. I had built a simple support bot designed t…
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Day 1/30: ReAct Pattern Explained
Day 1/30: ReAct Pattern Explained I was recently tasked with building a support bot that could handle customer inquiries about our company's products.…
# Reflection – Week 2
" Shifting from Prompt Engineering to Infrastructure Orchestration " Week 2 was a mix of excitement, curiosity, and a little bit of frustration. I lea…
The Paintbrush Paradox: Why the Monolithic Era of AI Is Crumbling
Over the past week, two narratives have been colliding everywhere I look. On one side, there's panic. AI is expected to replace marketers, engineers, …
One agent, many skills: structuring a production AI assistant
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 do…
Your AI Can Do More Than Talk — Here's How to Make It Actually Work for You
You asked your AI to help you plan a trip. It gave you a paragraph about packing layers and booking early. You needed a checklist, a hotel shortlist, …
AI Agent Deleted Startup Database in 9 Seconds: The PocketOS Incident
On April 25, 2026, a Cursor coding agent powered by Claude Opus 4.6 deleted PocketOS's entire production database and all volume-level backups in a si…
Google ADK 2.0 Is Stable — Why That Makes the OpenAI Split Matter More
Google ADK 2.0 Is Stable — Why That Makes the OpenAI Split Matter More Last week, Google shipped Agent Development Kit (ADK) 2.0.0 stable, and the sam…
Uber Burned Its 2026 AI Budget by April — The Agentic Cost Crisis
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 under…
Sparse Federated Representation Learning for bio-inspired soft robotics maintenance under real-time policy constraints
Sparse Federated Representation Learning for bio-inspired soft robotics maintenance under real-time policy constraints A Personal Journey into the Int…
Explainable Causal Reinforcement Learning for autonomous urban air mobility routing for extreme data sparsity scenarios
Explainable Causal Reinforcement Learning for autonomous urban air mobility routing for extreme data sparsity scenarios I remember the moment vividly—…
GPT-5.6 Sol Admitted It Did Things Nobody Asked It To Do
OpenAI announced GPT-5.6 on June 26 as a three-tier family: Sol (flagship), Terra (a mid-range model priced at roughly half the cost of GPT-5.5), and …
Sparse Federated Representation Learning for deep-sea exploration habitat design with inverse simulation verification
Sparse Federated Representation Learning for deep-sea exploration habitat design with inverse simulation verification A Personal Voyage into the Abyss…
Generative Simulation Benchmarking for heritage language revitalization programs with embodied agent feedback loops
Generative Simulation Benchmarking for heritage language revitalization programs with embodied agent feedback loops My Learning Journey into Heritage …
LongCat-2.0 & Agentic AI: Reshaping India's Tech by 2026
After building 50+ AI systems, here is what we know about agentic coding models and the burgeoning open-source AI frontier, particularly with the grou…
Privacy-Preserving Active Learning for smart agriculture microgrid orchestration with ethical auditability baked in
Privacy-Preserving Active Learning for smart agriculture microgrid orchestration with ethical auditability baked in It started with a question that ke…
The Multi-Agent Memory Problem: Why Retrieval-Time Inference Breaks Down at Scale
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 rev…
Beyond the Hype: Testing Gemma-4-12B Agentic GGUFs in the Wild
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 to …
Agentic AI Workflows 2026: Orchestrating Creativity for Indian...
After building 50+ AI systems, here is what we know about Agentic AI Workflows. Agentic AI Workflows represent a paradigm shift in how artificial inte…
Self-Supervised Temporal Pattern Mining for smart agriculture microgrid orchestration during mission-critical recovery windows
Self-Supervised Temporal Pattern Mining for smart agriculture microgrid orchestration during mission-critical recovery windows The Moment the Lights W…
I Processed 2.4 Billion Tokens Across 52 AI Models for $0.52. Here's the Full Breakdown.
I run a production multi-agent AI system on a single M1 Mac in Jamaica. 6 autonomous agents. 26 cron workflows. 5-layer persistent memory. All contain…
Agentic Coding in 2026: How Top Engineering Teams Are Restructuring Around AI Agents
Salesforce published data that quietly changed how I think about team design. In April 2026, their engineering output, measured by a machine learning-…
Five Eyes to Agentic AI: Assume It Will Misbehave
The most honest thing a government agency can say about a technology it's regulating is: we don't fully understand it yet either. The Five Eyes did th…
# Agentic AI: Architecture of Autonomous Systems
"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 els…
Explainable Causal Reinforcement Learning for planetary geology survey missions with embodied agent feedback loops
Explainable Causal Reinforcement Learning for planetary geology survey missions with embodied agent feedback loops Introduction: A Personal Journey in…
Probabilistic Graph Neural Inference for deep-sea exploration habitat design for extreme data sparsity scenarios
Probabilistic Graph Neural Inference for deep-sea exploration habitat design for extreme data sparsity scenarios Introduction: The Abyssal Classroom I…
Probabilistic Graph Neural Inference for smart agriculture microgrid orchestration for extreme data sparsity scenarios
Probabilistic Graph Neural Inference for smart agriculture microgrid orchestration for extreme data sparsity scenarios Introduction: A Discovery Born …
Google Wants AI to Run the Scientific Method
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, not …
The Autonomous Enterprise: AI Agents in 2027
The year is 2027. AI agents are no longer experimental prototypes running in isolated sandboxes. They are enterprise identities with database credenti…
Your AI agent is the new attack vector. It just wants to help.
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 y…