Days 8–11 worked the loop itself — its turn count, its route, its tool shape, its context weight. That closes the loop chapter. This issue opens a new one. The next three days work on the platform underneath the loop, so the same work costs less every time it…
Day 12 of Green, Efficient AI is live — Cache What Doesn't Change. Depending on the workload, forty to ninety-five percent of every AI prompt is the same as the last one — the system prompt, the tools, the document the agent is reading. The model reprocesses…
What happens when the intelligence your AI agents depend on suddenly changes? In the age of Agentic AI, organizations are increasingly building workflows around frontier models for reasoning, planning, memory, orchestration, and decision-making. But what if…
What happens when the intelligence your AI agents depend on suddenly changes? In the age of Agentic AI, organizations are increasingly building workflows around frontier models for reasoning, planning, memory, orchestration, and decision-making. But what if…
If you’re wondering, like I was, why Anthropic’s latest model Fable suddenly shows as unavailable… this may be why. Halfway through working on Fable, access suddenly disappeared. The initial assumption? A temporary issue. Capacity constraints. Service…
Day 8 made the loop the unit of work. Day 9 cut turns by planning the route. Day 10 cut turns by shaping the tool. Days 8–10 all worked on the same lever — fewer turns per task. This issue works on a different one. When the turns you do run carry more weight…
Day 11 of Green, Efficient AI is live — Reset the Loop When Context Decays. An agent runs for fifteen turns. Each turn costs more than the one before it. By the last few turns, a single turn can cost more than the first several combined. The questions did not…
Day 8 made the loop the unit of work and showed why each extra turn costs more than the one before it. Day 9 cut turns at the front by planning the route. This issue cuts turns at every step by changing what the agent calls when it gets there. Here is the…
Day 10 of Green, Efficient AI is live — Close the Loop with the Right Tool. Two agents, same customer question: "What's the status of my last order, and when will it arrive? Agent A has four clean tools — look up the customer, list orders, fetch shipping,…
What happens when organizations discover that their AI budget is disappearing faster than expected? In this episode of Agentic AI: The Future of Intelligence Systems, we take a deep dive into one of the biggest hidden challenges emerging in the age of Agentic…
🚨 The Token Shock — Why Companies Are Running Out of AI Budget 🎙️ Episode 91 of Agentic AI: The Future of Intelligent Systems is out now. Are we creating value… or simply generating activity? That may quietly become one of the biggest questions organizations…
What happens when organizations discover that their AI budget is disappearing faster than expected? In this episode of Agentic AI: The Future of Intelligence Systems , we take a deep dive into one of the biggest hidden challenges emerging in the age of…
Wait… the AI budget is already gone? This is becoming a real conversation inside organizations. Coding assistants. Meeting summaries. Research agents. Copilots. Multi-agent workflows. AI feels effortless… until someone sees the token bill. In early 2025, I…
Day 9 of Green, Efficient AI is live — Plan the Loop Before You Run It. Two agents, same task: reconcile a billing dispute across three systems. Same model. Same tools. Same access. One finishes in five turns. The other takes fourteen — and lands on the same…
Presenting the Green Software Foundation's expanded vision: green software now spans carbon, energy, water, and waste, across every layer of the technology stack — from silicon to screen. What the new definition means for practitioners and decision-makers.
When did innovation become something we buy instead of something we think our way through? The latest edition of Technology Bytes explores a question that feels increasingly relevant in the age of AI: Has innovation shifted from ingenuity to compute? For…
Innovation was not always expensive. For decades, some of humanity's greatest breakthroughs emerged from constraint, not abundance. Engineers built extraordinary systems under severe limits. Scientists solved difficult problems with imperfect tools. Builders…
Encouraging to see SCI for AI recognized in the G7 French Presidency’s work on measuring and monitoring the environmental impact of AI. What makes this recognition meaningful is that SCI for AI was shaped through deep collaboration across nearly 20…
Day 8 made the loop the unit of work and showed why it costs more than the calls inside it: every turn re-reads everything before it, so cost climbs faster than the number of turns the loop takes — closer to the square of the turn count than to a straight…
Day 3 was about right-sizing the model — picking the smallest technology that does the job. This is the same discipline, one level up, applied to an agent loop: a model that plans, calls a tool, reads the result, decides again, and keeps going — sometimes…
Most teams optimise what goes into an AI call. Few optimise what comes back — even though output tokens cost roughly three to five times what input tokens cost, across every major provider. The return trip of a call is where the meter runs fastest, and it is…
Day 7 of Green, Efficient AI is live — Shape the Answer Before You Ask. Most teams optimise what goes into an AI call. Few optimise what comes back. Output tokens cost roughly three to five times what input tokens cost, across every major provider. The return…
Day 8 of Green, Efficient AI is live — Right-Size the Agentic Loop. A team built an agent to triage bug reports. They expected it to cost about fourteen times a single call. It cost several times more than that. Nothing was broken. By turn twelve, the agent…
Most people know AI consumes electricity. But very few realize that AI may also have a water story. As Agentic AI evolves from answering questions to reasoning, planning, coordinating tools, and acting autonomously, an important question quietly emerges: What…
Artificial Intelligence often feels invisible. You ask a question. An answer appears. An agent completes a task. Everything feels instant, effortless, and digital. But beneath every intelligent interaction lies something physical. In this episode, we explore…