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…
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 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…
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…
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…
Most production prompts are not written. They are assembled. A user asks a question. Before the model sees anything, a retrieval layer runs — pulling rows from a database, passages from a document store, results from a search index, nodes from a knowledge…
Day 6 of Green, Efficient AI is live — The Cheapest Tokens Are the Ones You Never Retrieve. A team was sending their model an 8,600-token prompt to answer a question whose actual answer was one paragraph. Twenty passages retrieved. One useful. Nineteen paid…
Published on --- A surprising amount of AI waste hides inside calls you already decided to make. Most production prompts are two to ten times longer than necessary — packed with instructions the model already knows, examples that no longer matter, and context…
Day 5 of Green, Efficient AI is live — Spend Tokens Like They Cost Money. What if the largest pool of waste in your AI system is not the model you chose, or the calls you made, but the words you packed into every prompt? Most production prompts are two to ten…
The cheapest, fastest, lowest-carbon inference is the one the system never made. Providers already reduce some waste below the API line through prefix caching. But the biggest opportunity lives above it — in calls the application never needed to make in the…
Day 4 of Green, Efficient AI is live - Make the Call Count Smaller. The cheapest, fastest, lowest-carbon inference is the one the system never made. Most teams focus on model cost. Bigger model. Smaller model. Better prompt. But one of the biggest…
What happens when everyone has a personal AI agent? Or ten agents? Or perhaps… hundreds of invisible agents quietly working in the background? In this episode, we explore a future where intelligent systems don’t just answer questions — they plan, reason,…
What if the future of AI becomes too expensive to sustain? Not because models are costly. But because intelligence itself becomes something we consume continuously. We are moving toward a world where AI systems won’t just answer questions. They will quietly…
What happens when everyone has a personal AI agent? Or ten agents? Or perhaps… hundreds of invisible agents quietly working in the background? In this episode, we explore a future where intelligent systems don’t just answer questions — they plan, reason,…
The smallest technology that solves the task is the right one — sometimes a frontier LLM, often a small one, sometimes a classical model, and sometimes no AI at all. Once you choose by task instead of by default, every cost on the bill moves with you. A…