# Adam Belay

Published articles for Adam Belay.

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## Improving the speed and energy-efficiency of AI agents

DevFeed: [Improving the speed and energy-efficiency of AI agents](<https://devfeed.tech/articles/improving-the-speed-and-energy-efficiency-of-ai-agents-37959.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/improving-ai-agent-speed-and-energy-efficiency-0625>)

Author: Adam Zewe | MIT News

Published: 2026-06-25T04:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [agentic workflows](<https://devfeed.tech/topics/agentic-workflows.md>), [Loop Engineering](<https://devfeed.tech/topics/loop-engineering.md>), [Green Software](<https://devfeed.tech/topics/green-software.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Microsoft](<https://devfeed.tech/topics/microsoft.md>), [microsoft-azure](<https://devfeed.tech/topics/microsoft-azure.md>)

Tags: [adam-belay](<https://devfeed.tech/tags/adam-belay.md>), [agentic-workflows](<https://devfeed.tech/tags/agentic-workflows.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [computer-science-and-artificial-intelligence-laboratory-csail](<https://devfeed.tech/tags/computer-science-and-artificial-intelligence-laboratory-csail.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [data](<https://devfeed.tech/tags/data.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [defense-advanced-research-projects-agency-darpa](<https://devfeed.tech/tags/defense-advanced-research-projects-agency-darpa.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [electrical-engineering-and-computer-science-eecs](<https://devfeed.tech/tags/electrical-engineering-and-computer-science-eecs.md>), [electronics](<https://devfeed.tech/tags/electronics.md>), [energy](<https://devfeed.tech/tags/energy.md>), [energy-efficiency](<https://devfeed.tech/tags/energy-efficiency.md>), [gohar-chaudhry](<https://devfeed.tech/tags/gohar-chaudhry.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [microsoft-azure](<https://devfeed.tech/tags/microsoft-azure.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [murakkab](<https://devfeed.tech/tags/murakkab.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [software](<https://devfeed.tech/tags/software.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [sustainable-computing](<https://devfeed.tech/tags/sustainable-computing.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

### AI overview

MIT and Microsoft researchers developed Murakkab, a system that automatically designs and deploys agentic workflows by selecting models, tools, hardware configurations, and computational resources according to user priorities. Tests found that it reduced computational requirements, energy use, and costs without reducing performance.

### Source excerpt

A new system, known as Murakkab, optimizes the design and deployment of multistep workflows that power AI applications.