So really I think "follows prioritised instructions" might be a better framing, where the system prompt is taken as the highest priority instruction?
AGENTS
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LangChain Academy Live Workshop in San Francisco August 19th
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Join us in San Francisco for LangChain Academy Live! Join LangChain Academy Instructor Lance Martin and fellow learners for an in-person workshop on August 19th at 4pm. We’ll walk through the Ambient Agents course, build an email agent together, answer your questions
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Digital Agents and Real-World Robots: Advancing AI Competence
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In the near term, I hope my research can help make digital agents more competent and helpful (e.g. make an automated travel planning or personal AI assistant possible). In the longer term, I hope my work plays some part in enabling real-world robots that can cook, clean, and do
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AI Agent Architect Newsletter: Bridging Technical and Real-World Impact
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The AI Agent Architect newsletter helps professionals bridge the gap between the technical aspects of AI Agents and real-world impact, without needing to code. Sign up here: https://
theagentarchitect.substack.com -
Sequential Thinking MCP Release Demystifies AI Agent Systems
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I am very happy with this release, I think it will demystify a lot about how these types of systems work. The Sequential Thinking MCP was huge for the space (literally any famous coding agent uses it), and I hope people can build on top of this as well.
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Scaling Parallel AI Agents Beyond Grok Heavy Limits
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In Grok Heavy, you are limited to a maximum of 4 agents. Here, you can run as many agents in parallel as you want (of course, it would get expensive and you may run into context length limitations on certain models). All you have to do is change the config file. In the config,
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Open-source framework simulates Grok Heavy AI functionality in terminal
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Introducing "Make it Heavy" a framework to simulate Grok Heavy functionality, fully open-source and running in your terminal.
— Pietro Schirano (@skirano) 15 juillet 2025
Use any model you want, thanks to @OpenRouterAI. 👇 pic.twitter.com/WVVz36kO1mIntroducing "Make it Heavy" a framework to simulate Grok Heavy functionality, fully open-source and running in your terminal. Use any model you want, thanks to @openrouter
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Agent Architecture: Self-Contained Implementation with Agentic Loop
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So how does it work? In the image, you can see the main architecture. At its core, we have the agent building block. The main characteristics are:
– Self-contained: Complete agent implementation with tool access – Agentic Loop: Continues working until task completion – Tool -
AGI Alpha: Humanity’s Next Giant Leap Forward Together
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[ We Choose To Ascend With AGI ] Like the Apollo Moon landing, "AGI Alpha" is our next giant leap – the greatest opportunity of our time. Together, we choose not merely to witness the dawn of AGI, but to ascend with it. Web : http://
agialphaagent.com #AGIALPHA