9. MCPEval MCPEval is an open-source framework that automates end-to-end evaluation of LLM agents using a standardized Model Context Protocol, eliminating manual benchmarking.
AGENTS
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Routine: Structured Planning Format for LLM Agent Tool-Calling
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4. Structural Planning for LLM Agents This paper introduces Routine, a structured planning format designed to improve the stability and accuracy of LLM agents executing multi-step tool-calling tasks in enterprise settings.
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Survey of Continual Reinforcement Learning Advances
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A Survey of Continual Reinforcement Learning Pan et al.: https://
arxiv.org/abs/2506.21872 #ArtificialIntelligence #DeepLearning #MachineLearning -
Share insights on LLMs AI agents and machine learning
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If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
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WordPress categories related to AI topics
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Admittedly not the best example—just the first that popped up in search. Here’s one from less than a month ago, so presumably using 4o or better:
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Building Effective AI Agents in 2025 Without Complex Frameworks
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That's how you build effective AI agents in 2025. Not with complex frameworks that make everything harder than it needs to be.
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AI Agents as Workflows: DAGs and Code-First Architecture
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AI agents are simply workflows – directed acyclic graphs (DAGs) if you're being precise, or graphs if you include loops. Most steps in these workflows should be regular code – not LLM calls.
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Seven Core Building Blocks to Solve Business Problems
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You only need about seven core building blocks to solve almost any business problem with AI. 1. Intelligence (LLM)
2. Memory
3. Tools
4. Validation
5. Control
6. Recovery
7. Feedback -
Strategic LLM Integration Over Full Automation Frameworks
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They're mostly deterministic software with strategic LLM calls placed exactly where they add value. The problem is that most frameworks push the "give an LLM some tools and let it figure everything out" approach.
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Simple Custom AI Blocks Beat Agent Frameworks
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Most successful AI applications I've seen are built with simple, custom building blocks, not agent frameworks. This is because most effective "AI agents" aren't actually that agentic at all.