The Case for Simpler AI Agents: Why Fewer Tools Perform Better
The best AI agents might be the ones with the fewest tools. Recent case studies show a consistent pattern: agents stripped down to basic primitives, bash, file access, a single execution tool, outperform their over-engineered predecessors. Higher success rates, fewer tokens, faster responses. Something is shifting in how we build agents. The instinct to over-engineer When teams […]
Open Innovation AI’s Top Blogs of 2025
This roundup highlights Open Innovation AI’s top blogs of 2025, reflecting the topics our readers engaged with most, from sovereign AI to advanced AI agent architectures.
How to Build AI Agents with Dynamic Tool Routing
Learn how dynamic tool routing enables AI agents to intelligently select the best tools for each task, boosting accuracy, speed, and adaptability. Explore real-world use cases, core design strategies, and practical tips for building context-aware AI systems that evolve with your business needs.
Sovereign AI Agents: Autonomy with Control
Moving from AI models to autonomous agents raises new challenges for data control, compliance, and orchestration. See how a sovereignty-first approach keeps AI powerful and accountable.
Decoding LLM Inference Math: Your Step-by-Step Guide
Understanding the maths behind the LLM inference is a crucial knowledge that everyone working in the LLMOPS should know. The high price rates for the GPUs used in the LLM inference puts the GPU utilization optimization in the top of our priorities list, so I’ll go through the process of memory utilization for the LLM […]
