Illustration Part 3: Cost & Reliability
Tool-calling costs 2.3x more and fails 20% of the time. Here's the math.
Technical articles, tutorials, and insights about building AI applications with OpenSymbolicAI.
Tool-calling costs 2.3x more and fails 20% of the time. Here's the math.
Tool-calling re-reads everything on every call. Here's exactly where the tokens go.
We gave a tool-calling agent detailed instructions. It ignored them. Here's why.
A visual comparison of token usage between ReAct (Reasoning+Acting) and PlanAndExecute approaches.
Why teaching agents through executable examples beats massive prompts with chain-of-thought reasoning, illustrated through a RAG agent implementation.
A hands-on walkthrough showing how primitives and decompositions create the compounding improvement loop that prompt engineering lacks.
Why language models keep getting better while AI agents remain stubbornly brittle, and how to fix it with structural separation of concerns.
Build your first AI agent in 5 minutes using OpenSymbolicAI.
How do we build non-deterministic intelligence on top of a deterministic foundation, without compromising either?