#agents
5 papers
-
inspiration
The Protocol Is the Integration
Before MCP, every AI application that needed external tools built its own adapter. MCP replaces M×N custom integrations with a single standard — and the standard is not an API, it is a protocol. That distinction determines what you can build and how it composes.
-
inspiration
The Schema Is the Spec
JSON was designed for machine parsing, not language model interpretation. The tool schema you write is not a formality — it is the performance specification for function calling. A badly designed schema does not produce an error. It produces silent accuracy degradation, and the model takes the blame.
-
whitepaper
The While Loop Is the Easy Part: Engineering Agents for Production
Every LLM agent converges on the same structure: call the model, execute tools, repeat. That loop is not where the engineering lives. The hard parts are termination conditions, context budget management, error classification, tool safety rails, and observability infrastructure — and most agents that fail in production fail there, not in the model.
-
inspiration
The Tool Is Not the Model
A language model does not execute functions. It describes them. The execution lives elsewhere — in your code, your runtime, your responsibility.
-
inspiration
The Model Is Not the Agent
An LLM does not call tools. It requests them. The loop is the agent — and most broken agents are broken loops, not broken models.