Beontheloop

Beontheloop offers an interactive resource called The Deck, which aggregates insights and practical experiments related to agentic loops and long-running agents in AI workflows. The material explains core concepts such as how large language models (LLMs) function as stateless text-in, text-out systems, and how agents are constructed as loops that append each interaction to an array serving as the context window. This context window accumulates system prompts, tool definitions, user messages, assistant responses, and tool results, which are all sent with each API call.

The Deck details the architecture of agentic systems, emphasizing the distinction between the agent loop and the agent harness. The harness is responsible for managing context, defining available tools, handling session persistence, and determining when to stop the loop. It also covers strategies for effective context management, such as minimizing static fills, addressing context rot, offloading data to disk, utilizing sub-agents for specific tasks, and splitting large tasks across multiple sessions. The resource illustrates these concepts with annotated code snippets and visual breakdowns of context window allocation, highlighting the importance of keeping essential information within the model's "smart zone" for optimal reasoning.

Beontheloop is intended for engineers and practitioners interested in understanding and building agentic workflows with LLMs. The content references practical challenges like instruction ceilings, context decay, and the need for custom harness layers to wrap agent frameworks such as those provided by Anthropic. It provides examples of project directory structures, including custom skills and documentation files that agents can access during each session, supporting the development of long-running and adaptable agentic systems.

It positions Beontheloop as an educational and conceptual guide within the class of agent-autonomous tools, focusing on the fundamentals and workflow design for AI agents.