500 Skills, Zero Fine-Tuning: LinkedIn's Playbook for AI Agents — Ajay Prakash, LinkedIn
Source
youtube.com
Author
AI Engineer
Date
Context
LinkedIn's coding-AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → system makes a large tool collection available through a small interface: discover a relevant tool, inspect its required inputs, then execute it. The conference presentation describes this approach to avoiding a context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition → crowded with every available tool.
The company's engineering account explains that playbooks also appear as callable tools rather than only prompt templates. They supply the steps and references needed for internal workflows, so agents can retrieve organizational instructions when needed. That article has its own earlier Intel entry.
Terms in this piece · Glossary
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
MCP — The Model Context Protocol — an open standard that lets any AI assistant plug into any tool or data source without custom integration code.
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