Building with AI,
explained.
AI concept docs on building with ai: clear explanations of what each is, how it works, the trade-offs, and the pitfalls.
Retrieval-augmented generation (RAG)
Giving an LLM relevant information at query time by retrieving it from your own data, so answers are grounded and current.
Fine-tuning
Further training a model on your own examples to change its behavior, style, or format, rather than its knowledge.
AI agents
Systems where an LLM plans and takes actions through tools in a loop, rather than producing a single response.
Prompting
How you instruct a model. Clear role, context, output spec, examples, and constraints get dramatically better results.
Multi-Agent Systems (MAS)
Multi-Agent Systems coordinate multiple specialized AI agents to collaboratively perform complex, large-scale tasks, enabling higher-value automation across business operations.
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