Agentic AI7 min read
How AI Agents Actually Work
Strip away the hype and an agent is a loop: observe, reason, act, check. Here is what that loop looks like in a production system.
Insights
Strip away the hype and an agent is a loop: observe, reason, act, check. Here is what that loop looks like in a production system.
Retrieval gives a model knowledge. Fine-tuning gives it behaviour. Most teams need the first long before the second.
A demo works once. A workflow works every day. The difference is evaluation, guardrails and observability.
Automating a broken process just produces broken results faster. Start with the process, then add the AI.
Serving, caching, fallbacks and cost control — the infrastructure decisions that decide whether your LLM feature survives real traffic.