MediaOps: an agentic content engine
Multi-step agents that produce content, running in production.
Agenticcontent engine in production
The challenge
Automating real content production with AI means going beyond a single prompt — orchestrating multi-step agents that stay reliable, on-brand, and affordable at volume.
What we did
- Designed the agent/workflow architecture for reliability and cost, not hype
- Grounded generation with guardrails and an evaluation loop
- Built the production system around it — monitoring and cost controls
Outcome
- An agentic content engine running in production
- Proof we ship real multi-step agents, not demos
- Cost- and quality-controlled AI at volume
Stack
LLMstool-callingRAGNestJSPostgreSQLPython
Services this used
Related reading
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