How the platform is built: budgets, isolation, idempotency and agent-grade APIs.
RAG retrieves knowledge at answer time; fine-tuning trains it into the weights - what each changes, the cost and freshness trade-offs, and when each one wins.
Retrieval-Augmented Generation grounds LLM answers in retrieved documents - the definition, the pipeline step by step, and why RAG citations matter to marketers.
Reserve-then-settle ledgers, per-run ceilings, graceful degradation and idempotency - the four mechanics that make autonomy financially safe.
Budget caps are only real if something is checked before the money leaves. Inside the ledger and the degradation ladder.
The hosted MCP server: one config entry, the whole data catalog, the same credit guardrails.
Open a workspace and the playbook library is waiting - describe the outcome and the agents carry it end to end, on your plan's monthly credits.