Case study · creator operations · verified replay
A creator campaign plan that cannot spend or send on its own.
Five bounded LangGraph nodes turn a campaign brief into a ranked, budgeted creator proposal while keeping evidence, trace state, and the final decision with a campaign owner.
Creator Campaign Command demonstrates a controlled agent route for brief normalization, creator fit, compliance, budget allocation, and approval without connecting client data, outreach, contracts, or advertising spend.
Case-study figures describe this documented engagement and are not forecasts or guarantees.
The operating constraint
Creator and talent teams often move from brief to outreach through subjective selection, fragmented spreadsheets, and unclear approval ownership. The proof needed a useful decision record without exposing creator or client data.
The system Aixcel designed
Aixcel built a typed FastAPI and LangGraph system with idempotent runs, deterministic creator scoring, a compliance threshold, hard budget allocation, ordered traces, evidence hashes, public quotas, and a human approval state.
The documented result
The live replay ranks four synthetic creators, selects an eligible roster inside budget, exposes five agent traces, and records approval without executing any external action. Python tests, GitHub Actions, Postman assertions, and desktop and 390-pixel browser journeys pass.
System components
Python 3.12, LangGraph, LangChain Core, FastAPI, Pydantic, REST/OpenAPI, Postman, Docker, GitHub Actions, Vercel
How to interpret this evidence.
Names and sensitive details are withheld. Metrics retain their stated meaning and evidence label. A scope count is not converted into an outcome, and no engagement result is presented as a universal benchmark.
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