Hey everyone 👋 Over the past few weeks I built and deployed an AI reporting system for a digital marketing agency client. They use it now, and they’ve already asked for a second experiment platform to be added. What it does: One plain-language prompt pulls A/B test results from GrowthBook, writes a verdict and builds a client-ready deck in Google Slides, then saves it to Drive. There’s also a chat interface for follow-up questions about an experiment. Stack: FastAPI, Make.com, Groq, Google Cloud Run, and Postgres for per-thread conversation memory. 3 things I learned: 1. I didn’t use an autonomous agent for the core flow. The tool calls run in a fixed order and the LLM only writes up the results. For client-facing reports, I wanted predictable output over clever behavior. The “agentic” part is limited to the chat follow-ups. 2. Pull data from the source, don’t paste it. Numbers come from the API, so nothing gets mistyped or misread before a client sees it. That’s the real answer to “why not just use ChatGPT?” 3. Hybrid beats pure no-code or pure code. Make.com handles the glue and the delivery, and custom code handles the parts that need reliability and fallbacks. What’s next: adding Convert as a second source, then a demo video. Question for the group: I’m now looking to sell this to other digital marketing agencies, and I’d love your advice from your own experience. My plan so far: a demo video on LinkedIn, then personalized DMs to agency owners and heads of growth, then a free 15-minute audit call. I’m targeting agencies of roughly 5-30 people who run experiments for clients. For those of you who’ve sold to agencies: - What worked best for getting the first few conversations? - Do agencies buy a finished product, or a custom build per client? - How did you price it, a one-time fee, a monthly retainer, or both?