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Applied this logic in one my current ongoing AI agent app - We can create a framework around it.
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Pipeline view of an agentic fundraising prototype for an AI client built in Framer. Rendered in Ultramock.
I had Claude build out ~800 rows (~50 columns) of dummy contact data in supabase with varying degrees of lead enrichment and match scoring to simulate a live DB connection.
Really enjoying using Claude x Framer. Its truly a superpower for building simulation engines like this.
800 rows of dummy data for a proto, madness
Currently building autonomous AI systems that actually survive production — not just the demo.
Most AI projects work beautifully in a controlled test and then quietly fall apart on real data, edge cases, and concurrency. I focus on the unglamorous engineering that closes that gap: data validation pipelines, boundary checks, error handling, and knowing exactly where deterministic logic should own the decision instead of the model.
Recent work includes agentic workflows built with Python and FastAPI, an LLM reasoning layer for the genuinely ambiguous decisions, and automation orchestrated through Make with MCP. My background is technical support and operations, which means I design for the failure case first — I've spent years watching systems break in ways their builders never anticipated.
If you have an AI pilot that impressed everyone in the demo and then stalled on the way to something dependable, that gap is exactly what I build for.
Open to Applied AI / AI automation projects.
Keep it up!
Most "AI chatbots" are a liability: they hallucinate answers and can't actually do anything.
So when I built Luísa, my AI customer service agent, I set three rules:
She only answers from the business's real data (RAG), no improvising.
She can actually do things: check the calendar, book the meeting, update the CRM.
Anything critical waits for human approval. Automation without a kill switch is a time bomb.
She's running in production right now, you can talk to her here: https://chat.dmaai.com.br
Built with Claude + n8n. Ask me anything about the architecture, happy to share.
#AIAutomation #whatsappbot
