I am looking for a senior No-Code/AI Developer to build a compliance dashboard on Bubble.io. I have an existing Notion Database containing 20+ years of expert compliance prompts (The TRACE Vault).
Project Scope:
Data Ingestion: Build a Bubble interface where users upload a Grant NOFO (PDF) or Transaction List (CSV).
Identifies the Federal Agency and CFDA number from the upload.
Searches my Notion Database for the relevant ‘TRACE’ logic prompt.
Uses OpenAI Search/Perplexity API to pull the latest 2025/2026 OMB Uniform Guidance and Agency-Specific Supplements.
AI Execution: Combine the Notion prompt, the live regulations, and the client data into an OpenAI (GPT-4o) call.
Dashboard: Return a structured JSON response to a sleek, dark-mode Bubble dashboard that flags risks and cites specific regulatory authority (e.g., 2 CFR 200).
Timeline: MVP must be live and tested by May 20th. Requirements: Proven experience with Bubble API Connector, Make.com (formerly Integromat), and OpenAI RAG/Search integrations.
Hey @fedgrantsolutions , You’re building a compliance intelligence system that takes uploaded grant/transaction data, matches it with your TRACE prompt library, enriches it with up-to-date regulations, and returns structured, explainable risk outputs in a Bubble dashboard.
That’s exactly the kind of AI + automation pipeline I build.
I’ve worked with Bubble (API Connector), Make.com logic layers, and OpenAI for structured JSON outputs. I’d structure this as a clean pipeline: ingestion → classification (agency/CFDA) → Notion retrieval → live regulation enrichment → GPT-4o execution → structured response to Bubble.
Given your May 20 MVP deadline, this is very achievable with a focused scope.
I’m Aitizaz, a No-Code and AI developer with solid experience in Bubble.io, Make.com, and OpenAI integrations. Your compliance dashboard project is right in my wheelhouse and I’m confident I can deliver the MVP by May 20th.
Here is how I would approach the build:
Data Ingestion: Build a clean Bubble interface for PDF and CSV uploads with proper file handling.
Make.com Logic Engine: Set up a scenario to extract the Federal Agency and CFDA number, query your Notion TRACE Vault for the relevant prompt, and fetch live 2025/2026 OMB guidance via OpenAI Search or Perplexity API.
AI Execution: Combine the Notion prompt, live regulations, and client data into a structured GPT-4o call.
Dashboard: Return a clean JSON response to a dark-mode Bubble dashboard that flags risks and cites specific regulatory authority like 2 CFR 200.
I have proven experience with Bubble API Connector, Make.com workflows, Notion API, and OpenAI RAG integrations.
