u/EmuBig3618

So, I have this idea to create a Machine Learning playground where people can train their ML models without needing prior ML knowledge. The platform would provide augmented datasets and allow users to test the quality of their own datasets, while still giving them the freedom to choose what they want to build.

If someone needs a dataset on a specific topic, AI agents on the platform can generate or fetch it. Users can then directly train models on that data within the same environment.

Core features would include dataset cleaning, quality checking, and easy model training all in one place.

For the UI/UX, I’m thinking of something visual and modular, similar to tools like node-based workflows (like n8n or ComfyUI), so users can build pipelines intuitively without heavy coding.

So, I have this idea to create a Machine Learning playground where people can train their ML models without needing prior ML knowledge. The platform would provide augmented datasets and allow users to test the quality of their own datasets, while still giving them the freedom to choose what they want to build.

If someone needs a dataset on a specific topic, AI agents on the platform can generate or fetch it. Users can then directly train models on that data within the same environment.

Core features would include dataset cleaning, quality checking, and easy model training — all in one place.

For the UI/UX, I’m thinking of something visual and modular, similar to tools like node-based workflows (like n8n or ComfyUI), so users can build pipelines intuitively without heavy coding.

A few friends and I kept noticing the same thing working around real estate brokers: they're managing dozens of active clients entirely through WhatsApp threads, voice notes, and mental bookkeeping. Deals fall through not because brokers aren't good but because nothing is organised.

We couldn't find a tool built specifically for this workflow, so we started building one. It's called Escrows AI, and we've been quietly shipping features over the past few months.

Here's where we are right now:

• Client Management — track intent (hot/warm/cold) and deal stage (lead → engaged → under contract → closed)
• Inventory — property listings with documents, images, and filters to match listings to clients quickly
• Follow-up Sequences — automated reminders so no client slips through
• Smart Call Logs (coming soon) — automatically transcribes calls and meetings across phone, WhatsApp, and in-app — so every conversation is searchable and tied to the right client
• Dashboard — daily summary, meetings, and tasks in one place

We're also working on a voice/chat AI agent that lets brokers control the whole platform conversationally. It's still rough, but it's coming along.

Honest question for anyone in real estate or adjacent spaces: What's the one thing missing that would make this genuinely useful?

Happy to give access to anyone who wants to poke around