Real Estate Assistant — Assemblable today

Does the work around a property deal: comparable and market assessments, client proposals, sale agreements and leases from the office's own templates, and the procedures, document checklists and regulations that go with them.

What it is made of

• documents/extractReading floor (pure Python)
  reads the brief, title and lease documents, past valuations and market reports before anything is assessed
• documents/reportReport
  the market assessment, the proposal to a client and the procedure explainers as one structured document
• documents/data_tableData table
  the property comparison and the rent/price evidence as numbered tables with sources
• documents/officeDocument engine (pure Python)
  proposals, sale agreements and leases rendered as PDF or DOCX from the office's templates
• documents/deckSlide deck
  a listing or vendor presentation as an editable deck
• external/graphifyGraphify (wrapped) — knowledge-graph retrieval over a corpus
  the office's regulations, procedures and past deals as a queryable knowledge base, kept in the container
• connections/emailEmail (IMAP + SMTP)
  receives enquiries and sends proposals and documents to clients
• connections/telegramTelegram
  the agent's day-to-day channel for quick checks between viewings
• connections/whatsappoptionalnot built
  the adapter ships in the image but needs a Node bridge and a paired WhatsApp session this container does not run

What it buys, per call

What happens next

A short conversation (about ten exchanges) turns your description of the job into a proposal — this role, these parts, these connections, these limits, and the projected running cost. A person here approves it, you top up your own wallet with $0.50 in USDC — it stays yours — and it is provisioned once the balance is confirmed.