How ChatData Sync works
You already know what you need to remember. The hard part is giving your assistant a reliable place to store it. ChatData Sync turns one plain-English description into private structured memory, so ChatGPT or Claude can log, retrieve, and summarize real records across conversations.
Try it freeNo credit card required. Preview before you sign in.
Watch a 1-step setup in ChatGPT
See exactly how a plain-English description becomes a private tracker your assistant can read and update — then how to connect it to ChatGPT in one paste.
Open ChatData Sync in ChatGPT →
The problem ChatData Sync solves
AI assistants are powerful, but they still need a trustworthy memory layer for real operations. That means:
- Schema design — what tables, fields, and relationships should exist?
- Permissions — who can read or write which records?
- Workflow state — how does a job move from open to complete to invoiced?
- Assistant actions — what can the assistant actually do when a user talks to it?
- Deployment — how does any of this run reliably without a backend team?
ChatData Sync generates all of it from the description you provide. You never touch a database, write an API, or configure a server.
Three steps from idea to working assistant
Describe what you want to track
Write a plain-English description of the workflow. "Track customers, vehicles, repair orders, parts used, estimates, and invoice status" is enough. You do not need to know field types, indexes, or data modeling patterns. ChatData Sync infers the structure from your intent.
Review the generated schema — before anything is created
ChatData Sync shows you every table, field, relationship, and role it will create. You see the full data model before a single record is written. Adjust field names, remove tables you do not need, or approve as-is. Your tracking space is live the moment you confirm.
Connect your assistant and start talking
ChatData Sync generates a GPT Action connection string and an MCP endpoint for your tracking space. Each includes a scoped security token with strict tenant boundaries. Paste once into your assistant. From that point, log records, retrieve entries, and ask summary questions through conversation — no forms, no spreadsheets.
What gets generated for you
When you approve a schema, ChatData Sync creates and manages:
- Data model (tables and fields)Structured from your plain-English description
- RelationshipsCustomers → Vehicles → Repair Orders, etc.
- Role-based access controlOwner access and scoped assistant tokens
- Assistant action endpointsCreate, read, update, list, and summarize
- GPT Action connection stringPaste once into any ChatGPT custom GPT
- MCP endpointCompatible with Claude and other MCP assistants
- OpenAPI contractMachine-readable schema aligned to your data model
- Tenant isolationYour data is never shared with other users' spaces
Works with your assistant of choice
ChatGPT
Paste the GPT Action string into your custom GPT settings. Ready in under two minutes.
Claude
Connect via the MCP endpoint. Works with Claude.ai and the API.
See it with a real workflow
Everyday personal life
Recipes, car maintenance, home projects, hobbies, and health habits — your own private place to keep it, with your assistant doing the logging.
Auto repair shop
Customers, vehicles, repair orders, inspections, parts, estimates, approvals, and technician notes — generated from one description.
Service businesses
Pet sitters, tutors, handymen, and freelancers — log clients, jobs, sessions, and invoices through conversation.
Try it free — no credit card required
Describe your workflow, review the generated schema, and connect your assistant. The Free plan includes one tracking space and 200 assistant actions per month.
Describe your first workflow