Each example shows a real workflow built on ChatData Sync — the plain-English description, the generated data model, and the assistant conversation patterns that follow.
Track customers, vehicles, repair orders, inspections, parts, estimates, approvals, and technician notes — all generated from one description and connected to an AI assistant.
See the example → Solo & small teamsPet sitters, tutors, handymen, and freelancers log clients, sessions, jobs, and invoices through conversation. No spreadsheets, no manual entry.
See the example → ChatGPTChatGPT forgets when the chat ends. ChatData Sync gives it a persistent, private place to log, retrieve, and summarize your records using a GPT Action.
See the setup → ClaudeEvery tracking space exposes an MCP endpoint. Claude and other MCP-compatible assistants connect with a scoped security token — no code required.
See the integration → GeminiUse the generated OpenAPI contract to register your tracker as a Gemini tool. Your assistant can read and write through the same endpoints used by other clients.
See the integration → CompareHow ChatData Sync differs from spreadsheet-style tools for AI-assistant workflows — schema generation, scoped tokens, and conversational access.
Read the comparison →Describe it in plain English and ChatData Sync generates the data model, permissions, and assistant actions. The Free plan includes one tracking space and 200 assistant actions per month.
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