MetaSwitch · verb
MetaSwitch
MetaSwitch (verb) — to re-express a system in a new form, stack, or language without losing what made it work — same logic, same relationships, same rules, new home.
Usage: "We metaswitched our org into Markdown and had an agent stand it up in Postgres by Friday."
Your Salesforce org is years of decisions. Every object, field, and validation rule is a small agreement about how your business actually works. But that knowledge is trapped — it only speaks Salesforce, only lives in Salesforce, and only Salesforce can read it. You can't easily test it in an AI tool, rebuild it somewhere cheaper, or hand it to an engineer who's never logged in.
There wasn't a word for setting it free. So we made one.
To MetaSwitch is to lift the essence of your org out of the platform and write it down in a form anything can read: clean, precise Markdown — grounded only in what's really there. Not a screenshot of your org. The blueprint of it.
Hand that blueprint to any AI coding agent and your org can live anywhere — a new stack, a new language, a throwaway sandbox to experiment in. Same DNA, new body. That's the switch: your metadata, freed.
Same DNA, new body.
What MetaSwitch does
Connect an org and MetaSwitch introspects its data model — objects, fields, relationships, picklists, formulas, validation rules — and writes it as a Markdown tree with a "Suggested Rebuild Order." Grounded only in your real metadata; nothing invented.
What you do with it
Drop the Markdown into Claude, Cursor, or any coding agent and have it rebuild, port, or test your CRM — on a different stack or in another language. The spec is yours to take anywhere.
Core CRM + custom objects, field tables, one overview. Fast and cheap.
All in-scope objects with picklists, formulas, record types, validation rules, and per-object narratives.
Everything in Medium plus field descriptions and rebuild-oriented narratives (types, constraints, suggested schema) for a coding agent.
Or tailor it yourself.
To turn its data model into AI-ready Markdown — a precise spec a coding agent can use to rebuild it on another stack, with the same logic, relationships, and rules.
Yes. MetaSwitch reads any connected org and exports its data model; detail levels control how much is captured.
The structure (fields, relationships, rules) is extracted deterministically; an LLM adds readable narratives on top, governed by a budget and grounded only in your real metadata.
That's the intent: the spec is written stack-agnostically (types, foreign keys, enums, constraints, a suggested rebuild order) for a coding agent. You run the agent; Syntharil produces the spec.
No. It describes only what's in the org's metadata; gaps are noted, never fabricated.
Test your org's logic in any AI environment, rebuild it in another language/stack, port off Salesforce, or onboard engineers and agents with a current spec.
Dig deeper into documenting Salesforce for AI on the Syntharil blog.