Pick a goal — see the tool that owns it, and open it in a click.
AirTight keeps your data inside your walls. Markdown-first keeps your content in a format you'll never be locked out of — the same plain text your team's docs already use, and the format the AI engine reads most fluently. One format, end to end, with nothing lost in conversion.
It never goes in. Your work is plain Markdown plus a small open manifest — readable with no LamFia installed at all.
Write the report once; send the board a PDF, legal a Word file, the all-hands a deck. Change the content once and every export follows.
Flowcharts are written as text inside the document — they diff line by line, render live, and travel with the file as an image on export.
The open LGMD standard adds typed diagrams, attached assets, and a tamper-evident record on top of Markdown — every layer still opens as readable text.
The tools aren't islands. Because they share one foundation, a question can become a draft, then a long document — all governed, and all landing on a single tamper-evident record. No copies, no re-keying.
Answer a question from your own approved documents, with the source shown.
→Turn the answer into a draft — grounded in your materials, and kept safe.
→Expand the draft into a long document, section by section, from a template.
→Approved instructions and reusable helpers keep every step consistent.
→Every action across every tool writes to one record you can verify.
LamFia makes two promises most platforms can't. Your data stays yours — it never has to leave the building. And your content stays yours — it lives in plain Markdown you'll never be locked out of. Both are provable in a demo, not promised in a brochure.
The fully offline setup. The software blocks every outbound call and refuses to start if the block isn't working — privacy as a property of the product, not a line in a policy.
A question, a draft, a helper run — recorded with its sources, linked so any change is noticed, and ready to hand an auditor. "We can show what the AI did," not just "we used AI."
Everything is plain Markdown on the published, vendor-neutral LGMD standard — it opens in any editor, diffs in version control, and one source exports to PDF, Word, slides, and sheets. When you want to, hand a whole workspace to an outside AI assistant — Claude, ChatGPT, Gemini, or a local model — as one self-describing file, assembled on your machine and off until you turn it on. If a licence lapses the software keeps working. It never bricks.
The AI runs on your hardware by default. Reach for a cloud engine only where your policy allows — and in AirTight, never. Local by default also means no surprise per-use cloud bills.
LamFia isn't competing to be the best cloud AI. It's the platform for the work that can't go to a cloud at all — and for proving what the AI did afterwards. Often the honest answer is "use both."
A public chatbot or cloud assistant is fast and capable — when your data can live in someone else's cloud.
Your data leaves your walls, answers aren't grounded in your own material, and the record isn't yours.
For the work that can't go to the cloud: grounded in your documents, on your machines, with the record on your own disk. Use it alongside cloud AI, not instead of it.
Straight answers for the executive sponsor, the security reviewer, and the team that has to live with the decision — no jargon, nothing you couldn't verify in a demo.
Tell us the one workflow that matters most, and we'll set up a short, low-risk pilot. If it doesn't help, you keep all your data and walk away — there's nothing to extract and nothing to lose.
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Tell us the one workflow you'd like to test — we'll reply within one business day.
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