Your AI. Your way.
grāmatr℠ learns your preferences, your patterns, and your decision-making style — then carries that intelligence into every AI tool you use. 40,000 tokens down to 1,200. 97% smaller prompts. Measurably better responses. Claude, ChatGPT, Gemini, Cursor. One intelligence layer. Every tool. Yours.
Every AI you use starts from zero.
You know this routine. You open a new session, and the AI that helped you build an entire feature yesterday has no idea who you are. Your codebase, your conventions, your preferences — gone. Every single time.
Bug report — anthropics/claude-code #2545, June 2025"Explicitly instructed Claude Code to use my name and email for Git commits. 30 minutes later, Claude Code attempted to push with username 'claude' and email '[email protected]'. When questioned, acted as if no previous Git configuration instructions existed."
— @SDS-Mike
That is not a minor inconvenience. That is explicit instructions being discarded within minutes of a single session. And it compounds across sessions.
Article — DEV Community"By the fourth or fifth interaction, Claude Code starts ignoring your rules. It stops asking for confirmation. It forgets your workflow preferences. It's like your CLAUDE.md instructions never existed."
— Siddhant Khare, developer
The reality is that this frustration has a measurable cost. Not just annoyance — actual lost productivity, every day.
Article — emelia.ioDevelopers lose between 10 and 30 minutes at the start of each session rebuilding context. Over a work week, that adds up to several hours of lost productivity.
— Niels, co-founder of Emelia (paraphrased from article)
Several hours a week, spent telling your AI the same things you told it yesterday. That is not a workflow problem. That is a missing context engineering layer.
What changes on Monday.
You start your morning by re-explaining your project structure. You paste in your coding conventions — again. By the third interaction, the AI has already forgotten the architectural decisions you made an hour ago. By the fifth, it is ignoring your CLAUDE.md rules entirely.
Your system prompt has ballooned to 40,000 tokens because that is the only way to get the AI to behave consistently. And even then, corrections do not stick. You fix the same mistake on Tuesday that you fixed on Monday. The AI is not learning from your interactions — it is processing them and moving on.
Your AI carries yesterday's context forward. It knows your project structure, your naming conventions, and the architectural decision you made last Thursday about separating test agents from coding agents. When you corrected its approach to error handling on Monday, that correction became a permanent pattern.
The 40,000-token system prompt you were maintaining? Replaced by a 1,200-token intelligence packet that actually performs better — a 97% reduction in token usage, which means faster responses and lower API costs. Not because the information was compressed, but because grāmatr learned what matters to you and delivers only that. Your preferences persist across sessions. Your corrections compound into lasting improvement.
How to get in.
grāmatr is in private beta. Access is by application or referral.
Apply
Request early access. Every application is reviewed individually. We are looking for practitioners who use AI seriously and want it to get better over time.
Or get a referral
Know someone already in the beta? A referral from an existing user gets you in faster. Every beta user has a limited number of invites.
Set up
Once approved, you get setup instructions for your specific tools — MCP config for Claude Code, Cursor, and VS Code. Connect ChatGPT, Gemini, and mobile. The intelligence layer starts learning from your first interaction.
Works with everything you use.
grāmatr is not locked to a single platform. Your intelligence travels with you across every AI tool in your workflow.
One brain. Every tool. Start a conversation in Claude Code, pick it up in ChatGPT, check something in Gemini — your AI already knows what you need in each one.
Your data is yours.
Here is what happens with your interactions: they make your AI smarter. Your intelligence, isolated by row-level security and encrypted at rest.
grāmatr encrypts your data at the user level with row-level security enforced at the database layer. Your patterns, preferences, and corrections are scoped to you alone — isolated by architecture, encrypted at rest. Your intelligence is yours.
Your interactions make your AI smarter. That intelligence belongs to you — encrypted, isolated, and private by default.
Getting started.
grāmatr is in private beta. The Individual tier includes the full intelligence pipeline — pre-classification, routing, learning flywheel, and cross-platform intelligence — with per-user encryption and full data isolation. Pricing is available upon approval. Request early access to see tier details.
The floor rose — twice.
Two architectural breakthroughs. Each one permanently raised the productivity baseline. 40,000 tokens down to 1,200. 97% reduction. Better responses, lower costs — and the intelligence compounds with every interaction.
Ready to stop re-explaining yourself?
Your AI should know you by now. Request Early Access
See how it works, explore grāmatr for Teams, or view pricing.