Recently we (the AI community) have seen the big players and overvalued startups: * Change their usage limits so plans are unreliable * Change their underlying model behavior and disrupt our workflows * Go completely down so they are unusable * Make cringe moves that make us not want to associate with them * Not move fast enough to keep up with competitors etc... With ThinkOS (link in bio), your intelligence belongs to you. You privately own your prompts, memories, workflows, policies, secrets, etc.. and can swap providers/models at any time. In fact, check out our new feature Auto Mode, which automatically optimizes model and token usage across multiple providers. Let us know what you Think.

As desktop & mobile UIs for popular harnesses emerge, there are clear problems (and opportunities!). We are addressing these directly with ThinkOS...a desktop & mobile application (coming soon!) that allows you to completely own/build your own AI....even as a non-technical person....even in complex business settings: (1) Local, private, model-agnostic, uncensored, & independent AI must be encouraged by default. (2) Your thoughts/memories/context shouldn't be fractured across providers. These are yours. Context/permissions can be carefully given to your teams/projects as needed on a peer-to-peer basis. (3) Big Tech seems content to partner with top harnesses as long as centralized API keys/oauths are front and center (it doesn't need to be this way!). (4) Even Big Tech harnesses are too complex for most people, which requires hiring expensive forward-deployed engineers (FDEs) to get your company up to speed. Most companies are falling dangerously behind. (5) ThinkOS aims to DRAMATICALLY simplify the wins for everyday people with private, independent AI across personal and professional projects. Complex connectors/skills/tools/artifacts lose basically everyone except advanced AI architects (hence the need for expensive FDEs). (6) ThinkOS will, of course, allow advanced users to setup complex agentic swarms/teams like other harnesses/frameworks. In addition, we believe our UX will make these easier to manage across multiple models. (7) While Big Tech models will, of course, be optional (like any other model....hence "model-agnostic")...we are designing for local models by default....and leveraging Compiled Intelligence to reduce the need for LLM calls over time.