--- title: 'Intentface OS for knowledge work — Your work, your playbook, any model.' description: >- Intentface OS for knowledge work: a personal operating system where your files, notes and playbook compound across every model and agent you use: private today, your company's playbook when you are ready. url: 'https://www.intentface.com/os/knowledge-work' site: Intentface --- # Intentface OS for knowledge work > Your personal knowledge-work operating system. **Your work, your playbook, any model.** You already use AI. Intentface OS is where your context, your files and your way of working live, so every model you use starts from what you know, none of them gets to keep it, and your standards get sharper instead of resetting every conversation. Built by Intentface · EU data residency · Plain files you own ## A chat is a stream. Your work is a structure. Deals, clients, projects and board prep, organised the way you already think, not the way a chat log happens to scroll. Everything you write becomes context the workspace carries forward. Write something once; it is findable next month, under the name you gave it. Nothing here has a name, an owner, or a place you can return to. ## Swap the engine. Keep everything else. A language model is an engine. A very good one, and a better one ships next quarter. Intentface OS is the garage around it: your files, your agents, and the playbook that says how you do things and why. That is what compounds, and a chat window never keeps it. Pick the model for the whole workspace or for a single agent: a fast one for the weekly summary, the strongest one for the first read of a contract. Change it in one setting. Nothing else moves. Workspace model, any of: Anthropic (Claude), OpenAI (GPT), Google (Gemini), Meta (Llama · open weights), Mistral (Mistral · open weights), DeepSeek (DeepSeek · open weights). Your files, Your agents, Your playbook: unchanged. ## Brief it once, the way you'd brief a sharp new colleague. Describe the outcome you want. The agent works inside your workspace, follows your notes and rules, runs on a schedule you set, and hands you a finished result instead of tossing back a prompt to edit. Monthly board prep. 1:1 briefings from the last conversation, goals and recent metrics. Define the work once and it is saved to a playbook. Next time, the agent already knows how you want it done. Example: Utilisation agent — Every Monday at 09:00 · Europe/Helsinki. Writes to Core / Utilisation week 37.md. ## A daily, weekly and monthly pulse that runs itself. Point an agent at your work and let it run the loop on its own schedule, instead of re-briefing yourself every Monday. Each pass leaves the context sharper than it found it. A simple example is MAP-agent: a daily, weekly, and monthly pulse for managing yourself or your team agentively. 1. **Build situational awareness** — Gather the relevant context across your work and understand what is actually happening. 2. **Turn context into action** — Distill the signal, identify what matters, create a plan, and communicate it clearly to others. 3. **Track, learn, repeat** — Follow progress, update the context, adjust the plan, and run the loop again. Over time, the system becomes more useful because the context, decisions, and operating rhythm compound. ## Meeting notes that remember, and follow through A meeting produces a memory and a to-do, and usually both die: the transcript goes unopened, the action items get buried under the next meeting. Intentface OS reads the transcript and writes the memo as a continuation rather than a blank page, recognising the thread you've discussed before and linking each new memo to it, so knowledge compounds instead of resetting every meeting. It also surfaces what was agreed and proposes an owner, tagged by client, deal and priority. Every task traces back to its conversation, context keeps building, and nothing waits under the table to be forgotten. ### It sits next to the tools you already use Intentface OS does not ask you to move your working life anywhere. It connects to Slack, your calendar, your CRM and your time tracking, and pulls facts from where they already live, so a note about a client or a week does not go stale the moment you write it. Connects to: Slack, Calendar, CRM, Time tracking, Meeting notes. ## One person's workspace becomes the company's playbook. Your workspace is yours. No model provider gets to keep it. The best people in any organisation already set the standard; the problem is that their judgment is hard to scale. When your team is ready to work from the same page, you turn a private folder into a shared one. Same workspace, no migration, nothing new to teach anyone. The fifth person to ask “how do we handle X” gets an answer instead of a Slack search. AI scales your standards, not inconsistency. ### Easy to share, and your documents stay alive Most of what is in it stays private. Some of it is meant to travel: a summary for a client, a one-pager for the board, a memo for the other side. Those go out as a single link: no account needed on their end, password-protected if you want it. The link stays connected to the source, so the version you shared is never the version that quietly went stale. ## Under the hood - **No-code agent builder** — Describe the outcome you want and build agents without waiting for engineering. - **A context engine that keeps itself current** — It connects to Slack, your calendar, your CRM and your time tracking, so context is not a stale snapshot from setup day. - **No ecosystem lock-in** — Use the models you or your company approve instead of tying your operating system to one AI vendor. - **EU data, no training** — Your workspace lives in the EU as plain files you can export at any time. Models see only what a question or agent needs, through business APIs that do not train on your content. ## Questions people ask before the demo ### Private or shared? Tuned for one person's knowledge work first. Same engine room, personal cockpit. When your team is ready, a private folder becomes a shared one in the same workspace. ### Where is my data? In the EU, in your own workspace, as plain files you can export at any time. ### What do the AI models see? Only what a given question or agent needs, never the whole workspace. Models are used through their business APIs, which do not train on your content. ### Do I need to learn a new way of working? No. If you can organise a folder and write a note, you already know the interface. ### Does it replace my current tools? Not if you don't want to. It sits alongside them and holds the context they do not. Your work, kept somewhere that respects it. Not rented from a chat log. Not locked to one engine. Yours: private today, shareable when you are ready, and compounding the whole time. Request early access: https://www.intentface.com/contact Product overview: https://www.intentface.com/os.md