ānbāsan - work with | in context
Work smarter with Context Management
Context Management helps you connect information effortlessly and in a meaningful way, instead of simply storing it. As a result, content, tasks, and knowledge can be understood faster, are easier to find, and are immediately usable in daily work — including with AI.
What makes ānbāsan special?
A context-based approach to work. In and with context.
In many digital work environments, information is scattered across different apps: notes, tasks, documents, and communication exist side by side. What is missing is an immediately usable connection between these elements.
ānbāsan addresses exactly this. Content is not treated in isolation, but connected with one another. This creates a context that is immediately usable.
Four benefits you’ll feel immediately.
See information in context
We also organize content based on its relationships to other content. This reduces search effort and helps turn fragmented data into a clear and comprehensive picture quickly. Dynamic structures replace static folders.
Less searching. More understanding.
The features are designed to save time at work. Relevant information is available exactly where it is needed — directly, without detours, and without losing context.
Context supports decision-making
When data, notes, and tasks are connected, it becomes easier t to see the bigger picture, make informed decisions, and derive the next steps.
Relevant AI results
With full context, AI delivers precise, error-free answers — not superficially, but exactly to the point.
// CONCEPT: CDW
Context-Driven Work / CDW
CDW is the conceptual model behind ānbāsan: context is not created as an additional task, but emerges organically from your everyday work. Every email, note, and task is automatically assigned to the appropriate context—without the need to create folders, tag data, or prepare data spaces.
Traditional Knowledge Management
• Manually create folders, tags, and structures
• Separate data workspaces for every AI application
• Context must be reassembled before every query
• Effort grows with every new tool
Context-Driven Work
✓ Context grows organically with every action
✓ One context, unlimited AI applications
✓ Every query is automatically connected to the right context
✓ Effort remains constant—regardless of the number of tools
// TECHNOLOGY: CM
Context-Manager / CM: the technology behind CDW
CDW defines the model; the Context Manager makes it work. It connects your data sources, automatically recognizes relationships, and uses Auto-Assign to place every new piece of information into the right context. The Context Manager continuously organizes related content into self-contained context clusters, creating the foundation for every AI application and interaction.
// Data sources
Notes
Tasks
Files
Calendar
...
// CM
Auto-Assign
+ Clustering
// Subjects
Project Atlas
Concept QM
...
// ECOSYSTEM: CAAS
Context as a Service / CaaS
The Context Manager doesn't just provide context for people—it provides context for AI. Through a Context Layer (CL) exposed via MCP servers, AI applications gain access to the information they need to work effectively.MCP (Model Context Protocol) is an open standard for connecting AI systems to external data sources. Using MCP, ānbāsan delivers precisely the part of your context that is relevant to a given question—no more and no less. That's Context as a Service.
01
No Dedicated Workspace Required
Any MCP-compatible AI can access your context directly. No uploads or preparation.
02
Automatically the Right Slice of Context
You can put every question in the appropriate context. Your AI receives only the information that is actually relevant—not everything that might be relevant in theory.
03
Fewer Tokens, Better Answers
Reducing irrelevant data in the prompt lowers input token consumption. More precise context leads to the right answer faster—with fewer follow-up questions and fewer output tokens.
// MORE ABOUT
Working with context
There are two essential ways for working with context.
Context Management
Intelligent management of all related information – automatically recognized, semantically linked, and freely structured.
ānbāsan collects data from your tools (emails, notes, tasks, etc.), automatically recognizes connections, and lets you link everything according to your preferences.
Context Engineering
The targeted construction of datasets specifically for AI – for smart buttons, AI chats in context and with automatic linking.
The context isn’t just there – it’s structured and directly usable. AI receives everything it needs to complete tasks quickly and precisely, according to your wishes.
Example: Open task → ānbāsan loads all related emails, notes, and topics. You can restructure, link, and organize everything as a parent topic or sub-element as you like.
Example: The “Write reply” button: AI uses context (customer, project, previous offers, requirements) and writes the draft. With the AI chat, you can ask questions and continue working within that context – everything remains contextualized and linked.
With a shared context, you and your AI work in sync. You both have the same level of knowledge – the AI completes tasks exactly as you want. Results that now precisely meet your expectations.
// IMPLEMENTATION
The core functions of ānbāsan
Beyond apps and data — this is where the full potential of your data unfolds, because the whole is greater than the sum of its parts.
Organize data to context
Happens automatically or according to your preferences.
Integration of external systems
Automatically generate new context from data
Automatically enrich context with new data
Receive context suggestions for your data
Manage your context
Always remain in full control
The app helps you identify, group, and manage related content with precision. In the screenshot, you can see how data is automatically organized and can be adjusted manually when needed — saving time and keeping everything clear and structured.
The visuals reflect the current development stage and may change as the product evolves.
Work in and within context
Every piece of your data comes with its own context — a space where you can work seamlessly and stay fully focused.
Context-based knowledge base
Navigate in context
Quickly find what you need in and through context, with less switching between contexts
Add or remove elements within context — automatically managed by the system
Any structure in context — however deep, whether parent or child. Anything is possible.
Always remain in full control
Here you see how various content types merge into a single, connected context. That’s how data relationships become seamlessly usable — enhancing your work and any AI relying on the same foundation.
The visuals reflect the current development stage and may change as the product evolves.
AI within context
Every piece of data has its own context that the AI can access and work in — just like you. It can
Work freely within context
Add new elements to its context
Use Smart Buttons to carry out tasks for you as instructed — all in context
Transparency — everything remains traceable
Always remain in full control
The AI works right beside you — in chat and across tasks — while you stay fully in control of your context. Everything stays connected, clear, and instantly usable. When the AI creates a note or email for you, it appears right in the chat as context, ready for you to act on it seamlessly.
The visuals reflect the current development stage and may change as the product evolves.
Connect Your AI Tools with Ease
Seamlessly integrate context management with AI tools and services using our MCP Servers and Custom Connectors. Empower AI assistants with the information they need to deliver more accurate, relevant, and valuable results.
MCP provides a flexible foundation for implementing capabilities such as data queries, workflow triggers, document operations, and system integrations, which can be extended or adapted via custom connectors as requirements evolve.
Looking for a specific feature? Reach out to us!
Connect to Claude via a Custom Connector
Connect to ChatGPT via a Custom Connector
More to come!
Ready for a live demo, or have questions about ānbāsan? Get in touch with us now! Or if you’d like to learn more first, read on to get to know more on use cases, connectors, and more.
// BEFORE · AFTER
User & Use Cases
Do you recognize yourself? Here are typical problems we solve – for AI power users, regular AI users, and anyone who wants to spend less time managing data and searching for information.
// Your Challenge
Organize & Maintain Data
// What It Costs You
Time Spent on Organization
// Our Solution for You
Self-Organizing with CDW
Organic Data Organization, Auto-Suggest & Clustering
// Your Challenge
Find Relevant Data
// What It Costs You
Time Spent Searching
// Our Solution for You
Navigation in Context
Faster Retrieval Without Search Overhead
// Your Challenge
Collect Context for AI
// What It Costs You
Time Spent for Preparation
// Our Solution for You
Access to Context
Direct via MCP, no workspace required
// Your Challenge
Inaccurate Context
// What It Costs You
Token Cost
// Our Solution for You
Precise Context
Fewer Input and Output Tokens
// SETUP
Here's how easy your start is
Only 4 small steps are needed. ānbāsan can be adopted without disrupting existing processes.
Step 1: Register and connect your data
You connect your tools: Microsoft 365, etc., with OAuth – securely and easily. ānbāsan will now automatically synchronize your data.
Step 2: We'll set up your context together
With the tools in ānbāsan, we organize everything according to your preferences from the start – completely free, non-hierarchical, and linkable as desired.
Step 3: Connect Your AI Ecosystem
We connect our app to your AI tools through custom connectors. Using MCP, your AI tools can then communicate directly with our app and access the context they need to perform their tasks.
Step 4: Work with contextual intelligence
Smart buttons, AI chat, contextual navigation – use AI to complete tasks precisely. One click = AI has access to the complete relevant context. The context then organizes itself automatically, or according to your preferences.
// DATA SOURCES
Connectors
Microsoft 365
Email, Calendar, SharePoint, OneDrive, DoDo, and OneNote
More to come, ...
In planning (Google Workspace, …) …
Your tool?
APIs and webhooks can be configured as needed
More to come soon: Further integrations are planned. Do you have a specific tool in mind? Write to us: contact@anbasan.com
Contact
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