On the website
Use the configurator
Provide the context in the Form and receive the project document with the configured package.
Use the configuratorAI made easier — from project to product
Configure the package with the Form, or download the self-configuring structure and define the project in your environment together with the assistant.
- 01Configuration
- 02Composition
- 03Delivery
Two ways to start
Configure before or inside the project
Both routes prepare a context-aware base and a first verifiable movement. The self-configuring package already includes an initial Project Kernel; the Form prepares context for subsequent composition.
In your environment
Download the self-configuring package
To start with Codex:
- Create a new folder and extract the ZIP there.
- In Codex choose Open folder and select it.
- Write:
Read START_HERE.md and let’s begin the configuration.
You do not need to know AI or have already decided what to build. The assistant starts from the work you describe and saves the configuration as you proceed.
Version 1.2.2 · SHA-256 checksum
Download the self-configuring packageFrom context to project
Three main stages
Information gathered in the Form or during first use configures the setup, orients the capabilities and prepares the first project result.
- 01
Collect
Answers become a reviewable base.
- Point of view and activityidentify the role from which the project is observed and the work to address.
- Result, people and datadefine the first result, who will work on it and which conditions matter.
- 02
Compose
Approved information becomes a coherent starting structure.
- Capabilities and adaptersare selected according to context, expected result and target environment.
- Project Kernel by routeit is already generated in the self-configuring package; in the Form route it remains a later composition prepared by the gathered context.
- 03
Deliver
Client Setup joins the result into a downloadable, inspectable archive.
- MAIOS Packagecontains the initial setup and the inventory of the composed elements.
- Start and continuitytell the assistant what to read, where to begin and how to preserve context.
What you need: enough knowledge of the context to correct proposals and verify the result.
System capabilities
Architecture and possibilities of the system
“The value of new AI systems will depend on the quality of their logic and their awareness of context.”
Understand context and possibilities
Reconstructs the situation, distinguishes requests, constraints and possibilities, and keeps the starting point legible.
Design and build
Turns approved context into specifications, instructions and first verifiable results.
Integrate and automate
Connects data, tools, models and existing work where they can produce a useful result.
Verify and govern
Makes sources, results, limits, responsibilities, approvals and verification criteria visible.
Coordinate the work
Keeps the project, people, capabilities, tools and operational steps connected.
Preserve continuity
Maintains context, decisions, state and the possibility to resume and evolve the project.
What you receive
Our experience made portable and reusable across domains and contexts.
The configured or self-configuring package enters the project folder and tells the assistant how to begin and continue the work.
Context and direction
Objective, point of view, activity, first result, boundaries and initial project state.
Startup kernels and state
Initial structures for context, configuration, instructions and re-entry points. The manifest states whether the Project Kernel is included or remains to be composed.
Assistant and startup interview
The assistant role, expected behaviour and useful questions for completing the operating context.
Selected capabilities and adapters
Reusable capability references and entry guidance suited to the environment and expected result.
Rules, data and responsibility
Operating boundaries, usable sources, responsibilities and conditions for the project.
Inventory and receipts
Manifests and composition receipts show what was prepared and which sources it came from.
Next step
Choose where to configure the project
You can prepare the context in the configurator or let the package run the startup interview after you place it in the project.