Choose how to prepare the project. The Form gathers the context first and delivers an already configured package. MAIOS Project Kernel enters the folder instead and takes shape with the coder through the work.
Do you mainly work in an AI chat? Discover kernel_chat.
Two ways to start
These are two distinct products. The Form prepares context before delivery; the self-configuring package builds it inside the folder with the coder. Both implement the Project Kernel 3.0.0 family with their own configuration, builder and receipts.
01 · With the Form
Describe the activity, objective, people, data and environment. MAIOS prepares the document and package for your case.
02 · With the package
MAIOS Project Kernel brings an operating Kernel for the project into its folder. The coder handles installation and technical checks, then reconstructs context, direction and useful competences with you.
System capabilities
“The value of new AI systems will depend on the quality of their logic and their awareness of context.”
Reconstructs the situation, distinguishes requests, constraints and possibilities, and keeps the starting point legible.
Turns approved context into specifications, instructions and first verifiable results.
Connects data, tools, models and existing work where they can produce a useful result.
Makes sources, results, limits, responsibilities, approvals and verification criteria visible.
Keeps the project, people, capabilities, tools and operational steps connected.
Preserves context, reasons behind decisions, observed consequences and state so the project can resume and evolve.
What you receive
Objective, point of view, activity, first result, boundaries and initial project state.
Initial structures for context, configuration, instructions and re-entry points. The manifest states which Project Kernel is included, which route produced it and which elements were composed.
The assistant role, expected behaviour and useful questions for understanding the work without reducing it to a fixed interview.
Reusable capability references and entry guidance suited to the environment and expected result.
Operating boundaries, usable sources, responsibilities and conditions for the project.
Manifests and composition receipts show what was prepared and which sources it came from.
Next step
If you want to define the project first, use the Form. If you want to understand the Kernel, its functions and how the coder brings it into a folder, enter the self-configuring package page.
Do you mainly work in an AI chat? kernel_chat gives the AI a persistent source you control, so context, sources, reusable competences and learning can remain available across sessions and compatible environments.
