Describe the context through the Form
Collect viewpoint, activity, result and operating conditions on the website. The Form composes the specific Project Kernel from that context and delivers it in the configured package.
Read the Form routeInside the Project Kernel
The Project Kernel for work with AI
The assistant uses knowledge, principles and methods expressed in natural language to understand and carry out work. Its available competences develop through interaction. Work can begin with an open question.
The situation to understand
Questions and objectives
People, sources and context
Conditions and responsibilities
Operational knowledge
MAIOSProject Kernelknowledge · methods · competences
The assistant at work
Understands and acts
Uses the kernel with people and tools in its own environment. Produces results and preserves the reasons behind decisions.
Work develops knowledge. New understanding updates knowledge, methods and competences.
- People, sources and context make the situation recognisable.
- The Project Kernel makes knowledge, principles, methods and competences available.
- The assistant exercises this knowledge through the means of its own environment to understand and act.
- Results and new understanding develop the knowledge through which work continues.
Inside the Project Kernel
What changes in the assistant
The Project Kernel brings together operational knowledge: sources, principles, methods, competences, decisions and reasons. The assistant interprets it with the people and means of its own environment, understands what needs doing and carries activities forward. Developed knowledge and the reasons behind decisions remain readable in the working folder, available for later activities.
Competences make knowledge and methods available; meta-skills participate in their formation and development. Continuity enables work to resume from preserved reasons and current facts.
01Context and sourcesConnects objectives, documents and facts to the situation being addressed.
02State and continuityPreserves decisions, reasons and methods, and revisits them in light of changes.
03CompetencesUses and combines pertinent knowledge and develops the capabilities needed.
04Actions and consequencesOrganises and carries out activities, connecting results, consequences and responsibilities.
05Open possibilitiesUnderstands the situation beyond existing frameworks and already-known means.
06EvolutionIntegrates new understanding into capabilities and how further ones are formed.
The kernel participates in the work. The assistant uses this knowledge to organise and carry out activities, with people and autonomously. The system develops its capabilities and how it designs products and services. When a kernel becomes an operational part of them, it accompanies their evolution through feedback from use. The system through the product lifecycle.
Who it was conceived for
Nine contexts, one system that learns the work
Examples of activities for people and organisations working with AI. Competences develop from domain knowledge, experience and recognised possibilities. People, sources and tools participate in the method and results.
01AI builder or developerAI agents, workflows and software
- Designing AI assistants and multi-agent systems.
- Orchestrating agentic workflows, APIs and tools.
- AI agent testing, evaluation, observability and monitoring.
- Technical documentation, releases and security boundaries.
02Company or leadershipProcesses, decisions and business continuity
- Business process automation and knowledge management.
- Decision support, reporting and operational control.
- Customer management, internal requests and CRM workflows.
- AI governance, company data, risk and continuity.
03Research or universityExperiments, knowledge and transfer
- Literature research and source maps.
- Experiment planning, experiment tracking and reproducibility.
- Monitoring data, instruments and laboratory cycles.
- Research project management and transfer of results.
04Professional or firmClients, documents and responsibility
- Client intake, document collection and matter organization.
- Research, analysis and draft preparation with identifiable sources.
- Deadlines, reviews, approvals and responsibility handoffs.
- Local or hybrid AI for confidential professional information.
05Consultant, startup or AI agencyDelivery, automation and clients
- AI assessment and client solution design.
- Workflow automation, CRM and marketing operations.
- Reusable delivery methods across different projects.
- Continuity of decisions, materials and responsibility.
06Manager or team leadProcesses, people and outcomes
- Process mapping, bottlenecks and dependencies.
- KPI, risk, issue and decision monitoring.
- People coordination, handoffs and responsibility.
- Project portfolio management and operational continuity.
07Operator or teamDaily work, quality and safety
- Standard operating procedures, checklists and contextual instructions.
- Request classification and routing.
- Exception management and quality or safety monitoring.
- Shift handoffs, reporting and continuous improvement.
08School, institution or organizationServices, learning and coordination
- AI training pathways and knowledge management.
- Organizing requests and services for people.
- Coordinating projects, activities and stakeholder communication.
- Governance, accessibility, privacy and responsible AI use.
09Investor or project evaluatorDue diligence, risk and milestones
- Technical due diligence for startups and AI systems.
- Comparing claims with available sources and evidence.
- Risk assessment and milestone or outcome monitoring.
- Comparable scenarios and decision-support memos.
Two ways into the Project Kernel
Start from a described context or explore it through work
The Form prepares a delivery from the described context. MPK is used in your own environment, including to explore a question; a project is organised when needed.
Start in the working folder
Install the Project Kernel in the chosen folder and start with your AI assistant. Exploring a question is already useful work; the system understands the context and brings pertinent competences into play while working. A project is organised when needed.
Discover MAIOS Project Kernel 5.1.0Operating horizon. The Kernel is designed to accompany work from software systems towards future agentic and embodied forms, where competences, tools, sensors and action capabilities can compose in context. Distribution 5.1.0 installs the local foundation on supported hosts today and shares the Project Kernel 3.0.0 family with the Form-preconfigured package. Every connection to external tools, physical systems, publication or real automation requires specific adapters, permissions and verification.
Open source · AI search
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Explore K-SEOA MAIOS specialization
Communication and relationships, with Social Kernel.
An open-source kernel for understanding what to communicate, creating writing and media, and building relationships. Experience can become skill. It can work on its own or with other kernels in the project.
Explore Social KernelCompetence and interaction
Work takes shape with K-UX-AI.
A competence kernel for understanding work, building original interfaces and learning through their use. Code connects sources, events and human intervention; the receiving environment supplies the model, tools and controllers.
Explore K-UX-AIOne domain, different contexts
Knowledge across the yacht’s lifecycle.
Kernel Nautico connects design, construction, operation and service, preserves reasons and consequences and develops competences through work. It can combine with MPK for project startup and continuity. The visual UI is optional: explore the guide and illustrative case; the shipyard connects its own sources and systems.
Explore Kernel Nautico