Problem it solves
Organisations have documents and decisions, but AI tools often do not understand the context in which work actually happens.
Development direction for reliable AI systems
Local AIStavron Intelligence Platform / Mićko
A research and development direction for local AI, memory, planning and context understanding.
Who it is for
For organisations that need intelligent systems for real work while keeping control over data, rules and responsibility.
Šta sistem omogućava
Mićko researches local AI, memory, planning, context, safety and evaluation. It is not a claim that AGI has been built.
Zašto je korisno
The organisation moves toward AI that better understands its documents, tasks and decision history, with outputs that remain reviewable by people.
Intelligent system architecture
Memory, context and planning under human control.
The platform is a development layer for organisations that need AI connected to documents, tools and rules.
Local data layer
Documents and knowledge can remain in a controlled environment.
System memory
Relevant context is preserved without turning every input into uncontrolled knowledge.
Step planning
AI proposes a path that people can review, change or reject.
Evaluation and safety
Quality checks, behavioural limits and control are part of the architecture.
Application example
Internal knowledge assistant
A team searches across rules, records and decisions. The system finds relevant context, proposes next steps and shows why it answered that way.
Konkretne prednosti
Praktična vrednost sistema.
Local AI approach for stronger data control.
Memory that keeps relevant context.
Planning that remains visible to people.
Better understanding of documents and rules.
Evaluation before serious use.
Safety and control as part of the design.
Proof and current status
Research with clear boundaries
Mićko is an internal development name for experiments around local AI, memory, planning, context, evaluation and control. We do not claim that AGI has been built.
Metrics
Space for measurable system data.
Architecture
Reliable intelligence architecture
User
↓Understanding
↓Memory
↓Planning
↓Search
↓Evaluation
↓Answer
Screenshot gallery
Slots for real product views.
Desktop
AI workspace frame
Tablet
Knowledge review frame
Mobile
Assistant view frame
Admin
Control layer frame
System
Memory graph frame
Architecture
Evaluation flow frame
Video space for system presentation.
This frame is ready for YouTube, MP4 or self-hosted video once the material is available.
Assets that support enterprise evaluation.
PDF BrochureResearch summary slotTechnical OverviewControl model slotArchitecture PDFLocal AI slotCase Study PDFPilot evidence slot
CMS readiness
Content is organised as a replaceable data layer, ready for Sanity, Contentful, Strapi or a custom backend.
Next step
Discuss your AI architecture
If you are considering AI that works with your documents and rules, the conversation should start with data control, system boundaries and concrete tasks.