Current status
The role model, authority rules, confidence model, and fictional pilot environment have been defined. Current work is translating those decisions into a provider-independent architecture that can be tested safely.
Applied AI · Organizational systems
System design and prototyping
An AI project coordinator designed to participate in real team workflows with bounded authority and visible human accountability.
The starting question
What does an AI system need in order to participate responsibly in the ongoing life of a project - not merely answer isolated questions?
The system
Aida begins with an organizational role rather than a list of model capabilities. As a project coordinator, she can preserve context, locate unresolved decisions, follow work across systems, coordinate specialized agents, and prepare authorized actions.
The architecture separates assistance from commitment. Investigation and preparation can be proactive; actions that create obligations for people require explicit human authorization.
Design principles
Give the AI a defined role, not unlimited helpfulness.
Separate investigation from commitment.
Treat uncertainty as information that must be surfaced.
Keep responsibility visibly attached to a human owner.
Preserve the ability to replace model providers as the field changes.
Current status
The role model, authority rules, confidence model, and fictional pilot environment have been defined. Current work is translating those decisions into a provider-independent architecture that can be tested safely.
What it demonstrates
An approach to applied AI that defines responsibility before capability and treats governance as part of the product architecture.