Page 475 - AI for Good Innovate for Impact

AI for Good Innovate for Impact

Use Case 17: Attached Intelligence for Knowledge Workers: A

Framework for Cognitive Resilience and Mindful Productivity 4.4-Productivity

Organization: Etcera by Akimilabs

Country: Canada

Contact Person(s):
David Agahchen, david�agahchen@ akimilabs �com
Anissa Agahchen, anissa�agahchen@ akimilabs �com

1 Use Case Summary Table

Item Details
Mindful productivity, cognitive resilience, human-centered decision
Category
support.
Knowledge workers face growing decision fatigue and fragmented
workflows due to high cognitive load, constant context switching, and
Problem Addressed
reactive task cycles—reducing their capacity for deep work, alignment,
and long-term resilience.

- Think Do Reflect productivity framework.
- Attached Intelligence Multi-agent System (AIM-1.)
Key Aspects of Solu- - Context-aware support and reflection prompts.
tion - Modular orchestration of specialized AI agents.
- Goal alignment, emotional modeling, and knowledge graph inte-
gration.

Attached Intelligence, Large Language Model (LLM) -powered AI,
cognitive augmentation, natural language understanding, AI-assisted
Technology Keywords
reflection, mindful productivity, multi-agent orchestration, context-
aware memory.

Private (collected and stored securely in Etcera platform; not publicly
Data Availability
shared.)
Metadata (Type of Text (thoughts, reflections, actions), temporal context, emotional states,
Data) intentions, decision links, topic threads.

Retrieval-augmented generation and memory-enhanced personal-
Model Training and ization. No model retraining required. AIM-1 is a modular system of
Fine-Tuning coordinated AI agents uses LLM inference combined with user feed-
back, contextual memory, and modular agent coordination.

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