Masters of Cognitive Architecture
A collection of 26 posts
Exercise 1B: Testing Memory Across Sessions
Test semantic memory across sessions and learn how the awareness slider controls memory context.
· Qui Academy
Exercise 3B: Agentic Research Pipeline
Build an agentic workflow that autonomously chains Qrawl, Terminal, and summarisation.
· Keren Flavell
Exercise 2B: Control Codes & Decision Flows
Use control codes and variable substitution in a ThinkThing prioritisation workflow.
· Keren Flavell
Exercise 3A: Multi-Agent Collaboration
Build a hub-and-spoke multi-agent system with Broadcast, Collect, and Consensus nodes in ThinkThing.
· Keren Flavell
Exercise 2A: Strategic Analysis Workflow
Build a strategic decision workflow in ThinkThing using Autothink, Gate, and Choice nodes.
· Qui Academy
Exercise 1A: Create Your First Character
Build a Research Assistant character in Qui Anima and test it in Strings.
· Keren Flavell
Consciousness & Advanced Reasoning
Consciousness modeling with Qonscious and recursive multi-directional thinking with FractalMind.
· Qui Academy
First Conversations in Strings
Start conversations with your AI character in Strings — persistent memory, awareness control, and advanced reasoning features.
· Qui Academy
Building Characters in Qui Anima
Create your first AI character in Qui Anima's Visual Builder — identity, personality, memory, and capabilities on a visual canvas.
· Qui Academy
Exercise 4B: Testing & Optimisation
Stress test memory, run Cortex consolidation, verify self-modification, optimise ThinkThing workflows, and analyse costs.
· Keren Flavell
Exercise 4A: Complete Cognitive Architecture
Build an end-to-end cognitive architecture — characters, memory, tools, agentic mode, self-modification, and ThinkThing workflows.
· Keren Flavell
Case Study Analysis: Complex Decision-Making Scenarios
· Keren Flavell
Scaling Cognitive Architectures
Production patterns — scheduling, channel integration, federation, memory maintenance, and cost management.
· Qui Academy
Voice, Local Models & Privacy
Voice interaction, local LLM hosting, and QUI's three-level privacy architecture — from zero-knowledge cloud to fully local.
· Qui Academy
Self-Modifying Characters & Knowledge Bases
Characters that learn over time through self-modification, and document-powered knowledge bases for grounded responses.
· Qui Academy
Advanced Cognitive Architecture Patterns
Four production-ready cognitive architecture patterns — research analyst, support agent, self-improving tutor, and decision committee.
· Qui Academy
Agentic Mode & Autonomous Workflows
Autonomous multi-step tool chaining, 12 trigger types, and Spark sub-agents for background tasks.
· Qui Academy
Tools & Integrations: MCP, Terminal, and Qrawl
Enable characters with 165+ MCP tools, terminal access with 5-layer security, and AI-native web browsing via Qrawl.
· Qui Academy
From Individual to Collective Intelligence
Multi-character conversations in Strings and structured multi-agent workflows in ThinkThing.
· Qui Academy
Sequential Decomposition & Parallel Branches
Master complex ThinkThing patterns — loops, parallel branches, control codes, and variable substitution.
· Qui Academy
Memory Integration & Cortex Modes
How memory consolidation works — association graphs, compression levels, and 8 Cortex modes for processing knowledge.
· Qui Academy
Building Your First ThinkThing Workflow
Build a visual reasoning pipeline in ThinkThing — nodes, edges, quality gates, and real-time execution monitoring.
· Qui Academy
From Reactive to Strategic Thinking
14 thinking strategies for deep AI reasoning — from reactive responses to structured strategic analysis.
· Qui Academy
Installing Your Cognitive Architecture Lab
Set up your QUI Core installation — the complete cognitive architecture development environment.
· Qui Academy
What Is Cognitive Architecture?
· Qui Academy
Masters of Cognitive Architecture
Your first step into cognitive mastery. Level 1 takes you from zero to building AI characters, visual workflows, and fully orchestrated multi-agent systems — all within a single, connected framework.
· Keren Flavell
