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AI
AI
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AI Foundations
AI Foundations
01 LLM Mental Model
02 Tokens and Context Window
03 Model Inputs and Structured Outputs
04 Prompt Engineering
05 Context Engineering
06 Sampling and Model Behaviour
07 Model Selection and Routing
08 Embeddings
09 Tool Calling
10 Reliability and Deterministic Boundaries
11 Evaluation Basics
12 Cost and Latency
13 Safety and Trust Boundaries
14 AI Application Mental Model
Agentic Engineering
Agentic Engineering
Status
Agent Skills
Agent Skills
01 Skill Mental Model
02 Skill Anatomy and Contracts
03 Instructions, Knowledge and Examples
04 Tool-Backed Skills
05 Typed Inputs and Structured Outputs
06 Skill Discovery, Selection and Routing
07 Skill Composition and Reuse
08 Runtime State, Context and Memory
09 Reliability, Failure Handling and Deterministic Boundaries
10 Security, Permissions and Trust Boundaries
11 Skill Evaluation and Observability
12 Versioning, Lifecycle and Design Patterns
Agentic Loops
Agentic Loops
01 Agentic Loop Mental Model
02 Goals, Tasks and Success Conditions
03 Observation and Environment State
04 Decision and Action Selection
05 Planning and Task Decomposition
06 Execution State and Scratchpad
07 Stop Conditions and Execution Budgets
08 Failure Recovery, Retry and Replanning
09 Reflection, Verification and Critique
10 Human-in-the-Loop and Approval Gates
11 Loop Patterns and Control Strategies
12 Loop Evaluation, Observability and Anti-patterns
Agent Architecture
Agent Architecture
01 Agent Architecture Mental Model
02 Application Structure in the AI Era
03 Core Agent Runtime and Orchestrator
04 Context Architecture
05 Tool and Capability Architecture
06 Skill Architecture
07 State and Memory Architecture
08 Knowledge and Retrieval Architecture
09 Single Agent, Workflow and Multi-Agent Patterns
10 Security and Trust Architecture
11 Reliability, Scaling and Production Runtime
12 Evaluation, Observability and Architecture Patterns
Software Architecture
Software Architecture
Status
Trading
Trading
Status
Projects
Projects
Status
Trading
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Trading concepts, indicators, strategies, observations, and learning notes.
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