#agents
agents shows up across 5 section(s) and 18 page(s) in this workspace. Use this page as a topic map, not just an archive.
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- Systems 9 page(s)
- Sentences 2 page(s)
- Self 1 page(s)
- Shelf 4 page(s)
- Sticky Notes 2 page(s)
AI Agents vs AI Workflows
A practical explanation of the difference between autonomous-seeming agents and controlled workflows, and why the distinction matters in production systems.
Agent Instructions and Handoff as an Operating System
A practical architecture for running AI agents reliably using instruction contracts, handoff memory, and measurable quality gates.
Engineering Agentic Systems for Reliability
A practical reliability model for agentic systems built around governed steps, verification, escalation, and observability.
From Ad-Hoc Prompts to Repeatable Agent Workflows
A practical case study showing how structured instructions, handoff memory, and quality gates improved consistency and coverage in this repository.
I-7 Cognitive Loop: A new standard for Human-AI interaction
A governance-first interaction model that extends Norman's stages for AI-assisted work.
Skills vs Prompts vs Agents
A systems-level comparison of prompts, skills, workflows, and agents so teams can stop mixing up instruction surfaces with execution architecture.
The Intelligence Assembly Model
Why useful AI behavior comes from how models, memory, tools, policies, and feedback loops are assembled into one system.
What a Skill Is in AI Systems
A practical definition of skills as reusable execution units that sit between prompts and workflows in modern AI systems.
Agentic Orchestration: Designing Multi-Agent Coordination
How to design reliable multi-agent systems with proper handoff protocols, coordination patterns, and failure handling that keeps orchestration from becoming orchestration chaos.
Autonomy needs a brake.
Handoffs are load-bearing.
What I Learned Debugging a Multi-Agent System
The debugging session that taught me why observability is not optional in orchestration, and what I now look for first when a multi-agent system misbehaves.
Architecting Agent Intelligence deck
A practical deck on agent architecture, control points, and reliability patterns.
Building an AI Brain, step by step
A staged deck on assembling AI systems from intent framing to reliable execution loops.
Engineering Agentic Systems deck
An engineering-focused deck on building agentic systems with explicit control points, checks, and observability.
DAX Agentic Orchestration deck
A deep dive into agent orchestration patterns, handoff protocols, and building reliable multi-agent systems.