Agentic Design

Consulting and development repository for agentic delivery and AI architecture. Patterns, bytes, and blueprints for building agentic systems.

23 PATTERNS
BLUEPRINTS READY FOR DEPLOYMENT
RECORD: AGENTIC_DEV_001LEVEL: FOUNDATIONAGENTIC_BYTE

The Agent Loop: Observe → Plan → Act → Verify

Understand the minimal mental model of an AI agent so you can explain it clearly and design it reliably.

#agent-loop#react#plan-execute#verification#reliability
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RECORD: AGENTIC_DEV_002LEVEL: FOUNDATIONAGENTIC_BYTE

Tools vs Chat: When an Agent Must Act, Not Just Talk

Learn to clearly distinguish between 'thinking in text' and 'acting on the world', and explain why serious agents must use tools.

#tool-calling#hallucination-prevention#decision-rule#agent-design
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RECORD: AGENTIC_DEV_003LEVEL: FOUNDATIONAGENTIC_BYTE

Output Contracts: Why Agents Must Speak JSON

Understand why strict output formats (JSON schemas) are critical for building agents you can trust, debug, and automate.

#json-schema#output-contracts#agent-reliability#automation
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RECORD: AGENTIC_DEV_004LEVEL: FOUNDATIONAGENTIC_BYTE

Chunking: How Knowledge Must Be Cut for RAG

Learn how to structure knowledge so an agent can reliably retrieve and use it without confusion or hallucination.

#rag#chunking#knowledge-design#retrieval-quality
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RECORD: AGENTIC_DEV_005LEVEL: FOUNDATIONAGENTIC_BYTE

Metadata: Teaching Agents What a Chunk Is About

Understand how metadata turns raw text chunks into navigable, filterable, and trustworthy knowledge for agents.

#metadata#rag#knowledge-governance#agent-control
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RECORD: AGENTIC_DEV_006LEVEL: FOUNDATIONAGENTIC_BYTE

Reranking: Choosing the Right Knowledge After Retrieval

Understand why initial retrieval is not enough and how reranking helps an agent select the most relevant and safe knowledge.

#reranking#rag#retrieval#answer-selection
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RECORD: AGENTIC_DEV_007LEVEL: FOUNDATIONAGENTIC_BYTE

Guardrails: What an Agent Is Never Allowed to Do

Learn how to define hard boundaries so an agent behaves safely, predictably, and does not overstep its authority.

#guardrails#agent-safety#control#production-agents
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RECORD: AGENTIC_DEV_008LEVEL: FOUNDATIONAGENTIC_BYTE

Self-Check / Critic: Teaching Agents to Verify Themselves

Understand how to add an explicit self-check step so agents catch their own mistakes before users do.

#self-check#critic#verification#hallucination-control
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RECORD: AGENTIC_DEV_009LEVEL: FOUNDATIONAGENTIC_BYTE

Plan → Execute: Separating Thinking from Doing

Learn why agents must separate planning from execution to stay controllable, debuggable, and safe.

#plan-execute#agent-control#workflow#reliability
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RECORD: AGENTIC_DEV_010LEVEL: FOUNDATIONAGENTIC_BYTE

Human-in-the-Loop: Where Agents Must Stop and Ask

Understand where and why an agent must defer to a human, and how to design clear handoff points.

#human-in-the-loop#governance#agent-autonomy#trust
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RECORD: AGENTIC_DEV_011LEVEL: FOUNDATIONAGENTIC_BYTE

Golden Set & Evals: How to Know Your Agent Works

Learn how to evaluate agents systematically so improvements do not break existing behavior.

#evaluation#golden-set#regression#agent-quality
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RECORD: AGENTIC_DEV_012LEVEL: FOUNDATIONAGENTIC_BYTE

Tracing & Observability: Making Agent Behavior Explainable

Understand how to trace, inspect, and explain what an agent did, step by step, in production.

#tracing#observability#production-agents#explainability
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RECORD: AGENTIC_DEV_013LEVEL: FOUNDATIONAGENTIC_BYTE

Memory: What Agents Should Remember (and Forget)

Understand different types of agent memory and how to use them without creating confusion, drift, or privacy risks.

#agent-memory#rag#state-management#knowledge-hygiene
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RECORD: AGENTIC_DEV_014LEVEL: FOUNDATIONAGENTIC_BYTE

Prompt Injection & RAG Defense: How Agents Protect Themselves

Learn how to prevent agents from being manipulated by user input or retrieved content, especially in RAG systems.

#prompt-injection#rag-security#agent-safety#defense
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RECORD: AGENTIC_DEV_015LEVEL: FOUNDATIONAGENTIC_BYTE

Cost & Latency Budgeting: Designing Agents That Are Economical

Understand how to design agents with predictable cost and latency, so they are usable at scale and acceptable for business.

#cost-control#latency#agent-design#scalability
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RECORD: AGENTIC_DEV_016LEVEL: FOUNDATIONAGENTIC_BYTE

Versioning: How Agents and Knowledge Evolve Safely

Learn how to change agents, prompts, and knowledge without breaking existing behavior or trust.

#versioning#agent-lifecycle#knowledge-management#stability
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RECORD: AGENTIC_DEV_017LEVEL: FOUNDATIONAGENTIC_BYTE

Failure Modes & Fallbacks: What Agents Do When Things Go Wrong

Understand the most common ways agents fail in production and how to design explicit fallback strategies instead of silent breakdowns.

#failure-modes#fallbacks#agent-reliability#production
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RECORD: AGENTIC_DEV_018LEVEL: APPLIEDAGENTIC_BYTE

Single-Agent vs Multi-Agent: When One Brain Is Enough

Understand when a single agent is sufficient and when splitting responsibilities across multiple agents makes systems more reliable and maintainable.

#single-agent#multi-agent#architecture#coordination
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RECORD: AGENTIC_DEV_019LEVEL: APPLIEDAGENTIC_BYTE

Agent Interfaces & Contracts: How Agents Communicate Safely

Understand how agents should communicate with other agents and systems using strict contracts instead of free text.

#agent-interfaces#contracts#multi-agent#architecture
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RECORD: AGENTIC_DEV_022LEVEL: APPLIEDAGENTIC_BYTE

From Bytes to RAG: Assembling an Agent Knowledge Base

Learn how to turn individual bytes into a coherent RAG knowledge base that agents can reliably use in production.

#rag-assembly#knowledge-base#agent-design#scalability
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RECORD: AGENTIC_DEV_023LEVEL: STRATEGICAGENTIC_BYTE

Owning the Knowledge: Turning Bytes into a Personal Moat

Understand how structured agentic bytes become a long-term personal asset you can explain, reuse, sell, and build products on.

#knowledge-ownership#personal-moat#agentic-strategy#leverage
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