Mar 5
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If you want to build production AI agents in 2026 that survive hallucination, prompt injection, memory drift, and orchestration mismatch, this is your exact 10-step tech stack, battle-tested across 400+ agents in 12 industries. Watch me go from zero to production AI Agents in 10 steps using LangGraph, CrewAI, PydanticAI, HuggingFace and Unsloth — accelerated with NotebookLM, Google Gems and CrewAI Studio. I cover 17 LLM reasoning and planning methods, a 9-type memory taxonomy, multi-agent orchestration, voice agents with ElevenLabs, Prompt tuning and Prefix tunning, fine-tuning with LoRA, RAG for tool selection (80% accuracy boost), and the 3 monitoring signals that caught a €200K hallucination nobody noticed for 11 days — everything a real AI engineer needs to ship production agents that don't die. A Complete AI Architecture. Perfect for developers, AI Engineers, MLOPS engineers, and AI practitioners building real-world agentic systems and AI Workflow. » ♕ 𝗙𝗿𝗲𝗲 𝗚𝘂𝗶𝗱𝗲 + 𝗙𝗿𝗲𝗲 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: https://www.maryammiradi.com/free-ai-agents-training?utm_source=youtube_desc » ♔ 𝟱-𝗶𝗻-𝟭 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 (𝟱𝟲% 𝗢𝗙𝗙): https://www.maryammiradi.com/ai-agents-mastery?utm_source=youtube_desc ⚙️ TOOLS AND FRAMEWORKS USED • Orchestration: LangGraph (State Graphs) and CrewAI. • Data Strategy: Google NotebookLM and Google Gems for converting unstructured logistic manuals into structured business intelligence. • Logic & Validation: PydanticAI for schema enforcement and JSON compliance. • Model Optimization: Unsloth, LoRA, and Hugging Face for non-negotiable behavior tuning. • Memory & Infrastructure: ChromaDB, FAISS, and ElevenLabs (Voice). • Deployment & Ops: Gradio for lightweight GUIs and LangSmith/LangFuse for observability. 🛠️ ALGORITHMS AND METHODOLOGIES • 17 Reasoning Methods: Chain-of-Thought · Self-Consistency · ReAct · Reflection · Graph of Thoughts · Tree of Thoughts · ReWoo · LM Compiler · Hierarchical Planning · Plan-and-Execute · LATS · Adaptive Planning · Automated Planning · Self-Refined Reasoning · Algorithm of Thoughts · Deliberate Strategic Planning · RAG for Tools • 9-Type Memory Taxonomy: Implementing Short-term, Long-term, Sensory, Working, Episodic, Semantic, Procedural, Strategic, and Cache memory systems. • 3-Layer Evaluation: Robust production testing using Unit Evals, Integration Evals, and Adversarial Evals. • Production Failures: Memory Poisoning · Memory Drift · Context Stuffing · Retrieval Hallucination · Memory Conflicts · Cache Staleness • Agent Tuning: Grounding · Prefix Tuning · LoRA Fine-Tuning · DSPy Prompt Optimization • Hallucination Mitigation: Chain-of-Verification · JSON Enforcement · Human-in-the-Loop · 28 more in free guide • 3-Layer Evaluation: Unit Evals · Integration Evals · Adversarial Evals · Prompt Injection Testing • Monitoring Signals: Schema Compliance · Tool Call Success Rate · Latency Per Agent Node • Multi-Agent Patterns: LangGraph Supervisor · CrewAI Collaboration · OpenAI Swarm Handoff 🔑 KEY FINDINGS • The Hallucination Gap • Verification ROI • Tool Selection Precision • System Stability 🎓 FREE TRAINING: I made one module of my AI Agents Mastery course free - 30 minutes zero-to-hero deep dive on building production AI agents: https://www.maryammiradi.com/free-ai-agents-training 📚 RELATED VIDEOS: End to End Production Legal AI Agents (MCP, Google ADK, Docling) https://youtu.be/bdm110l06ME?si=-zoyZf0EDmFn16zl End to End Supply Chain AI Agents (Gemini 3 Pro Vision, DeepSeek v3.2, LangGraph) https://youtu.be/CwsodI_M08o?si=yO3aCINQPE4wU07M 🕒 CHAPTERS 00:00 Intro: How to Survive Production AI Failures 00:33 Step 0: Business Understanding (NotebookLM & Gems) 02:30 Step 1: Defining AI Agents Roles using CrewAI Studio 04:20 Step 2: Structured I/O & Validation with PydanticAI 06:26 Step 3: Grounding, Prompt Tuning , Fine-tuning with Unsloth 09:04 Step 4: The 17 Reasoning Methods & Tool RAG 14:07 Step 5: Multi-Agent State Graphs in LangGraph 16:14 Step 6: The 9-Type Memory Taxonomy 20:40 Step 7: Adding Voice (ElevenLabs) & Vision (Gemini / GPT) 22:48 Step 8: Expert-Level Output Formatting 24:19 Step 9: Lightweight Deployment via Gradio 25:36 Step 10: Evaluation, LLM Hallucination Mitigation & Monitoring 28:10 Bonus: 9 Real-World Industry Projects to Build #aiagents #langgraph #aiengineer #deepseek #ai #langgraph #chromdb #rag #multiagentsystems #multiagent #visionai #python #aiengineering #vectordatabases #realworldai #gradio #gpt5 #pydantic #aiengineering #gemini3pro #deepseek #aiagents #gemini3 #geminiai #llm #rag #agenticai #aiengineering #multiagentsystems #aiarchitecture #aiprojects #aiusecases #langchain #crewai #chromadb #vectordatabases #airoadmap #python #largelanguagemodels #machinelearning #aiprojects