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Useful guide on AI agents & systems, have a look. I've listed imp points in brief below. 1. 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗠𝘂𝗹𝘁𝗶𝗺𝗼𝗱𝗮𝗹 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 • Text Generation • Image Generation • Video Generation • Audio/Music Generation • Code Generation 𝗠𝗮𝗸𝗶𝗻𝗴 𝗚𝗲𝗻𝗔𝗜 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 • Prompt Engineering • Hallucination Mitigation • Retrieval-Augmented Generation (RAG) • Output Validation 𝗥𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗜𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 • Tool Use & Function Calling • Speech Interfaces (TTS & ASR) • Frameworks & Runtimes 𝗚𝗼𝗮𝗹: Create useful, reliable AI outputs. _________________ 2. 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 (𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗪𝗼𝗿𝗸𝗲𝗿𝘀) 𝗣𝗹𝗮𝗻𝗻𝗶𝗻𝗴 & 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 • Task Scheduling & Prioritization • Goal Decomposition • Autonomous Execution • Dynamic Tooling • Failure Recovery & Replanning 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 • Context Management (state & history) • Memory Systems (short-term & long-term) 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗢𝘃𝗲𝗿𝘀𝗶𝗴𝗵𝘁 • Human-in-the-Loop Oversight • Self-Reflection & Error Recovery • Tool Orchestration (plugins/actions) • Agent Marketplaces & Contracts 𝗚𝗼𝗮𝗹: AI completes tasks independently. _________________ 3. 𝗔𝗴𝗲𝗻𝘁 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 (𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲) Agents begin working together and improving. • Agent Protocols • Intent Preservation • Agent Coordination & Communication • Multi-Agent Collaboration • State Persistence • Planning Methods (ReAct, CoT, ToT) • Rollback Mechanisms • Feedback Loops & Evaluators • Self-Improving Agents • Feedback Loops 𝗚𝗼𝗮𝗹: Teams of AI agents solving complex workflows. _________________ 4. 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 (𝗙𝘂𝗹𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻) 𝗟𝗼𝗻𝗴-𝗧𝗲𝗿𝗺 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝘆 • Long-term Goal Chaining • Delegation & Handoff Protocols 𝗦𝘆𝘀𝘁𝗲𝗺 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 • Observability & Tracing • Cost & Resource Management 𝗦𝗮𝗳𝗲𝘁𝘆 & 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 • Governance, Safety & Guardrails • Memory Governance & Retention Policies • Risk Management & Constraints 𝗚𝗼𝗮𝗹: Automate complete workflows end-to-end. _________________ 5. 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗙𝘂𝘁𝘂𝗿𝗲 The long-term direction of Agentic AI. • Policies • Ethics • Regulation • Future AI ecosystems Models will generate. Systems will deliver. Agents will execute. The real power lies in stacking these layers together. ✅ Repost for people in your network who are learning AI.