AI Agents in Action: A Guide to Building Agentic AI Workflows
Blog post from Encord
In 2024, agentic AI systems are transforming industries by automating complex workflows and enhancing decision-making processes. These advanced AI models possess autonomy, enabling them to make decisions and execute actions with minimal human intervention. Agentic AI refers to artificial intelligence systems with autonomy, decision-making capabilities, and adaptability. The evolution of agentic AI is poised to revolutionize various sectors through advancements in multi-agent collaboration, integration with emerging technologies, and enhanced human-agent partnerships. Frameworks like AutoGen, CrewAI, AgentGPT, and MetaGPT are providing tools to design, deploy, and optimize agentic systems for various applications. The future of agentic AI lies in the seamless integration of multi-agent systems, emerging technologies, and human collaboration, paving the way for more autonomous and intelligent systems.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 50 | 1,153 | 180 | 82 | +43% |
| Multi-agent systems | 18 | 130 | 28 | 19 | +20% |
| LLM | 4 | 2,935 | 490 | 159 | -13% |
| Real-time | 4 | 3,433 | 868 | 240 | -4% |
| Reinforcement learning | 2 | 44 | 29 | 17 | +29% |
| Data Pipeline | 1 | 712 | 188 | 78 | +47% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.