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How I use AI agents to automate my workflow and save hours
Practical ways I use open source AI for smarter, faster, and more productive workflows.
AI adoption is growing rapidly, but its impact on daily workflows remains limited. Sheng Liang, co-founder of Acorn Labs, explains how AI can go beyond chatbots to drive real productivity. While tools like ChatGPT are widely used, workplace AI adoption lags. Sheng stresses that AI should support various professionals, not just developers, by enhancing automation, knowledge management, and workflows.
Many users don’t fully grasp AI’s potential. Sheng highlights that prompt engineering is key—well-formed inputs unlock powerful responses, such as auto-generating and grading tests. He also covers retrieval-augmented generation (RAG), which integrates domain knowledge to boost AI accuracy in professional settings.
Sheng introduces Obot, an open source AI agent framework that automates tasks, connects with enterprise applications, and improves efficiency. With memory, task automation, and tool integration, Obot helps professionals create AI-driven workflows. He demonstrates how it streamlines tasks like resume screening, reducing manual work while ensuring quality candidates aren’t overlooked. Available as a SaaS platform and open source project, obot.ai lets companies maintain control over security and customization.
Key takeaways
- AI adoption is still in its early stages in the workplace – While consumer AI tools are popular, AI’s impact on daily workflows remains limited, creating opportunities for better integration.
- Prompt engineering and domain knowledge are critical – Structuring AI interactions effectively and incorporating relevant knowledge bases can significantly enhance AI’s usefulness.
- AI agents can automate and optimize workflows – Tools like Obot demonstrate how AI can assist in repetitive tasks, improving productivity and efficiency across different job roles.
Conclusion
AI has the potential to move beyond simple chat interactions and become an integral part of daily work. Sheng’s insights emphasize the importance of AI agents that incorporate memory, task execution, and tool usage to drive efficiency. With open source solutions like Obot, professionals can customize AI to suit their needs while maintaining control over security and data. As AI adoption grows, the key will be leveraging these tools to create meaningful productivity gains.
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