🤖 **AI助力高效工作与沟通**：Devpost的业务开发总监Richard Murby利用AI模型（如Google Gemini）优化工作邮件的撰写，确保信息表达清晰且符合预期，从而提升了沟通效率和质量。通过训练模型学习其写作风格和公司背景，AI能够提供实时的反馈和模式学习，使他发送的每一条信息都能清晰地表达其想法。

📅 **AI驱动的智能任务管理**：Murby开发了一个基于命令行界面的AI“执行助手”，取代了传统的看板工具。该助手能够通过对话方式管理任务，并与日历和邮件集成，利用日程和收件箱的真实情境来帮助他优先处理任务。AI甚至可以对任务进行深度研究，并将结果或草拟的邮件直接输入到笔记中，实现了持续的交互式工作流程。

💡 **AI激发创意与解决难题**：Murby将AI视为激发新想法的重要工具。他认为，AI不仅能帮助他更好地完成本职工作，还能在日常使用中发现新的可能性。对于AI应用中遇到的挑战，他指出投入时间进行实验和迭代是关键，就像黑客马拉松一样，需要为测试、失败和学习创造空间，这是发现AI潜力的必要过程。

🚀 **AI赋能非技术用户**：对于非技术背景的用户，Murby建议不必过分纠结于AI的工作原理，而应专注于探索其功能。他强调了在与AI互动时提供清晰、描述性的指令和上下文的重要性。随着经验的积累和AI对用户情境理解的加深，用户将逐渐体会到AI带来的时间和性能上的显著提升。

A version of this story originally appeared in the BI Tech Memo newsletter.Sign up for the weekly BI Tech Memo newsletter here.

I met Richard Murby while waiting in a long line to get into OpenAI's DevDay conference in San Francisco this week. He's the director of business development at Devpost, which helps developers participate in hackathons. I asked Richard how he uses AI. Here are his thoughts, which have been edited for clarity and length.

What do you use AI for at work?

I use AI for three main goals: to help me do my best work, stay organized, and inspire new ideas.

I trained a Google Gemini model on my most effective emails, giving it a large sample of my writing and Devpost context. When drafting important messages, I collaborate with the model to ensure I'm expressing myself as I intend. It's still my tone and ideas, but the model helps me deliver consistently strong communication.

I also built a Google Gemini CLI "Executive Assistant" to replace my visual Kanban board with a markdown-based, conversational task manager. It integrates with my calendar and email via an MCP server, allowing Gemini to help prioritize tasks using real context from my schedule and inbox. It can even run Gemini's Deep Research on a task and feed results or draft emails directly into my notes. The best part is the ongoing dialogue — I see huge potential for expanding this system's functionality.

(CLI = Command Line Interface, a common tool developers use. Kanban boards are project-management tools offered by companies including Atlassian, Asana, and Monday.com.)

What's been your most impactful AI use?

Two stand out. First, Devpost's mission is AI distribution, helping organizations bring tools to developers worldwide. I couldn't advise clients effectively without using these tools daily myself. Second, my writing performance has improved dramatically. Every message I send now represents the clearest articulation of my ideas, thanks to AI's real-time feedback and pattern learning from my past successes.

What hasn't worked?

The hardest part of adopting AI is making time to experiment. You must deliberately think about which tasks can improve with AI and iterate. Some ideas don't pan out, but that's part of discovery. Hackathons work for this reason — they create space to test, fail, and learn, which is essential for developers.

What's your advice for non-technical people?

Don't worry about how AI works, just explore what it can do. Be descriptive in your prompts, ask thoughtful questions, and give context. Results may not come instantly, but as your experience and the AI's context grow, time savings and performance gains will follow.

Sign up for BI's Tech Memo newsletter here. Reach out to me via email at abarr@businessinsider.com.