"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."
"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."
A Google Gemini model was trained on a large sample of effective emails and Devpost context to collaborate during drafting, preserving original tone while improving clarity and consistency. A Google Gemini CLI "Executive Assistant" was built to replace a visual Kanban with a markdown-based, conversational task manager integrated with calendar and email via an MCP server. The assistant prioritizes tasks using real schedule and inbox context, runs Gemini's Deep Research on tasks, and feeds findings or drafted emails directly into notes. Daily use of these AI tools supports advising clients and markedly improves writing performance. The main adoption barrier is finding time to experiment.
Read at Business Insider
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