Instead of an abstract, top-down AI strategy, a practical starting point is to identify the most tedious, repetitive tasks your team performs. Focusing automation efforts on these "chores" provides a tangible win, builds momentum, and offers a low-risk environment for learning AI tools.

Treat your agent as a productivity coach by asking it meta-questions like "What have I been procrastinating on?" or "What tool can you build me tonight?". The agent uses its memory of your tasks and habits to proactively suggest improvements and automations.

Instead of using AI for one-off tasks, teach it your goals and weekly workload. Then, pose a strategic question: "How can you help me save five hours this week?" The AI will analyze your tasks and suggest specific ways to automate or delegate, making time reclamation the primary goal.

If you're unsure where to start with AI, begin with self-diagnosis. Tell the AI your role, describe your daily calendar and tasks, and ask it to identify where it can help. LLMs excel at pattern matching and can reflect back opportunities for automation you might have missed.

Instead of struggling to find use cases for a new AI tool, instruct the agent to analyze your existing workflows in apps like Slack, Gmail, and Notion. The agent can then propose personalized, high-value automations, effectively telling you how to best use it for your specific needs.

To find tasks ripe for AI automation, simply screen record yourself performing a repetitive, hour-long task. Then, upload the video to a multimodal LLM like Gemini 3 and ask it what parts can be automated and how much time you could save. This provides concrete, actionable suggestions.

To begin automating work with AI, record yourself performing a task on video (e.g., using Loom) while narrating the process. An AI can then analyze the transcript to identify the repeatable steps and logic, which forms the basis for building a custom, automated "skill" that mirrors your workflow.

To discover prime candidates for automation, record a screen video of yourself performing a repetitive, manual task. You can upload this video (up to an hour long) to Google Gemini, which will analyze the workflow, break it down into steps, and provide a concrete plan for how to automate it.

Use AI on your own process to accelerate client work. Record discovery calls, generate transcripts, and feed them into an LLM. Ask it to identify the highest-value automation opportunities and map out the step-by-step workflow based on the client's own words.