A(G)I and you: how much of your own work can you automate?

AI tools and models like GPT-5.5 are becoming more capable across coding, writing, research, operations, design, analysis, and many other workflows. I’m curious how far people here are getting in practice: How much of your own work can you automate today? Are you mostly automating tasks where you already have professional judgment, or using AI for support tasks outside your core expertise? Where does the remaining work show up? Is it review, correction, integration, accountability, domain knowledge, taste, or edge cases? Is the hardest part still at the end, or is it spread throughout your workflow? As these tools mature, cost could become part of the discussion too. If today’s usage benefits from subsidized inference costs, which workflows would you still consider worth paying for at closer to real cost? Looking forward to what you want to share!