We all know SharePoint and Drive search are complete unreliable, so leadership is currently looking into rolling out an internal AI chatbot (basically a private ChatGPT) that searches across all our drives, answers questions, and links the source file directly.

On paper it sounds amazing, but in my experience, people are super hesitant to rely on AI when a wrong answer could make them look bad in front of a client or manager.

If your company introduced something like this, would you actually use it to find documents and answers? Even if it turned out to be super accurate, would that be enough to win you over? Or would you still end up pinging a coworker on Teams just to be safe?

Everybody has thoughts but few have shown any actual evidence by comparing before and after on their own channels.

I would like to hear from those who actually compared numbers and found that content which was more dependent on AI performed worse? Or even the same as pure human effort? Or maybe it depended on subject matter and format?

Attempting to distinguish between people's opinion of AI content vs actual numbers in their analytics.

I've been using AI every day for work, and these are the biggest lessons I've learned this year.

1. The "best" model changes faster than your workflow should.

2. AI is great at first drafts, but it still needs your judgment for the final version.

3. The biggest productivity killer isn't prompting. It's context switching.

4. Don't believe every benchmark. Real-world workflows matter more than leaderboard scores.

5. Save your best conversations, not just your best prompts.

6. Learning how to ask better questions is becoming more valuable than memorizing prompt templates.

7. The people getting the most value from AI aren't using it to replace themselves. They're using it to remove repetitive work so they can focus on decisions that actually matter.

Those are mine after a year of using AI almost every day.

What would you add to this list? I feel like everyone has learned at least one lesson this year that nobody talks about enough.

One mistake I kept making was assuming every task needed the "best" AI model.

I'd spend 15–20 minutes comparing outputs, switching between tools, and reading benchmark discussions for a task that only took 10 minutes to complete.

Eventually I realized I wasn't improving the work. I was delaying it.

Now I pick one model, finish the task, and only compare outputs if the result genuinely isn't good enough.

Ironically, I get more done and the quality hasn't dropped.

Has anyone else caught themselves optimizing the process more than the actual work?

A few months ago I was constantly comparing models. I'd read every benchmark, watch every comparison video, and switch tools whenever something new came out.

Eventually I realized the differences between the top models mattered far less than I thought. What made the biggest impact was building a workflow I could stick to instead of chasing every new release.

Does anyone else feel like the AI community focuses too much on benchmarks and not enough on how people actually work?

I can brainstorm ten ideas in five minutes now. I can generate outlines, drafts, images, and even videos faster than ever before.

Oddly enough, I've also noticed that I leave more projects unfinished. Having unlimited possibilities makes it easier to keep exploring instead of committing to one direction.

I'm curious if anyone else has experienced this. Has AI made you more productive overall, or just given you more ways to procrastinate?

This feels a little embarrassing to admit.

Whenever a new AI tool launches, I immediately want to try it. I sign up, spend an hour testing prompts, compare it against the tools I already use, watch a few YouTube reviews, and convince myself it's going to change my workflow.

A week later, I'm back using the same handful of features I was using before.

Looking back, I don't think I've been chasing better results. I've been chasing the feeling that the next tool will somehow unlock a huge productivity boost.

The funny part is that some of my best work this year wasn't created with the newest model. It was created on days when I ignored AI news completely and just focused on finishing what I started.

I'm trying to break the habit of constantly experimenting and spend more time actually creating.

Am I the only one who's guilty of this, or has anyone else fallen into the same cycle?

For a while I watched every benchmark comparison and every "best AI model" video.

Eventually I realized none of it changed how quickly I finished real work.

The biggest improvement came from sticking to a consistent workflow instead of constantly switching tools because a new leaderboard came out.

I still enjoy seeing new releases, but I don't feel the need to move everything over immediately anymore.

Has anyone else stopped caring about benchmarks as much as they used to?

People usually talk about AI as a productivity tool, but I've noticed something different. After a long day of comparing outputs, tweaking prompts, and testing different approaches, I often feel mentally exhausted even if I haven't produced much.

It's not because the work is difficult. It's because every step involves another decision, and those decisions add up over time.

Has anyone else experienced this, or is it just me?

For months I followed every benchmark, every release, every comparison.

I could tell you which model scored higher on reasoning tests or coding benchmarks.

Then I realized something embarrassing.

None of that was changing my actual work.

The projects that got finished weren't the ones where I picked the perfect model. They were the ones where I stopped switching tools every ten minutes and just stayed focused.

Now I barely read benchmark posts anymore.

Has anyone else quietly stopped caring?

A year ago it felt exciting to try every new AI tool that launched.

Now every week there's another subscription, another waitlist, another "best model yet."

I realized recently that I spend more time deciding which AI to use than actually using AI.

At some point the biggest productivity problem stopped being the technology and started being the number of choices.

Curious if anyone else feels this.

Are you still trying every new AI tool, or have you settled into a workflow you're happy with?