r/theaiwaves

I genuinely feel AI workflows have become unnecessarily messy now.

You open one tool, then another, then another again just to complete a single task. Half the time goes into switching tabs, comparing outputs, and figuring out which model works better for what.

Recently started using Gen36 AI and the whole AI Superbot concept honestly feels much more practical. 50+ AI models working together in one place, along with research, image generation, workflows, and smart model selection, feels way cleaner than managing separate platforms for everything.

Once everything is connected inside one workspace, normal AI workflows start feeling outdated really fast.

A few weeks ago my browser literally looked like a collection of AI tools

One tab for writing, one for image generation, another for research, another for replies… and after all that, work still felt slow and unorganized.

Then I found Gen36 AI, an AI Superbot that basically combines multiple AI models and tools in one place. I started using it casually at first, but after a few days I noticed I wasn’t wasting time jumping between different websites anymore.

Now I use it for things like content ideas, image generation, research, replies, and random daily tasks without opening 10 different tabs.

The biggest difference honestly isn’t even the money part. It’s how much smoother the workflow feels when everything’s already in one place.

[removed]

Spent the weekend running an identical prompt across GPT 4o, Claude Sonnet, Gemini, and Llama. The fun discovery was not that the answers differed (that was expected). It was how much the prompt that worked best differed.

Same task: “Explain quantum entanglement to a curious 14 year old, then give 3 follow up questions they could ask.”

GPT 4o needed almost no instruction. The default tone landed beautifully.

Claude responded best when I added “warm but not childish.” Tone landed perfectly after that.

Gemini did really well when I added “use one analogy, then explain it.”

Llama improved a lot with explicit format, length, and voice guidance.

I have been doing these comparisons through Gen36 AI lately (the “AI Superbot,” every model in one chat). It makes A/B testing super easy because you do not have to copy and paste across tabs.

Bigger insight I am landing on: prompt engineering is becoming model engineering. The “same prompt” produces the best results when you tune it per model.

How are you all handling this in your workflows?

I recently paid attention to how I actually use AI during a normal work session, and it surprised me.

I always thought my workflow was smooth. I had different tools for different tasks, and it felt structured. But when I started noticing my behavior, I realized how often I was switching between them.

Write something in one tool, jump to another for research, then move again to refine or organize it. Each switch seemed small, but it kept breaking my focus. I also had to repeat context constantly, which made the whole process feel more manual than it should be.

The strange part is that I never saw it as a problem before. It just felt normal.

That made me question whether using multiple tools was actually helping or just adding hidden friction. So I tried simplifying things. I came across Gen36, which is positioned as an AI Superbot, essentially one platform to replace multiple AI tools.

What stood out was how much easier it was to stay in flow. Keeping everything in one place reduced the need to restart my thinking again and again.

It did not feel like a big change at first, but the difference added up over time.

Now I am wondering how common this is. Do you notice how often you switch between tools, or does it just blend into your workflow?

I kept wondering why my AI workflow felt disjointed even though I was using good tools.

Each tool did its job well. One helped with writing, another with research, and another with structuring ideas. On their own, they were solid. But together, something was not working.

The problem showed up in small ways. I had to repeat context across tools, adjust outputs so they matched, and constantly switch between tabs just to complete a single task. It did not feel like a big issue at first, but over time it started to affect my focus.

I realized the issue was not the quality of the tools. It was how disconnected everything was.

That led me to try a different approach. Instead of improving my stack, I tried simplifying it. I came across Gen36, which is positioned as an AI Superbot, essentially one platform to replace multiple AI tools. I wanted to see if keeping everything in one place would make a difference.

What changed was the flow. I was not restarting my thinking every few minutes. Ideas carried forward more naturally, and the work felt more continuous.

It made me rethink how I define an efficient workflow.

Do you think fragmentation is the real issue with most AI setups, or is using multiple tools still the better approach for growth?

I reached a point where my AI setup felt messy, so I decided to organize everything instead of adding more tools.

I grouped them by purpose. Writing tools in one place, research tools in another, and so on. At first, it felt like progress. Everything looked cleaner and more intentional. But after a few days, I noticed something unexpected.

Even though things were organized, the workflow still felt fragmented.

I was still switching between tools constantly. I still had to repeat context, adjust outputs, and piece everything together manually. The structure improved, but the underlying problem stayed the same. I was managing tools instead of focusing on actual work.

That made me rethink the goal. Maybe the issue was not organization, but consolidation.

So I tried a different approach. I started using Gen36, which is positioned as an AI Superbot, essentially one platform to replace multiple AI tools. I was curious if reducing the number of tools would make a bigger difference than organizing them.

What changed was how natural the workflow felt. Keeping everything in one place reduced interruptions and made it easier to stay focused on execution.

It made me realize that organizing complexity is not the same as removing it.

Now I am wondering how others handle this. Do you prefer a well organized stack of tools or a simplified system?

I always assumed my productivity issues came from not using AI tools well enough. Turns out, it might have been the opposite.

I built a setup with multiple AI tools, each one focused on a specific task. Writing, research, planning, idea generation. On paper, it looked efficient. In reality, it created a lot of friction that I did not notice at first.

The biggest problem was constant switching. Every time I moved between tools, I had to restate context, tweak outputs, and mentally reset. These small interruptions added up and made it harder to stay focused. I was busy all the time, but not always moving forward.

It made me question whether having more tools was actually helping. So I tried simplifying instead. I came across Gen36, which is positioned as an AI Superbot, essentially one platform to replace multiple AI tools. I decided to test it just to see if reducing complexity would make any difference.

What changed was not just speed, but clarity. With everything in one place, I could stay in flow longer and actually complete tasks without constant interruptions.

It made me realize that productivity is not just about capability. It is also about how smoothly your workflow operates.

Curious how others approach this. Are multiple tools helping you move faster, or slowing you down without you noticing?

I recently paid attention to how often I switch between AI tools during a normal work session, and the result was honestly worse than I expected.

What felt like a smooth workflow was actually constant jumping. I would start writing in one place, move to another for research, then switch again for refining or structuring ideas. Each step seemed small, but together it created a lot of hidden friction.

The biggest issue was context loss. Every time I switched tools, I had to restate what I was doing or adjust outputs to match my original idea. It was not difficult, but it broke my focus again and again. I realized I was spending more time managing tools than actually making progress.

That made me rethink my setup. Instead of asking which new tool to add, I tried reducing the number I used. That is when I explored Gen36 AI, which presents itself as an AI Superbot, basically one platform to replace multiple AI tools.

What stood out was how much easier it became to stay in flow. Keeping everything in one place reduced the need to restart or reconnect ideas. It felt more like building and less like coordinating.

I am still experimenting with this approach, but it made me question how efficient my old system really was.

How often do you switch between tools in a day, and have you ever tried simplifying it?