r/AIToolCompare

I've noticed I'm spending way too much time deciding which AI to use instead of actually using AI.ChatGPT, Claude, Gemini, Perplexity, Veo, Midjourney... Everyone says they're amazing, but for a specific task it's often unclear which one is actually the best. So I built a small side project called AIscout. You describe what you want to do, and it recommends the best AI tools for that task. For larger projects, it can also suggest a simple workflow. Still very much an MVP, but I've found myself using it surprisingly often.

Curious what you think — is choosing the right AI becoming a problem for anyone else?

While tools like ChatGPT, Claude, and Gemini get most of the attention, there are plenty of lesser known AI tools that are quietly making a real difference.

Whether it's helping with coding, research, design, automation, writing, or productivity, there's always that one tool people don't hear about enough.

Which underrated AI tool has become a regular part of your workflow, and what makes it worth recommending to others?

I've tried quite a few AI tools lately, and some of the lesser-known ones ended up being more useful than the popular names.

What's one AI tool that genuinely surprised you, and what do you actually use it for?

I'm always looking for practical recommendations beyond the usual ChatGPT, Gemini, and Claude

I keep going back to doing certain things manually because I don't trust AI to get them right. Curious if anyone found something that actually works — or if you tried stuff and it wasn't worth it. What'd you try?

So currently I'm using Gemini Pro because of the one-year-free subscription for students, but I'm not really satisfied with it. I think it's good at giving you tutorials, but really bad at making summaries etc.

Now I want to switch to either Claude or ChatGPT (Codex), but I'm not sure which one I should choose. It's not only about coding, I need a good tool to create summaries, understand concepts, topics of the lectures and so on. Coding too, but It's not the only focus. Just a strong allrounder to support me pass my studies.

I heard Claude is a beast at analyzing class materials and creating summaries, as well as coding. But it's expensive (token-wise)?

Any suggestions or what are you using and are you satisfied with it?

Thanks :)

Hi everyone, I am building a product similar to Lovable. I am mostly done with the AI agentic part and now I'm working on other features and integrations. I want to understand what kind of problems people are facing who are using the products like lovable, bolt etc..so I can make them work in the product I am building

Please give me your feedback on different products you used what they are lacking and you think good to have which solve problems for you

Thanks

AI has improved rapidly over the past year, especially in coding, reasoning, and multimodal tasks. At the same time, it still struggles with things like hallucinations, consistency, and reliability in certain situations.

What's one feature or capability that genuinely exceeded your expectations? And what's one thing you thought AI would have solved by now but still hasn't?

Curious what actually frustrates people here day to day.

Not "what would be cool" — I mean the boring stuff you still handle by hand because the existing tools either don't do it, or do it badly and you don't trust them.

Two questions:

1. What repetitive task do you do almost every day that you wish an agent just handled for you?
2. Have you tried a tool for it already? What made you stop using it / go back to doing it yourself?

Trying to understand where the real gaps are vs. the hype. Will share what I find back with the sub.

Everyone talks about coding assistants and chatbots, but I'm curious about the less obvious use cases.

What's one AI capability or workflow that you think deserves more attention, and why?

Benchmarks rank the model. But on a real team, the variable that actually moves output is the person steering it — and nobody measures that. "I'm good with AI" is an unprovable line on a CV. I wanted a scoreboard for the wielder.

So I built a prototype. The design:

• Two devs, one fresh problem, live. Each drives their own model over MCP — works with anything: local Llama/Qwen/DeepSeek/GLM/Kimi or hosted Claude/GPT.
• The solution is executed against tests — no LLM-as-judge (judges get gamed). Pass/fail is mechanical.
• Winner = fewest human-authorized moves, recorded on a hash-chained, tamper-evident log.
• Per-model leaderboards. A Glicko rating per model so it's skill-vs-skill, not compute-vs-compute. Cross-model duels settle the rest.
• No money, no stakes. The rank is the only reward — a public, verifiable record.

First real 2-player duel ran this week: both attacked "find the N+1 query," the verifier rejected the first answer (missed the batch-load) and accepted the rigorous one. Felt right.

The better question:

Which IT workflow is creating the biggest operational bottleneck?

A lot of organizations jump straight to finding an AI tool, but the teams seeing the strongest results take a different approach. They start by identifying where IT operations are losing the most time, creating the most risk, or slowing the business down, then they build AI around those workflows.

Some of the highest-value starting points are:

• Event correlation
• Incident triage
• Ticket enrichment
• Root cause analysis
• Low-risk automated remediation

Deploy AIOps to Improve IT Operations

The biggest mistake is treating AIOps as a technology project instead of an operations strategy. Align AI with business goals first, prioritize a few measurable use cases, define what success looks like, then scale once those workflows are proven.

AI doesn't fix broken IT processes. It amplifies good ones.

Blueprint: Deploy AIOps to Improve IT Operations.

Just a fun question for everyone here. 

Sometimes I honestly think about how deeply ChatGPT has become part of our daily life. Sometimes we need to write a message, sometimes we need an idea, sometimes we want to correct a sentence, and sometimes we just want to clear a small doubt. So without thinking, we instantly open ChatGPT. 

This made me think one day: if ChatGPT suddenly stops tomorrow, what will we do? Which AI tool will we choose as our main tool? At that time, one line came to my mind - “Ab Tera kya Hoga Kaliyaan”...because once you get used to something this much, it feels hard to imagine life without it.

There are many AI tools available now, but the real question is which one is actually useful and which one we can trust. Sometimes it feels like in the digital world, there is a solution for every problem - we just need to know the right tool.

I really want to know which AI tool you use and why. Maybe your answers will help me discover some new tools too.

I’m using AI video tools for short ads and social posts, and honestly I care more about consistency than getting one crazy good clip.

Runway, Pika, Kling, PixVerse, Veo all look good in demos, but when I actually use them, it’s still pretty hit or miss. Sometimes the style changes, sometimes the motion gets weird, sometimes I just have to rerun it too many times.

Most of my use case is simple: product images or basic ideas into short clips. Nothing cinematic, just something clean and usable.

I’ve seen Dreamina mentioned a few times for image-to-video stuff, especially when people care more about repeatable results than flashy outputs. Haven’t seen it discussed as much as the bigger names though.

What tool has been the least annoying for consistent results?

Been meaning to write this for a while. Not a hype post, just genuinely walking through what's helped versus what I tried and dropped.

I used to lose a lot of time staring at a blank page before starting anything creative, so now I throw a rough idea at AI first and react to what comes back instead of starting from nothing. It's also become my go-to for first drafts on the small daily writing I do, captions, notes, descriptions, since I'd rather shape the tone myself than write from zero every time. Beyond that, I think in a pretty scattered way, so feeding my messy notes and half-formed thoughts into AI and asking it to find the actual structure has saved me hours of untangling my own brain. And before I share anything that matters, I've started asking it to poke holes in it first, which has caught a few cringe moments before they happened.

None of this replaced the actual creative decisions, it just removed a lot of the friction that used to sit before the real work even started.

What's actually stuck for others doing similar work?