r/AIToolTesting

Would love to hear what people have tried and what actually works.

I went down a rabbit hole testing AI girlfriend apps. Thought it'd be dumb, but the differences were real.

**My comparison criteria for be͏st AI girlfriend:**

==================================================

* **Memory:** Does it remember things from earlier in the conversation or previous days?

* **Conversation flow:** Natural and responsive, or scripted and robotic?

* **Personality depth:** Feels unique and consistent, or generic and flat?

* **Visuals vs. substance:** Relying on looks, or actually engaging to talk to?

* **Response timing:** Instant but robotic, or slightly slower but more human?

**What I found on AI girlfriend apps:**

=======================================

* **Candy:** Good visual customization, but conversation can feel repetitive after extended use. Better for looks than depth

* **Our Dream:** Excellent memory that actually persists across sessions. Feels more emotionally aware. Mostly text-based, voice is limited .

* **Kindroid**: Heavy customization with realistic "selfies" and social feed. Memory is strong. Can be overwhelming to set up .

* **Character:** Great for roleplay and variety, but resets every session, no long-term memory. Feels like starting over each time

**Bottom line:** Memory + personality + natural flow > looks.

Anyone else tes͏ted with similar criteria? What's the best AI girlfriend you've tried?

I run a small-scale business, and lately it feels like everything is getting harder to manage. On top of that, my personal situation isn’t very stable, so hiring a personal assistant isn’t really an option for me right now.

Because of that, I’ve been looking into AI tools—not in a hype way, just trying to see if anything can actually help with daily routines.

Most of what I tried felt pretty basic. Either just chat responses or generic suggestions that don’t really stick.

But then I randomly came across something like (Macaron AI) while exploring, and it confused me a bit in a different way.

It didn’t just reply with suggestions. I gave it a simple instruction about organizing my day, and it created something that looked more like a structured routine or a basic planner setup.

It felt less like “here are some tips” and more like “here’s a system you can follow.”

From what I understood, it tries to turn short prompts into actual usable setups—like schedules, task flows, or simple tracking systems.

There are some obvious positives. It saves time on setting things up manually, and if you’re someone juggling multiple things, it kind of reduces that scattered feeling.

But I’m not fully convinced yet.

It’s not very clear how consistent it stays over time, or how flexible it is when things change. It also feels early, like it works in simple cases but might struggle with more complex or messy real-life situations.

I also keep wondering—is this actually replacing productivity tools, or just reorganizing the same tasks in a different format?

I’ve only tested it briefly, so I might be missing something.

Curious if anyone here has tried tools that turn prompts into routines or systems like this.

Does it actually hold up in real use, or does it start to fall apart after a while?

And are you using anything better for this kind of thing?

Feels like there are way too many AI tools now for content, keyword research, audits, tracking, and all the rest.

If you had to keep just one in your workflow, what would it be?

Mostly curious what people are actually using on a regular basis, not just tools that looked good for 10 minutes

Hi guys,

I'm testing seedance 2.0 to create AI UGC videos but i'm struggling with the audio track.

Let me explain: I'm testing seedance in multiple platforms (higgsfield, dreamina, ecc) and I'm giving him an italian text but it continues to mispronounce some words...

are you facing the same problem?

How have you fixed it?

I moved to Findymail about 6 months ago and its been pretty smooth for email finding. The chrome extension works well and I like that they focus just on emails instead of trying to be everything.

My main gripe is the pricing feels steep for what you get. Almost 300 bucks a month for 10k verified emails when you compare to other tools. also had some issues with their api rate limits when trying to bulk enrich our crm data. my manager keeps asking me to justify the spend and honestly its getting harder to.

accuracy wise its decent, probably around 85-90% which is good enough for cold outreach. the verification is built in which saves time vs having to use a separate tool.

been testing a few findymail alternatives lately to see if i can get better value. Apollo has more features but the contact data quality is hit or miss. tried Prospeo recently and the accuracy seems better plus you get mobile numbers too which Findymail doesnt do. also looked at Lusha briefly but their credits system felt confusing.

anyone else switch away from Findymail? curious what you landed on and if the grass is actually greener

Hey all, I’m trying to find an AI platform that can actually help me run my day, not just answer questions.

Right now I’m juggling a fulltime job + a couple of side projects, so everything is kind of scattered, tasks, ideas, responsibilities, things I need to follow up on

I’ve been using Google Gemini and Claude, and they’re great for thinking/writing, but I’m running into a few problems: Chats keep piling up, No real day planning, Context gets fragmented

I'm in the testing phase, so would love to hear what you’re using and how you set it up 🙏

I do enough ugly Excel work by hand that I felt like I had a pretty good baseline for testing this. I wanted to see whether an AI spreadsheet tool could actually save time on formula heavy work, or just create a different kind of cleanup.

One of the test cases was a multi-condition lookup that I’d normally write by hand with something ugly like:

=IFERROR(INDEX($B$2:$B$500,MATCH(1,(D2=$A$2:$A$500)*(E2=$C$2:$C$500),0)),"")

Instead of building it manually, I described the logic in natural language and had AI generate the formula. I also tried a simpler prompt like add a column that calculates profit margin as a percentage of revenue. And then I tested it on a messier sales sheet by asking it to sort by region and add subtotals for each group.

My honest takeaway:

• For simple formulas, manual was still faster.
• For longer or more annoying formulas, getting a first draft from plain English was actually useful.
• It did a better job using sheet headers/context than I expected.
• I still had to verify everything, because spreadsheet errors can look correct for a while.

The biggest value for me was more that it helped in the annoying middle zone where the logic is clear, but the syntax or setup is tedious.

So right now my verdict is that AI tools for Excel/spreadsheets are helpful for drafting formulas and handling some cleanup/setup, but not something I’d trust blindly, and definitely not faster than manual work for simple stuff.

When Sora became effectively inaccessible to most users and Grok pulled back on free video credits, I expected the community to fragment and lose momentum. That did not happen. Instead there was a rapid consolidation around a smaller set of tools and the quality of output on this sub has honestly gotten better over the past few months. Want to share where I landed and what my reasoning was.

My base stack is now Kling 3.0 for complex multi subject scenes and Seedance 2.0 for individual character focused work. These two cover probably 90 percent of what I was doing with Sora and Grok, with tradeoffs.

Kling 3.0 versus what I used to do on Sora: Kling 3.0 is better at maintaining environmental coherence across a scene. Crowded street scenes, anything with multiple elements in motion, Kling handles it more reliably. Where Sora had an edge was in a certain filmic softness to the motion. Kling can look sharp almost to a fault. There is a slight hyperreal quality to Kling motion that Sora did not have. For some content this is a feature. For naturalistic content it requires more prompt work to dial back.

Seedance 2.0 versus what I was doing on Grok: Grok video was always more of a fun experiment than a serious production tool for me. Seedance 2.0 is a genuine step up in output quality for human subject content. The motion physics for people specifically, how they walk, turn, handle objects, is more believable in Seedance than anything I was running on Grok. The tradeoff is that Seedance is more sensitive to prompt quality. Vague prompts produce vague results in a way that Grok was slightly more forgiving about.

On pricing, the concern I see in this sub is valid. Seedance pricing in particular is inconsistent depending on where you access it. The same model at different resolution settings through different interfaces can be wildly different in cost per generation. Worth spending a few hours doing a cost per usable second analysis before committing to a workflow. I ended up settling on a pipeline that keeps generation costs predictable before I queue a batch. I use Atlabs as my production layer partly for this reason since it surfaces cost estimates before committing to a generation run, which has saved me real money in wasted credits.

The honest question for this sub: are we at a point where model quality is plateauing and the gains are going to come from tooling and workflow rather than raw generation quality?

I ask because looking at what Kling 3.0 and Seedance 2.0 are doing, the ceiling feels high. Not because the models are perfect but because the gap between what they produce and what human videography produces is close enough now that most viewers cannot reliably distinguish them on short clips. The improvements in recent model updates are incremental. The improvements from better editing practice and better prompting discipline are still significant.

One thing I did not expect: the creator skill gap has actually widened as the models have gotten better. In the early days of AI video a good prompt could compensate for most creative weaknesses. Now that the models are strong, the creators who understand shot composition, pacing, and narrative structure are producing work that is noticeably better than creators who are just prompting harder. The tool improvement exposed the skill gap rather than eliminating it.

Happy to go into specifics on prompt structure or workflow. Also curious what other tools people are using that are not on my radar. Are people finding anything in the smaller model tier that holds up for actual production use or is that mostly still demo quality?

I’ve been hearing more about AI-driven search lately, and it’s making me rethink how content actually needs to be written now especially in B2B.

Feels like this is where why generative search changes everything for B2B marketing starts to become real. It’s not just about ranking pages anymore it’s about being structured in a way that makes your content easy for AI systems to extract, trust, and reuse.

Curious if anyone else is actively building or restructuring content specifically for AI engines, or seeing the same shift in how leads are coming in?

After spending days testing a bunch of AI image and video platforms, I gotta say… the lack of transparency is actually insane.

You look at their pricing pages and it’s all smoke and mirrors. They don’t tell you the real cost per generation for most models, hide how many credits things actually use, and you only find out how much you got charged once the video is done (or fails).

Like bro… imagine going to Amazon, buying something, and only finding out the price when it arrives at your door? 😂 That shit should be illegal.

And don’t even get me started on customer support, most of them have none. Video fails because of their technical issues? Good luck getting your credits back.

Honestly, a lot of these services feel like straight-up cash grabs. Some are borderline scams.

So... Not looking for local setups (I don’t have a NASA PC), just want honest recommendations from people who’ve actually used them. But explain why it’s actually good (pricing transparency, credit system, support, etc.).

Any real ones worth paying for? Drop them below (No shady links/bots drops please)👇

your agent has two completely different jobs and it's terrible at one of them

job 1: thinking and executing

job 2: actually knowing things

most people build agents that try to do both in one loop and wonder why it falls apart on niche topics

the split that's working:

outer loop — Hermes Agent

decisions. execution. task management. personal memory. the brain that acts.

inner loop — llm wiki compiler by AtomicMem

everything the brain actually knows. structured wiki. semantic search. source citations on every paragraph. compounds automatically every session.

the 10x engineer in every dev team has been yelling about separation of concerns for years turns out it applies to agent architecture too he was right and we hate it , the part builders should pay attention to:. AtomicMem built llm-wiki as forkable open infrastructure building a legal research skill for Hermes? fork it medical knowledge layer? fork it client knowledge base? fork it coding docs assistant? fork it Hermes already has 70+ skills and a growing community hub knowledge layer skills are the gap nobody is filling right now v0.2.0 just shipped with semantic search, MCP server, source citations, Obsidian integration, automated linting, multi-provider support the knowledge layer problem for agents is solve you just have to use it. what domain would you build a knowledge skill for first?

Hey I'm looking for an uncensored chatbot that is NOT advertised as "spicy", "character-based", nor for "rollplay"

I want just an unfiltered LLM that tells the truth without trying to be politically correct, I should be able to as it concerning questions for

I was very hopeful about Grok, however it does not live up to the the marketing, it still has guardrails.

I also tried Venice, however the model feels weak, no where close to the power of ChatGPT

I also looked into some ablated models on hugging face like Dolphin, but 8B is too small, and I would rather it be pre-hosted for me

It would also be nice if there was an API, but not a requirement

Hermes already has a solid execution layer — 70+ skills across a bunch of categories. What feels missing is a strong knowledge layer. Memory is handled natively, but structured external knowledge (research bases, domain-specific info, niche datasets) is still pretty thin across community skills. One standout I found is llm-wiki-compiler by AtomicMem. It’s a clean example of what a proper knowledge skill could look like:

• citations per paragraph
• built-in quality checks
• semantic search
• Obsidian integration
• multi-provider support
• agents can read/write via MCP

What’s interesting is it’s designed to be forked and adapted, not rebuilt from scratch.Feels like a lot of domains are still open here:

• legal
• medical
• finance
• niche communities
• client-specific systems
• dev docs

Given how the skills hub is growing, early knowledge-layer builds in these areas seem underexplored.