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r/TopAITools4U

▲ 5 r/TopAITools4U

Unrestricted AI?

Does anybody know a truly "unrestricted AI" I'm trying to build an AI client follow up tool for telegram, and maybe other chat platforms aswell. The problem here is that with claude code, it was going well for the first 4 hours building it. Claude was compliant, advised me on what to do and what the next steps are. The problem came when building the actual code for the tool. Claude backed off completetly, and left me with a "my fault", as it explained it's against ToS of telegram. Is there an AI that can do this follow up / client outreach tool without this problem

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u/LeastCommunication12 — 18 hours ago
▲ 4 r/TopAITools4U+1 crossposts

Are AI tools actually profitable, or are we just building for free trial users?

There are thousands of AI tools and AI solutions launching every month.

Most of them offer free trials, freemium plans, or very generous free usage to attract users. But I keep wondering: how many of these users actually convert into paying customers?

Even for very strong AI products, it seems like a large percentage of users still stay on free plans, switch between tools, or only pay for one or two “core” subscriptions.

So my question is: Can the AI tools market actually make money at scale?

A few questions I’ve been thinking about:

  • Are most AI tools sustainable businesses, or just temporary products built on top of model APIs?
  • What types of AI tools are users truly willing to pay for?
  • Is the market too crowded with similar solutions?
  • Do free trials help conversion, or do they train users to avoid paying?
  • Will only a few infrastructure/platform-level companies capture most of the value?
  • For smaller AI tool builders, what is the realistic path to revenue?

Personally, I feel like AI tools that are tied to a clear business outcome may have a better chance than general “productivity” tools.

But I’d love to hear from others:

Have you paid for any AI tools recently? What made you pay? And what made you stop paying for others?

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u/Senior-Chard-8872 — 6 days ago
▲ 2 r/TopAITools4U

What AI tool category feels too crowded right now?

Some AI tool categories feel extremely crowded at this point.

For example:

  • AI writing tools
  • AI meeting note tools
  • AI website builders
  • AI coding assistants
  • AI image/video generators
  • AI customer support bots
  • AI automation tools

Which category do you think has too many similar products already?

And on the other side, which category still feels underserved?

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u/Senior-Chard-8872 — 9 days ago
▲ 6 r/TopAITools4U

What makes you trust an AI tool enough to pay for it?

With so many AI tools offering free trials or freemium plans, I’m curious what actually makes people decide to pay.

Is it:

  • Better output quality?
  • Saves enough time?
  • Good UX?
  • Reliable results?
  • Integration with your existing workflow?
  • Clear pricing?
  • Team features?
  • Data privacy?
  • Something else?

What was the last AI tool you paid for, and what convinced you?

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u/Senior-Chard-8872 — 10 days ago
▲ 37 r/TopAITools4U+11 crossposts

Custom tools for JoeBro: a macOS native AI workspace. API calls, MCP servers, plugins. Zero dependencies, open source.

I built JoeBro, a native macOS AI workspace that bundles its own Python backend inside the `.app` file. Standard library only. Zero third-party packages. You can grab it from the .dmg in the repo releases, or clone the repo, open the Xcode project, and hit Build. Either way works.

The new Tools tab has three tiers, all surfaced to the model in Agent mode as callable functions.

API Tools give any JSON endpoint straight to the model. You give it a URL, a name, a description, and optionally an API key and a method. Put `{query}` anywhere in the URL and the model input gets dropped in right there. The description tells the model when to call it. A weather API gets called when someone asks about the weather. A HackerNews search when the topic is tech. It just works.

MCP Servers are the Model Context Protocol over stdio. The app launches the server, discovers its tools, and offers them to the model. The connection is stateless. Spawn, initialize, call, kill. No long-running processes. No zombie children. There is a hard wall clock timeout on every interaction so a broken server never hangs a turn. The git MCP server returns real diffs. The model calls it, the server spawns, it runs, it dies, the diff comes back.

Plugins are the third tier. They are folders on disk that can ship their own tools, memory, and agent logic. They can be foreground (active tools the model can invoke) or background (guardrails that shape every turn). The bundled one is the macOS Use plugin. Dependency free. It controls the Mac through osascript and screencapture. No node module, no Python package, no Docker image. It calls System Events directly and the model can use it to open apps, click buttons, and take screenshots.

The agent calls memory, tasks, calendar, and plugins in one conversation. Looks like any other chat.

Search any public database right in chat. LinkedIn, Crunchbase, GitHub, you name it. Point API Tools at any JSON endpoint and the model calls it like a native function. No curated list — anything with a URL works.

Chats themselves can now be sorted into folders. Keep your side projects separate from work, or separate by topic. Just drag and drop.

The backend is still zero dependencies. But, based on some great advice from people on here, it is not one file anymore though. It grew to the point where that stopped making sense. So I split it into sibling modules. `jb_core.py` is the shared library. `jb_tools.py` handles every tool path including the custom ones. `jb_chat.py` has the agent loop. `jb_assistant.py` has memory, skills, tasks, and deep research. `jb_email.py`, `jb_calendar.py`, `jb_docs.py`, `jb_files.py`, `jb_models.py`. Still standard library only. Still zero pip install commands. Still one Xcode project, one Build, and it runs.

The tool dispatch in `jb_tools.py` routes every path in one place. Native function calls, XML tool blocks, custom API tools, MCP servers, plugins, macOS use. It is all there. The MCP client is stateless with a background reader thread so a hanging subprocess can never block a request. Every server interaction has a hard deadline. If it does not reply in time, the process gets killed and reaped and the turn continues.

Full repo: https://github.com/joexk1/JoeBro

Still open source. Still GPLv3. Still no telemetry, no account, no phoning home.

u/joexk1 — 10 days ago
▲ 2 r/TopAITools4U

Do you prefer all-in-one AI platforms or specialized AI tools?

I’ve noticed two different trends in AI products:

Some tools try to become an all-in-one workspace.

Others focus on doing one specific thing extremely well.

Which type do you prefer?

For example:

  • One platform for writing, coding, research, images, automation, etc.
  • Separate tools for each use case, but each one is best-in-class

I’m curious which approach people actually prefer in daily work, and why.

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u/Senior-Chard-8872 — 11 days ago
▲ 2 r/TopAITools4U+1 crossposts

Looking for free prototyping tools to make vibe coding more accurate

I’ve been vibe coding an app recently, but I keep running into one issue: the generated result doesn’t always match what I had in mind.

I can describe the feature flow, layout, and interactions in the prompt, but the AI builder sometimes interprets the UI differently, especially when there are multiple screens or more complex user flows.

So I’m thinking it might be better to create a simple prototype or wireframe first, then use that as a clearer visual reference when prompting the coding tool.

I’m looking for free or generous-free-tier prototyping tools that can help with:

- Quick app/page wireframes

- Basic user flows

- Clickable prototypes or screen-to-screen navigation

- Exporting screenshots or specs that I can give to an AI coding tool

- Low learning curve, ideally not too design-heavy

I’m not looking for anything enterprise-level. I just want something that helps me turn an idea into a clearer visual structure before I start generating the app.

For people who vibe code apps: do you usually create prototypes first? Which free tools have worked best for you? And have you found that giving the AI screenshots/prototypes improves the final result?

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u/Senior-Chard-8872 — 11 days ago