r/AIToolTalks

Do you actually use more than one AI chatbot, or do you stick with one?

There are so many options now that I keep seeing people switch between different AI tools depending on what they need. One for research, another for coding, another for writing, and so on.

Do you have a whole collection of AI tools, or did you find one that handles almost everything for you?

reddit.com
u/PragatiChoubey2005 — 12 hours ago

Which AI tool do you use more than you expected?

I try a lot of AI tools, but only a few actually become part of my routine. What's the one you keep coming back to?

reddit.com
u/Own-Object-4652 — 2 days ago
▲ 95 r/AIToolTalks+9 crossposts

[Open-Source] Dump your thoughts. Let your notes organize themselves. Ask/chat anytime.

Over the past few weeks I've been building Gray Box — a small, local-first tool that acts as long-term memory for anything I'd otherwise forget (work notes, meeting takeaways, task owners, random ideas, personal stuff too).

The idea is simple:

  1. Capture — dump whatever's on your mind, instantly, no structure required. This step does nothing clever on purpose — it just writes your text to an immutable inbox. Zero chance of losing an idea to a bug or a slow API call.
  2. Organize — on demand, an LLM reads your unprocessed notes and extracts people, projects, tasks, decisions, meetings — then deterministic Python (not the LLM) creates/merges the actual wiki pages and maintains backlinks. The model only reasons; it never touches the filesystem directly.
  3. Ask — query or chat with your knowledge base and get a cited answer pulled only from what you've actually captured. If it doesn't know, it says so — no hallucinated answers.

Why I built it this way:

  • Plain Markdown + YAML frontmatter, no database. Every page is a .md file you can grep, diff, or read in any editor forever. If you stop using Gray Box tomorrow, your knowledge base is just a folder.
  • No vector DB by default. At personal scale (hundreds–low thousands of pages), keyword search + a real link graph (related/backlinks, walked one hop during retrieval) handles almost everything. Embeddings are there if you want better recall, but they're opt-in, not a prerequisite.
  • Immutable inbox. Your raw notes are never edited or deleted by the organizer. If the LLM mis-extracts something, your original words are always still there.
  • Any LLM. Built on LiteLLM, so point it at OpenAI, Anthropic, Gemini, Mistral, or a fully local model via Ollama — one config value.

It also ships with a nice interactive TUI (arrow-key menu, file-import shortcut, workspace switching, live spinner during LLM calls) if you'd rather not memorize CLI flags — that's honestly become my favorite part of the project.

There's also a lightweight local dashboard for browsing your knowledge base, exploring backlinks, visualizing your notes as a graph, and chatting with your captured knowledge—all without leaving your machine.

Repo: https://github.com/Aaryanverma/graybox

pypi: pip install graybox

I'd genuinely love feedback — especially from anyone who's tried the "capture now, structure later" approach with other tools and has opinions on where it breaks down at scale.

It's not trying to be a "real-time collaborative team wiki" or a WYSIWYG notes app — it's aimed at one person's running memory of their own life and work, captured with as little friction as possible.

u/Charming_Group_2950 — 3 days ago

ChatGPT Does Not Actually Know What It Is Talking About

I have noticed that people on Reddit and elsewhere have started treating ChatGPT like some kind of intelligent source of truth. They ask it questions, get a convincing answer, and then act like they have discovered something profound.

I think that is a mistake.

ChatGPT is extremely good at producing human sounding text, but that is not the same as actually understanding what it says.

When a person writes something, there is an intention behind it. They have an idea they want to communicate and choose their words accordingly. ChatGPT does not have that same intention. It generates responses based on patterns it has learned.

For example, if you ask it to review *Star Wars: A New Hope*, it can produce a pretty convincing review. But it does not actually understand why the practical effects were impressive for their time, how the movie fits into the history of filmmaking, or why certain creative choices work. It is essentially combining patterns from the huge amount of writing that already exists about the movie.

And that is the problem.

If the information it is drawing from is wrong, biased, or overly enthusiastic, the answer can reflect that too.

I think people often project their own expectations onto ChatGPT. We see something that sounds intelligent, so we assume there is genuine understanding behind it.

It is like a parrot that learns to repeat a phrase because doing so gets a reaction. The sound is real, but the meaning we hear in it might mostly be something we are adding ourselves.

ChatGPT is impressive. I am not arguing against that.

I am just saying that we should stop confusing convincing language with actual knowledge or understanding.

reddit.com
u/PragatiChoubey2005 — 3 days ago

Anyone else use AI when they cannot find the right words?

Sometimes I know exactly what I am trying to say, but getting the wording right takes way longer than it should.

AI has become my quick way of turning a messy thought into something understandable.

Anyone else do this?

reddit.com
u/Tiny-Ad-4509 — 4 days ago

What is one AI use that genuinely saves you time?

There is a lot of talk about AI changing everything, but I am more curious about the simple ways people are actually using it every day.

For me, AI has become useful for breaking down complicated articles, explaining unfamiliar topics, and helping me get a quick understanding without spending hours going through dense material.

Curious what everyone else is using it for. Is there a specific AI tool, prompt, or workflow that has become genuinely useful in your daily routine?

reddit.com
u/Material-Debate-6316 — 4 days ago

AI tools that made a task noticeably faster

Forget the flashy demos for a minute.

What is one ordinary task that became significantly faster after you started using an AI tool for it?

reddit.com
u/PragatiChoubey2005 — 6 days ago

Anyone found a good AI tool for turning audio into notes?

I have seen plenty of transcription tools, but I am more interested in something that can take a messy recording and turn it into useful notes.

Would be helpful for meetings, lectures, interviews, or even random voice recordings.

reddit.com
u/Own-Object-4652 — 8 days ago

Anyone using AI tools to make everyday decisions?

I am curious about the less obvious ways people use AI.

Things like comparing options, planning something, choosing between products, organizing a schedule, or even deciding what to learn next.

Has AI become part of your decision-making process?

reddit.com
u/Material-Debate-6316 — 7 days ago

Which AI tool would you pay for without hesitation?

AI subscriptions can add up pretty quickly, so I'm curious which ones people actually consider worth paying for.

Which tool gives you enough value to justify the price?

reddit.com
u/Tiny-Ad-4509 — 11 days ago