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@asvnym.bsky.social
AI student | Testing AI tools,
sharing results & quick insights 🧠
#AI #MachineLearning
So… what would you rather use: a tool made for structured research or one that’s more creative & flexible? 👀
December 9, 2025 at 4:41 PM
Free version:
NotebookLM is way more generous with 50 sources per notebook vs.

Anara’s 10 uploads per day.

Use Case:
Anara feels more “academic workspace.”

NotebookLM is better for learning new stuff creatively.

👇🏼👇🏼👇🏼
December 9, 2025 at 4:41 PM
Outputs:
Anara = text-focused (with clickable PDF citations).

NotebookLM = adds podcasts, mind maps, summaries and flashcards.

AI Options:
Anara lets you pick your AI model (GPT, Claude, Gemini).

NotebookLM only uses Gemini.
December 9, 2025 at 4:41 PM
👀 Final vibe

confusing at the start, kinda cozy later on. Good inside Notion, but not strong enough to be your only AI.

Now my Question for you: Is having a “good enough” AI directly in your study app worth more to you than using a stronger but separate AI tool? 👀
December 7, 2025 at 10:35 AM
👇🏼 The downsides

- Writing quality is fine, but there are stronger tools if you need really polished work.
- Not made for deep research or complex reasoning, so you still have to think for yourself.
- Feels more like a small boost than a full study or planning solution.
December 7, 2025 at 10:35 AM
👇🏼 For studying

- Cleans up messy lecture notes and makes them easier to revise.
- Summarizes long texts and helps structure essays or project ideas when you’re tired.
- Makes chaotic group project notes more readable for everyone.
December 7, 2025 at 10:35 AM
1️⃣ First contact

Felt a bit overwhelming with all the options and slash commands, but after a while it clicks and starts to feel natural. Once you get over that hump, it’s nice that the AI is just there in your notes instead of in a separate tool.
December 7, 2025 at 10:35 AM
❓Which matters more to you: having tons of language options or getting higher quality translations?
November 26, 2025 at 8:27 PM
✏️ My take
If you translate mostly between common European languages and want quality (e.g. for essays, uni-work, etc.), DeepL is normally the smarter choice. If you need lots of languages or quick “on-the-go” translations, Google Translate still makes sense.
November 26, 2025 at 8:27 PM
• Google Translate supports many more languages, so it’s better if you need less common or exotic languages.
• For quick, casual, or multi-language translation tasks (e.g. travel, chatting, etc), Google Translate’s broad coverage and speed matter (DeepL may not even support certain languages.)
November 26, 2025 at 8:27 PM
• When DeepL supports the language pair, it tends to produce fewer translation errors and needs less post-editing.

⚠️ Where Google Translate still has advantages and DeepL shows its limits 👇🏼
November 26, 2025 at 8:27 PM
✅ Where DeepL is clearly stronger

• For common European languages, DeepL usually gives more natural-sounding, context-aware translations than Google Translate.
• DeepL handles idioms, sentence flow and tone more reliably ->important if you translate essays, reports or other longer/formal texts.
November 26, 2025 at 8:27 PM
Cons:
• Can still hallucinate → sounds right, but isn’t.
• Quality depends on the sources it pulls from.
• Occasional vague answers → sometimes too general
• Not reliable enough for strict academic citations.

Which AI tool do you use most for research?
November 17, 2025 at 9:41 PM
Pros:
• Real-time web access → always fresh info.
• Clear source citations → easy to verify.
• Smooth conversational research → follows your reasoning.
• Multiple AI models → switch depending on your task.
• Saves time → summarizes instead of sending you through 20 tabs.
November 17, 2025 at 9:41 PM
Overall:
For students or anyone handling lots of material, NotebookLM can save time and help you grasp the core ideas, as long as you don’t stop thinking for yourself.

Now my question for you: Is speed worth it if you lose depth?

#NotebookLM #AItools #StudentUse
November 14, 2025 at 3:46 PM
What’s weak:
• Doesn’t cover everything: context and nuance often get lost.
• Some summaries sound confident but skip details or sources. Can never replace a real lecture in university.
• Not ideal for deep research or citation-heavy work.
November 14, 2025 at 3:46 PM
What’s good:
• Explains complex topics clearly, great if you miss a lecture or need a fast recap.
• Audio summaries make it easier to absorb key points without re-reading everything.
• Helps connect ideas across multiple documents.
November 14, 2025 at 3:46 PM
Thank you so much! Stay tuned 👀
November 12, 2025 at 7:33 PM
still trying to figure it out tbh 👀😭
November 11, 2025 at 5:50 PM
Each post will cover one tool: short and honest.

If you‘re also trying to figure out where AI fits into everyday life or if it should at all, stay tuned. Let’s see how much of the hype actually works in real life! ✍🏼

#AI #uniproject
November 9, 2025 at 2:01 PM