👎🏼 Cons
- Free version is very limited, real use needs a paid plan.
- Less control than full editors (Premiere, CapCut etc.).
- Works best for talking‑head videos, not complex footage.

Would you use an AI like this to batch your short‑form content, or do you still prefer editing everything by hand?

✨ Pros
- Very fast: turns 1h videos into many shorts in minutes.
- Easy to use: upload, choose a template, get clips.
- Auto‑captions and vertical format ready for TikTok/Reels/Shorts.
- Good for talk‑videos like podcasts, interviews, lectures.

totally agree! ✍🏼

Would you trade depth for speed when studying, or do you prefer slower but more detailed tools? 👀

Pros: super fast, one-click Chrome extension, nice for lectures & interviews in 40+ languages.

Cons: summaries stay pretty shallow, no real customization, and the good stuff sits behind a paid plan.

• Noticeably better text rendering inside images
• Built-in structured prompts that help prevent broken or low-quality results

What do you think about this update? Have you tried it yet? 👀

#ChatGPT #AIImages #AIDesign

• One unified model for image creation and editing
• Automatic image grids to compare multiple variations at once
• Direct in-chat image edits by describing what should change
• Stronger visual consistency when iterating on a selected image

So… what would you rather use: a tool made for structured research or one that’s more creative & flexible? 👀

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.

👇🏼👇🏼👇🏼

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.

👀 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? 👀

👇🏼 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.

👇🏼 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.

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.

❓Which matters more to you: having tons of language options or getting higher quality translations?

✏️ 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.

• 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.)

• 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 👇🏼

✅ 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.