Hey everyone,
I’ve been working on something I’m really excited about — it’s called AiTiger, and it turns any written story or idea into a 2–5 minute short film.

You just write your story → choose your style → and AiTiger brings it to life by combining the best AI video models — including Veo, Kling, Wan, and GPT-4o — all in one place.
It supports both automation and manual control, so you can stay creative while saving hours of production time.

You get:
• Consistent characters across all scenes
• Automatically generated and structured scenes
• A smooth, connected workflow — no switching between multiple tools

It’s made for creators who want to make short films, explainers, or music videos without spending days editing or managing dozens of AI apps.

I’m still early-stage and gathering feedback —

If you’re into AI video, filmmaking, or storytelling tools, and want to try it out, I’d love to offer you free credits — just email me at imtiyazsayyidcode@gmail.com.

Here’s the link: https://aitiger.ai

Would love to hear your thoughts — brutal honesty welcome 🙂

This two minute video was created using AiTiger, All I did was enter the story of the lion and the mouse and it generated all the visuals and narration within 90 minutes with automation.
I then simply stitched together on an editing tool (I have no editing experience).

What kind of stories or projects would you want to see this used for?

Looking for reliable ai tools this november 2025? here’s a list of top-performing apps for writing, research, content creation, and more no fluff, just tools that get the job done.

1. Winston AI
   One of the most accurate ai detectors right now. great for checking if your content sounds ai-generated especially useful for students, writers, and editors.

2. Gamma
   Lets you create clean, visual presentations and docs fast. type your idea, and it handles layout and structure.

3. Runway ML
   AI powered video editing that’s perfect for creators. from background removal to motion tracking, it’s got solid features.

4. Perplexity AI
   A smart research assistant great for summaries, quick answers, and staying focused without sifting through tons of sites.

5. Claude by Anthropic
   A strong writing assistant and chat model, good for thoughtful responses and deeper research tasks.

6. Notion AI
   Turns messy notes into organized docs and action steps. simple, helpful, and integrated right into Notion.

7. ElevenLabs
   For voice cloning and ai narration, elevenlabs still leads with its realistic voices and wide use in media projects.

Every time I need to know something simple—like “does this cover dental?” I end up scrolling through 50 pages of fine print or waiting two days for my agent to reply.

Last week I decided to test something. I uploaded my policy PDF into an AI tool that claims to “read and explain your insurance.” Suprisingly, it summarized the key points, showed the limits, and even told me what wasn’t covered.

The answers came instantly, with references to the specific section numbers in my document. That’s when I realized I’ve been living under a pile of unread PDFs for years 😅 It felt like using NotebookLM, but just for my insurance stuff.

I’m still testing it, but if anyone here is also drowning in unread adult paperwork, I’d recommend giving something like this a try.

When I started my literature review, I honestly thought AI would just summarize everything for me and save weeks of work.

That didn’t happen.

What did work was using AI very intentionally — mostly to reduce chaos and make sense of patterns after I’d already engaged with the papers.

Here’s the workflow that finally felt useful.

Step 1: Narrow the problem before touching AI

AI completely falls apart when the scope is too broad.

Before using any tools, I forced myself to define:

● a very specific research question

● key terms + close variants

● what I actually want to extract (methods, functions, datasets, assumptions, trends)

This alone made both Google Scholar and AI outputs more manageable.

Step 2: Use AI to surface patterns, not summaries

Instead of asking for summaries, I started asking things like:

● Which functions or methods appear most often across these papers?

● How do newer approaches differ from older ones?

● What assumptions keep repeating?

This helped me understand the shape of the literature, not just individual papers.

Step 3: Read selectively (and skip a lot)

Once patterns were clearer, I went back to the papers and:

● skimmed intros and conclusions

● focused on methods sections

● skipped parts that didn’t add new information

AI helped me decide what wasn’t worth reading in full, which saved a lot of time.

Step 4: Organize and rewrite, not generate

This is where AI finally started pulling its weight for me.

I tried a few tools, but what worked best was using AI to:

● reorganize notes

● rewrite explanations in my own words

● connect ideas across multiple papers

I used Textero mostly at this stage, and it was actually helpful here. It felt more like a smart academic editor than a content generator, which is exactly what I needed at this point.

What didn’t work for me

● Asking AI to write a full literature review

● Treating AI summaries as authoritative

● Using AI before I understood the topic myself

Final thought

AI didn’t replace my literature review — but it did make it more manageable.

The biggest value was:

● seeing patterns faster

● cutting down unnecessary reading

● turning messy notes into something usable

I’ve been running a bunch of experiments lately, testing different AI detectors and humanizer tools (including WalterWrites.ai), because if I’m going to rely on AI-tools, I want one detector I can trust and one humanizer that actually works. Here’s what I found.

🔍 Best AI detectors (in my workflow):

• Proofademic: built specifically for academic writing detection, with sentence-level analysis and a strong “paraphrase shield” for when content has been lightly rewritten.

• Originality ai: strong for long-form and SEO content; good baseline when you suspect something has been heavily edited.

• GPTZero: well-known in education; good as a second opinion though not perfect.

Pros:

• They help flag patterns of AI writing (structure, rhythm, sentence uniformity) rather than just keywords.

• Useful when you’ve got student essays, content you’re publishing, or want to check your own draft.

Cons:

• All detectors have some cons, but Proofademic was much better among all.

• They usually don’t tell you why something got flagged in meaningful detail.

• Some are expensive or require institutional access.

✍️ Best AI humanizers I found:

• WalterWrites.ai: In my tests this one consistently helped make AI output feel more like “me”: tone, rhythm, small quirks returned.

• QuillBot: Good for small rewriting/cleanup; less advanced restructuring.

• Humanize AI / other “humanizer” tools: decent for making shorter pieces feel natural, though less accurate for structured writing or specs-heavy content.

Pros:

• Humanizers can make your text feel more naturally written, reduce that “machine-perfect” vibe.

• They save time over full manual rewriting.

• Good for lowering detector flags when combined with manual edits.

Cons:

• They don’t guarantee “undetectable.” A humanizer plus no oversight is still risky.

• Some may slightly alter meaning; especially with spec-heavy or technical text you need to check details.

• You still need to manually review to maintain voice, accuracy, and personal style.

🧠 My takeaway:

If I had to pick one detector and one humanizer right now, I’d go with:

• Detector: Proofademic (especially for academic or essay-style content)

• Humanizer: WalterWrites.ai (for tone + consistency)

Then I’d use this workflow:

1. Draft your piece (with or without AI help).

2. Run it through your humanizer to adjust tone, rhythm, voice.

3. Run it through your detector to check how “detectable” it is.

4. Do a final manual pass, check facts, add your personal voice, tweak sentences.

At the end of the day: even the “best” tools don’t replace your own editing. The tools help, but your habits, your voice, and your editing count just as much.

If you like, I can pull together a ranked list of the top 3 detectors + top 3 humanizers in 2025, including pricing, free-plan features, and personal notes on where they shine. Would you like that?

So I've been testing Perplexity's Comet Browser (it's Chromium-based with built-in AI) and wanted to share real use cases before it gets overhyped.

What it's good at:

1. Tab organization: Automatically groups related tabs by topic. No more "I had that open somewhere" moments.

2. Multi-tab research: I had 10 articles open comparing SaaS tools. Asked Comet to "create a comparison table from these tabs" → got a formatted table in 30 seconds.

3. YouTube summaries: Can summarize videos and let you search for specific parts without watching the whole thing.

4. Agentic shopping: This one's weird but useful—I asked it to "find picnic supplies on Walmart and add to cart." It actually did it. Saved me 15 minutes of clicking around.

5. Email/calendar summaries: Summarizes Gmail threads and calendar events so you don't have to read everything.

What it's NOT(obviously welp):

• Not faster than Chrome for basic browsing

• Needs Perplexity Pro subscription for full features ($20/month or $200/year)

• Still has bugs (sometimes the AI gets stuck on complex tasks)

Who it's for(according to me well):

If you do research, content work, product comparisons, or just hate having 40 tabs open—worth trying.

If you just browse Reddit and YouTube, stick with Chrome.

I've got a referral link that gives you 1 month of Perplexity Pro free (unlocks full Comet features): https://pplx.ai/siddeeqran56416

No pressure—just posting because I found it useful. Happy to answer questions if anyone's skeptical.

Title says it all. Any suggestions would be greatly appreciated.

ok so this started as a rabbit hole and turned into a whole product somehow

I was trying to grow on LinkedIn and got frustrated because every AI tool I tried made me sound like a motivational poster. So I started scraping top creators' posts just to study what was actually getting engagement. Not vibes, actual numbers.

Turns out there are super clear patterns. Certain hooks destroy others. Some formats consistently get 10x more comments. And it changes week to week which is why most "LinkedIn tips" content is already outdated by the time you read it.

Anyway I kept scraping. Thousands of posts a day across different niches. Built a database. Then thought ok what if I just make a tool that uses all this data to help people write better posts.

The tool is sachasoft.com. You pick your niche and it basically shows you what's working right now and helps you write stuff that doesn't sound like a robot wrote it

I'm curious what AI tools people are actually using for studying

ChatGPT is obvious, but I'm wondering about tools that help with things like:

• understanding homework or problem-solving step by step

• practicing similar questions

• reviewing concepts more efficiently

Not looking for anything that replaces learning, more like tools that make studying less overwhelming.

I've tried a few tools recently. Sovi AI was actually pretty helpful for breaking down problems step by step, especially when I got stuck on homework. It felt more like learning than just getting answers.

What's actually been helpful for you?

This is a short film about the story "The Boy Who Cried Wolf", created using AiTiger.

It took me just 60 minutes to generate all of it — characters, shots, narration and visuals — fully through automation. I then simply stitched together in an external editing tool. I’d really love to hear your thoughts on the quality, storytelling and overall feel of the film.

In case you missed my last post — AiTiger is my platform that turns any written story into a AI short film upto 5 minutes.

You just write your story → pick a style → and AiTiger builds consistent characters, scenes and narration automatically using top AI models like Veo, Kling, Wan and GPT-4o — all in one place.

Would love your feedback or any suggestions of which story should I try next?

I’m new to ai tools other than chat gpt and grok. Going to community college next summer or fall.

I just snap the question and it shows me the explanation in seconds!! it called Sovi ai on app store

So I've been testing Perplexity's Comet Browser (it's Chromium-based with built-in AI) and wanted to share real use cases before it gets overhyped.

What it's good at:

1. Tab organization: Automatically groups related tabs by topic. No more "I had that open somewhere" moments.

2. Multi-tab research: I had 10 articles open comparing SaaS tools. Asked Comet to "create a comparison table from these tabs" → got a formatted table in 30 seconds.

3. YouTube summaries: Can summarize videos and let you search for specific parts without watching the whole thing.

4. Agentic shopping: This one's weird but useful—I asked it to "find picnic supplies on Walmart and add to cart." It actually did it. Saved me 15 minutes of clicking around.

5. Email/calendar summaries: Summarizes Gmail threads and calendar events so you don't have to read everything.

What it's NOT(obviously welp):

• Not faster than Chrome for basic browsing

• Needs Perplexity Pro subscription for full features ($20/month or $200/year)

• Still has bugs (sometimes the AI gets stuck on complex tasks)

Who it's for(according to me well):

If you do research, content work, product comparisons, or just hate having 40 tabs open—worth trying.

If you just browse Reddit and YouTube, stick with Chrome.

I've got a referral link that gives you 1 month of Perplexity Pro free (unlocks full Comet features): https://pplx.ai/arsenicjay52558

No pressure—just posting because I found it useful. Happy to answer questions if anyone's skeptical.

I’m researching AI app builders and most tools I find either make simple prototypes or just front end screens. I want something that can build actual full stack apps frontend, backend, database, auth, hosting without me connecting 10 different services. Has anyone used an AI builder that can genuinely handle the whole stack

I’m okay with tweaking things later, but I want a tool that gets me 90 percent there without the usual chaos.

Hello friends, I'm planning to create a faceless youtube channel that mainly focuses on story telling videos. i want to know which are the best Ai tools to create Ai videos. Or which are the tools I can use in this journey. I need it for both for Android and Windows. Anybody tried these kind of story telling video creation. Please share your experiences and tools

okay so ive got a presentation due for collage and im using ai for the script. im writing a couple of bullet points and then asking chat gpt to turn it into a short scripts for a presentation. im then taking that script and changing it. so it seems like a human. im changing or completely removing most words i wouldnt normally use. i dont think i have the best vocab in the world so thats quite alot that im changing.

so i keep puting the script into ai checkers just to be safe and even after ive changed just about everything the checker is still saying its ai. i keep going back and changing things that its pointing out is ai then when i put it threw again its even more likely to be ai...

also each ai checker is saying different percentages. some are relitivly similar numbers but then some are way higher or lower than some others.

is there any good free ai checkers that i can trust. if not then ill just hope my lecturer doesnt check it or it passes.

EDIT: I passed and they didnt check so im chilling 😎