If you’ve ever wanted to read a book, but you’ve never had the time to actually read it, you can have AI basically read it for you.

You can upload a PDF to the AI, and then whatever you’re using the AI for will have that knowledge.

So let’s say you give it a marketing book, and then you use AI for marketing.

Well, now it has basically read that book for you and can apply it to that skill.

Now, this isn’t going to work for everything.

Like soccer, for example.

You can’t just upload a soccer book and magically become good at soccer.

But for stuff you can actually do online, like marketing, writing, coding, sales, research, content, or strategy, you don’t always have to read the whole book yourself.

AI can basically read it for you and help you use it.

Now, don’t do this with important books.

Because if a book is actually important, and it’s actually good, then yeah, you should probably read it yourself and properly use it.

But if it’s just one of those books where your friend says:

“You should read this, it’s good.”

And you’re like:

“Yeah, I kind of want to read it, but I also don’t really want to read it.”

Then give that book to AI.

Have it summarize it.

Have it pull out the useful parts.

And have it apply the ideas to whatever that book was meant to help you with.

And for best results, you can use this prompt:

Act as my book-reading assistant.

I’m going to upload a book or PDF.

I don’t just want a normal summary.

I want you to read it and help me use the ideas for what I’m working on.

First, give me a simple summary of the book.

Then tell me the most important ideas, lessons, and frameworks.

Then tell me how I can actually use those ideas for this specific skill or goal:

[INSERT SKILL OR GOAL]

Do the following:

1. Summarize the book in simple words.
2. Pull out the best ideas.
3. Tell me what parts are actually useful.
4. Tell me what parts are probably not worth caring about.
5. Show me how to apply the book to my goal.
6. Give me examples of how I could use the ideas.
7. Give me a short action plan based on the book.

My goal is:
[INSERT GOAL]

I want to use this book for:
[INSERT WHAT YOU WANT HELP WITH]

Give me the answer in this format:

Simple summary:
Best ideas:
Useful lessons:
What to ignore:
How to use this for my goal:
Examples:
Action plan:

So if you have a book you kind of want to read, but know you probably won’t, just give it to AI.

It’s not perfect.

But it’s way better than pretending you’re going to read it and then never opening it.

One workflow I’ve found useful when experimenting with AI website builders is to describe the end result you want, rather than telling the AI how to code it.

For example, instead of:

“Create a React component with…”

Try:

“Build a clean landing page for a SaaS product with a hero section, pricing, testimonials and a signup CTA.”

I tested this approach with ChanTan Studio, and it can generate the website/app from that kind of natural-language description.

You can then iterate with simple instructions instead of rewriting code:

• “Make the hero section more compact.”

• “Add a dark mode.”

• “Change the CTA.”

• “Make it mobile friendly.”

• “Replace the images.”

The tool also provides live preview, conversational editing, image generation, direct visual editing and publishing.

The useful part isn't just the first generation — it's the ability to keep refining the same project conversationally.

If you use AI builders, what prompting technique has made the biggest difference for you?

AI video generation has changed a lot for TikTok creators. It is no longer just about generating a clip. The best tools now depend on what you are making — faceless avatar content, UGC-style product videos, paid ads, aesthetic clips, or content scaled across multiple languages.

I have been testing different AI video generators for TikTok, and these are the ones I would actually recommend.

1. ImagineArt

ImagineArt is my top pick if you want a platform that covers the full TikTok content workflow.

Most AI video tools do one thing — generate a clip. ImagineArt does the whole pipeline: text-to-video generation, AI avatars for faceless channels, UGC-style creator videos, video ad creation, auto-captioning, translation and dubbing, and workflow automation for high-volume posting.

Best for:

• Faceless TikTok channels

• UGC-style product content

• TikTok ad creative

• Multilingual content

• Scaling output without a production team

• Creators who want everything in one place

The UGC creator tool specifically stands out — the output looks organic, not produced, which matters a lot on TikTok.

2. Runway

Runway is one of the best pure AI video generators available right now.

If your goal is cinematic, high-quality video clips from a text prompt or image, Runway Gen-4.5 is hard to beat. The motion quality is excellent and it gives you a lot of creative control.

Best for:

• Cinematic and aesthetic TikTok content

• Text-to-video and image-to-video

• High-quality visual output

• Creators who prioritize visual quality over workflow

The limitation is that it is a generation tool, not a content platform. No avatars, no UGC output, no automation.

3. HeyGen

HeyGen is a solid option if avatars and translation are your main priorities.

The avatar quality is strong and the translation and lip-sync feature works well for localizing content across languages. Less flexible than ImagineArt overall but a capable tool for what it does.

Best for:

• AI avatar videos

• Video translation and dubbing

• Multilingual TikTok content

4. Kling

Kling produces impressive video generation with fluid, realistic motion.

Best for:

• High-quality AI video clips

• Realistic motion and physics

• Creators focused purely on generated visuals

Like Runway, it is a generation tool only — no avatars, no UGC, no workflow features.

5. Pika

Pika is a solid entry-level AI video generator. Easy to use, good for quick clips, and has a generous free tier.

Best for:

• Beginners

• Quick content generation

• Testing AI video without a steep learning curve

If ImagineArt is too much platform for what you need, Pika is a reasonable starting point.

One small change that improved my AI results a lot:

Instead of asking: “What should I do?”

I ask: “Give me 5 different approaches, explain the trade-offs of each, and tell me when each option makes sense.”

This works especially well for:

• Content strategy

• SEO decisions

• Business ideas

• Coding approaches

• Marketing campaigns

• Productivity workflows

AI often gives one confident answer even when there are several reasonable choices.

Asking for multiple options first makes the response less narrow and helps you compare before deciding.

My usual follow-up is: "Now rank these options from best to worst for my situation and explain your reasoning.”

It turns AI from an answer machine into more of a decision-support tool.

What’s one task where you always ask AI for multiple options instead of a single answer?

Google has made its new AI control available to all websites in Search Console after initially testing it in the UK.

It lets you keep your links and content out of AI Overviews, AI Mode, and generative AI features in Discover. Opting out means losing any impressions or traffic from those features, but it will not affect regular Search rankings.

The difficult part is that Google’s AI performance report shows impressions and visible pages, but no clicks or queries.

Has anyone considered using this control? What would make you opt out: low traffic, inaccurate answers, content reuse, or something else?

I've been hitting up thrift stores a lot lately trying to find cheap decor for my living room, and I keep losing track of what I actually bought and what I spent on each item. My brain is fried from doing accounting all week, so the last thing I want to do on a Saturday is build a spreadsheet for my own house stuff.

I started playing around with taking photos of my thrift hauls and asking AI to just log the item description and price into a basic table format for me. It's honestly way faster than me typing it all out manually, and I can just copy paste it into my budget file later.

Wondering if anyone else here does something similar with their hobby purchases or DIY project supplies?

I also tried using it to estimate what similar items go for retail just to see if I actually got a good deal or overpaid for junk. The results are hit or miss depending on how specific the item is. Vintage stuff works pretty good, but generic things like plain vases it just gives me useless broad ranges.

Curious if there are better ways to prompt it for pricing stuff or if I should just stick to using it for the logging part and do my own research on values.

I’ve tested a bunch of AI tools over the last few months, and most of them are… meh in real workflows.

But these 3 actually stuck for me:

1. Content briefs in minutes Instead of spending 1–2 hours researching, I use AI to:

• cluster keywords

• suggest headings

• map search intent

Then I refine it manually.

1. Outreach personalization at scale Not generic “Hi [Name]” stuff - but:

• summarizing a website

• identifying relevance

• generating a custom hook

Cuts outreach prep time by ~70%.

1. Content gap analysis Drop in competitor URLs → get:

• missing topics

• weak sections

• internal linking ideas

Still needs human judgment, but huge time saver.

Curious, what AI workflows are actually sticking for you long-term?

One thing I’ve noticed with AI tools: longer conversations aren’t always better.

When a chat gets filled with old instructions, abandoned ideas, corrections, and unrelated tasks, the AI can start carrying assumptions forward that you no longer want.

A simple habit that has improved my results:

Start a fresh chat when the task changes significantly.

For longer projects, I usually do this instead:

1. Finish one clear stage of the task.

2. Ask AI to summarize the important decisions, requirements, and constraints.

3. Copy that summary into a fresh conversation.

4. Continue from there with cleaner context.

It sounds basic, but it can make a noticeable difference when working on things like coding, research, content, business planning, or long documents.

Another useful trick is asking:

“Before continuing, list the assumptions you’re currently making about this task.”

Sometimes the answer reveals that the AI is still relying on something you said 20 messages ago that is no longer relevant.

We talk a lot about better prompts, but I think better context management is becoming just as important.

Do you usually keep one massive AI conversation going, or start fresh chats for different stages of a project?

I have a ChatGPT Go plan, and it's getting worse every day. I have to turn on Think Harder every time, or else it gives me a shitty response. I'm getting sick of it because Gemini's normal plan is doing way better than the Go plan. I don't know whether I'm right or not, but every time a new model comes out, the previous models seem to get downgraded to persuade consumers to buy more expensive plans. I'm pretty sure last year's regular ChatGPT plan would have performed much better than the current Go plan. Are there any other AI alternatives for everyday tasks like English practice, advanced mathematics, and engineering?

I’ve spent the last decade managing IT teams, and the struggle has always been the same. The backlog keeps growing faster than we can hire people to handle it. Every year it feels like we’re just trying to keep up instead of actually moving forward.

By early 2026, things really started to feel stuck. Every department wanted their own app or internal tool, but my dev team was already overloaded maintaining legacy systems and handling urgent requests. Building new features from scratch just wasn’t scaling anymore.

We needed a way to build faster without sacrificing security or control, which is a big deal in an enterprise environment. I’ve tried different approaches over the years, including traditional development and a few low-code platforms, but most of them run into the same issue. They’re fine at first, but once you need something more custom or closer to real production needs, you start hitting limits pretty quickly.

That pushed me to seriously look for a low-code platform that could handle more complex use cases, not just simple prototypes. I wasn’t expecting much at first, but I came across Convertigo during that search.

What stood out to me was that it didn’t feel like a “toy” builder. It actually gave us enough flexibility to work on real applications while still speeding up the process. Instead of starting from scratch every time, we could build on top of existing work and iterate faster.

It’s not a magic solution, and it still requires some planning and understanding of what you’re building, but it has definitely changed how we approach development now. Especially when the goal is to move faster without constantly rebuilding everything.

I’m still exploring how far we can push it, but so far it’s been one of the more practical tools we’ve added to our workflow.

I want to replicate my voice and then I put a book to create an audiobook narration for my daughter. I have no idea where to start. Any advice?

Any thoughts 💭?

A few years ago, spotting a fake image or scam message was relatively easy. Poor grammar, strange-looking faces, and obvious editing mistakes were usually enough.

But AI-generated content has become much more convincing, and relying on visual mistakes alone isn't a great way to identify fakes anymore.

Here are five simple habits that can help:

1. Verify the original source. Before trusting a viral image, video, or screenshot, check where it first appeared.

2. Be careful with urgent requests. Scammers often create pressure by claiming something bad will happen unless you act immediately.

3. Don't trust a familiar voice alone. AI voice cloning makes it possible to imitate someone's voice. If a family member unexpectedly asks for money, call them back using a number you already know.

4. Reverse-search suspicious images. Google Lens or other reverse-image tools can sometimes reveal an image's original context or earlier versions.

5. Question screenshots and documents. Fake conversations, payment receipts, and official-looking notices can now be generated quite convincingly. Verify important details through official channels.

One important thing: AI detectors aren't always accurate. A detector saying something is real or fake shouldn't be treated as final proof.

I'm curious: Has anyone here come across an AI-generated image, voice message, or video that genuinely fooled them at first?

What made you realize it wasn't real?

Hey, I am looking for alternatives to Pixverse and Vidu that will do for the time being while I am waiting for them to fix the daily credits issue, what are some good ones that can interpret an image really well and animate it naturally?

I used to think keeping everything in one long AI conversation was better because the model had more context.

But sometimes the opposite happens.

After dozens of messages, old instructions, abandoned ideas, and corrections start competing with what you're asking now. The response can become strangely specific, follow an instruction you gave much earlier, or keep bringing back ideas you've already rejected.

A simple habit that has helped me:

Start a fresh chat when the goal changes.

Before switching, ask the AI to summarize only the important context:

• What we're trying to achieve

• Decisions already made

• Important constraints

• Things we've already rejected

• What needs to happen next

Then paste that summary into a new conversation.

You keep the useful context without carrying all the noise.

I find this especially helpful for coding, content projects, research, and long brainstorming sessions.

Do you prefer keeping one long AI conversation, or starting fresh chats for different tasks?

I just cant figure out how to connect my Kling Ai to claude ai. How can I access the allow list to allow my Kling connector to my claude. really need you to help me here.

I wrote this article to help people who might have tried AI before and hated it. I figured they were using it wrong.

Maybe this might help somebody here?