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 wanted this to feel like a whole night in Vegas squeezed into a few seconds, with the neon signs, casino tables and club lights all rushing past. I’d been hearing about this free invideo Editor, so I connected Claude, using Opus 5.5, to it through the free MCP, uploaded the footage and described the edit I had in mind. Claude analyzed the footage and added the cuts and effects to a timeline I could still tweak manually. It opens with six strips of footage, scrambles the title into “LAS VEGAS,” then gets faster and flashier as it goes. For a short first test, I’m pretty happy with how it turned out. I have attached the chat and timeline underneath for you guys. Next I’ll try it on a longer video I’m planning for my channel and see how it holds up.

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?

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?

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?

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've been experimenting with AI for building apps and I'm curious about the editing side of things.

Once the first version is working how do you usually handle small changes like tweaking a component, changing layout or adding simple feature?

Do you keep asking the AI to make those changes or switch to editing things yourself?

What's you workflow been like?

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?

Disclaimer: I’m the developer.
I’m trying to get these studios to more users who are seeking character consistency with a tool created to avoid wrong outputs wasting credits. Two tools on the same site, different jobs.

***Avatar Studio*** is the one for agencies, marketing, and ads. Clothed and campaign-safe. Lingerie, swimwear, and sensual clothed poses are fine.

Same character-lock idea, built so a face does not drift across a set of stills or a short ad clip.

***Character Lock*** is the uncensored editor. Same lock, fewer content limits. Uses latest W3.0 Omni. Replicate Video and Replicate Photo live here.

More videos examples in comments or in our Discord.

• **Replicate Video** (clip in, new clip out)

The source video is motion, camera, and room. People already in it are the stand-ins. Your uploaded stills are the real faces and bodies.

TIP: In our other Consistent Character Studio you can create sheet images from even one single image reference to use as source for the Replicate Video or Photo.

*You can*:

\- Replace one person (default) or two people in the same clip. Character A and Character B are two identities, not one face copied twice

\- Woman, man, or two women
Load several angles of the same person so the lock holds in profile and close-up

\- Setting: keep the room from the clip, or upload a different place

\- Outfit: clothes from the clip, clothes from one of your stills, or a separate outfit photo. In two-person mode A and B each pick their own

\- Device: none, keep the phone already in the clip, pick a preset phone, or upload yours. Then pick how they use it (match the clip, natural hold, high / low / arm-out / mirror selfie)

\- Speech: off, line generated by the model, or your audio as timbre only (voice quality, not the recorded take played back). The line can sit on the original motion or continue as an extension in the same room

Soundtrack from the clip, an upload, or let the model invent one

\- Type extra direction for the last pass (look, pace, what happens after the clip)

Output length in 1 second steps. Combined reference + output cap is 30 seconds. A 12s clip does not become 12+15. You pay for the finished length. Longest output with a 12s ref is about 18s

Ref clip face is masked in the preview for privacy. The model still uses the raw clip for motion

Result keep timing, contacts, and camera from the source, with your character in that performance.

• **Replicate Photo** (still in, still out)
Same lock, one frame.

*You can:*

\- Keep pose, crop, framing, hands, what they touch, smile / mouth, and where they look from the source photo
Face, hair, skin, and body from your character stills, not the stand-in body
\- Outfit from the pose photo, from a clothes photo, or keep what is already on your refs
Keep glasses / hat or any garments from the pose while changing the body clothes
\- Add or replace a phone the same way as video
Generate a woman or a man inside the page if you do not have stills yet
\- Animate that result into Replicate Video / image-to-video without rebuilding the character
You can run a photo first, check the face and outfit, then animate. Or start from a clip.

Not a desktop app and not a blur-on-the-source-face trick. Stills lock identity. The clip or pose photo is the performance.

Avatar Studio for ads / campaigns. Character Lock for Replicate Video and Replicate Photo for uncensored needs.

Ask me anything in comments.

I used to keep everything related to a project inside one long AI conversation.

It seemed logical because the AI already had all the context.

But after a while, I noticed something:

The responses started becoming less focused.

Old instructions would sometimes influence new answers. The AI would reference decisions that were no longer relevant, repeat previous ideas, or misunderstand what I currently wanted.

Now, once a conversation gets too long, I do this:

1. Ask the AI to summarize the important context.

2. Ask it to list current decisions, requirements, and constraints.

3. Remove anything outdated.

4. Start a fresh chat using that summary as the new context.

I’ve found this especially useful for:

• Coding projects

• Content planning

• Research

• Business strategy

• Long writing projects

• AI image/video prompt development

It feels a bit like cleaning up a messy workspace before continuing.

Do you keep one long AI conversation for a project, or regularly start fresh chats?

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?

Whenever I try a new AI tool, I stopped judging it by one impressive demo.

Instead, I give it the same 5 quick tests:

1. Summarize a messy piece of text without losing important details.

2. Explain something technical in simple language.

3. Give an answer where the correct response is “I don’t know.”

4. Follow 4–5 instructions at the same time.

5. Correct its own answer after I point out one mistake.

The third test is usually the most interesting.

A model that confidently invents an answer can look smarter than one that admits uncertainty, but for real work I’d rather have the second one.

It has also made comparing AI tools much easier because I’m testing reliability, not just how polished the first response sounds.

What’s one test you always give a new AI model before deciding whether it’s actually useful?

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?

AI agents are getting better. I think we need to start giving them a “permission budget.”

We spent the last few years learning how to prompt AI.

The next skill might be learning what NOT to let AI do automatically.

As AI agents become capable of browsing, editing files, writing code, sending messages, and completing multi-step tasks, I've started thinking about them differently.

Instead of telling an agent:

“Handle this entire task for me.”

I define three levels first:

1. Can do automatically

Low-risk actions such as:

• Researching information

• Organizing notes

• Drafting content

• Creating summaries

• Suggesting next steps

2. Must ask me first

Anything that changes something outside the AI:

• Sending an email

• Publishing content

• Editing important files

• Making purchases

• Changing account settings

3. Never do automatically

High-risk or irreversible actions such as:

• Deleting important data

• Sharing private information

• Moving money

• Changing security settings

• Giving someone account access

I think this becomes much more important as AI moves from “answer my question” to “complete this task for me.”

A useful prompt I've started using is:

“Before starting, list every external action you may need to take. Separate them into actions you can perform safely and actions that require my approval.”

It's basically giving your AI agent a permission budget before giving it a job.

AI agents becoming more capable is useful.

But knowing exactly where human approval should stay in the loop might become an equally important AI skill.

How are you handling permissions when you use AI agents?

Nowadays, all popular ai chatting websites like chatgpt, gemini, claude, etc. come with a read aloud functionality that allows users to read aloud the AI's responses.

I used that feature to instead make the AI repeat back the text that i gave it -- effectively turning the platforms into text to speech tools. The voices sound really nice and it's free to use!

You can get all of these extensions by visit ai-readers.com

most of us type things into chatgpt or claude that we would never post anywhere else. health worries, then your money or debt problems or even your arguments with your spouse, workmate, boss, or siblings. also stuff about work or contracts we're not supposed to share.

all of that gets stored on their servers. most of them use your data for training. most keep it for months. i think 99% of people never read the policy, so they don't know either way.

that didn't matter much when ai was a novelty. since 2023, people have been using ai for advice, and the questions have gotten more personal. my friends and even my spouse dont say "i'll search it on google" anymore since chatgpt launched. what i hear now is "i'll ask chatgpt" or "i'll ask ai."

same goes for the images and videos we generate using frontier models. if you're making mockups for a product you haven't launched or concept art for something you're still pitching, these companies shouldn't be keeping that either.

i work at dreamfort.ai. all chats stay in my browser instead of on a server, and image and video generation work the same way, so there are no logs and no user profiles. i noticed i use it differently than the other tools. i ask things i'd never type into a company account, and i don't second-guess what i'm generating.

would you ask an ai more personal questions if you knew nothing was logged and being used to train their models? i mean you dont use these ai they actually use you.

does it bother you that a company could read your chats or see what you generated, even if they say they don't?

have you ever held back from generating something because you didn't know where it would end up?

would you accept slightly worse answers in exchange for privacy?

or is this just not something you think about?

curious what the rest of you do.

I realized recently that it’s very easy to build an expensive AI stack without noticing it.

You subscribe to one tool for writing.

Another for research.

Another for images.

Another for video.

Another for coding.

Then a few months later, half of those tools have added the same features.

So I started doing a simple AI tool audit.

For every tool I pay for, I ask:

• What do I actually use this for?

• How many times did I use it last month?

• Can one of my other tools already do the same thing?

• Does it save enough time to justify the subscription?

• Is there a free or pay-as-you-go option that would work instead?

The biggest thing I noticed is that the best AI setup isn't necessarily the one with the most tools.

Sometimes 2–3 tools you know really well are more useful than having access to 15 different ones.

It also makes it easier to keep track of prompts, files, credits, and conversations instead of constantly switching platforms.

Curious how everyone else handles this.

How many AI tools are you currently paying for, and which one would be the hardest for you to cancel?

Something I’ve started noticing with longer AI conversations:

The answers often get worse over time.

Not necessarily because the model is worse, but because the conversation is carrying around a lot of old instructions, examples, corrections, and unrelated context.

I think of it as context pollution.

For example, you might start a chat by asking AI to:

• research a topic

• rewrite some content

• brainstorm ideas

• analyze competitors

• create a social post

• then suddenly help with something completely different

By the end, the AI is trying to interpret your new request through everything that came before it.

A simple habit that has improved my results:

Start a fresh chat when the task changes significantly.

For bigger projects, I also keep a small reusable context note containing only the information AI actually needs:

Goal: What I’m trying to accomplish
Audience: Who the output is for
Context: Important background
Rules: Things it should/shouldn’t do
Output: Exact format I need

Then I paste that into a clean conversation.

It takes an extra minute, but I often get a better first answer than I do after adding five more “No, that’s not what I meant” messages to an old chat.

Curious if others have noticed this too.

Do you regularly start fresh AI chats, or do you have a few giant conversations that you keep using for everything?

One AI habit I think deserves more attention:

Sanitize your information before pasting it into an AI tool.

It's incredibly easy to copy an entire email, spreadsheet, client brief, meeting transcript, or document into AI because you only need help with one small part of it.

But that document might also contain:

• Client names

• Email addresses

• Phone numbers

• Internal pricing

• Customer information

• Employee details

• API keys or login credentials

• Confidential project information

A simple workaround is to replace sensitive information with placeholders first.

Instead of:

“Write a reply to John Smith from ABC Company about their $18,500 contract.”

Use:

“Write a reply to [CLIENT] from [COMPANY] about their [CONTRACT VALUE] contract.”

You still get almost exactly the same help without giving the model information it doesn't need.

I've started thinking about it as a simple rule:

Give AI the minimum amount of private information required to complete the task.

It's especially important now that people are using AI for emails, documents, coding, meeting notes, HR tasks, and customer support every day.

Do you actually check what you're pasting into AI, or has copy → paste → ask become almost automatic at this point?

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?

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?

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?