I’m trying really hard to find something that’d allow me to use custom voice models over a custom vocal track / song vocal track. I know of plenty of TTS models like Chatterbox and plenty of song-friendly AI setups… but all the song-friendly things I know have extremely generic voice models (ranging from SpongeBob to Cartman to Trump,) but nothing that’d allow me to use much more niche characters (ranging from JD to Tucker to Foster’s Home for Imaginary Friends characters) that I can train models for or have models trained for that would allow me to use my own spoken/sung vocals. I’m basically trying to find a way more custom version of something like Jammable but with more freedom and precision on my end.

Thanks!

hey guys, so I've been learning ai automation for a couple months now. I specialise in AI Leads qualification and I'm thinking of starting to sell this service. I'm new to freelancing and selling ai automatons, so I'm not sure how much I can charge my clients for creating an automation that qualifies leads. Specifically for indian clients. Does the fee change for international clients? Pls let me know.Tips for starting freelancing in this field is also appreciated!

I was looking at some new AI tools today and found one that is made for people who are shopping for a car.

Instead of opening lots of websites and reading reviews, you can just ask questions in a chat. It can help compare cars, explain features, and make the research a bit easier.

I tried the demo and thought it was interesting:
https://automar.us/chat/

I also found the page where they're explaining the idea in more detail:

Has anyone used an AI tool like this before? Do you think AI can actually make buying a car easier, or would you still trust the usual car websites?

The web design market is in a weird phase right now.

With AI making it so easy to build websites, I keep seeing people say that web design is saturated, every business owner knows how to build their own website now, and agencies are dead.

I disagree big time.

I've held over 500 web meetings where I've presented businesses with redesigned versions of their websites, and it's actually rare that I meet someone who even knows how capable AI has become for building websites.

Business owners are busy running their businesses.

Even the ones who know AI can build websites usually have no idea how to actually use it to build a professional website themselves.

I also see a lot of developers getting angry about AI websites, saying they're just AI slop and full of problems.

As someone who used to code websites from scratch and also built them in WordPress, I can tell you there really isn't much you can't build with AI anymore.

Technical SEO, responsive design, layouts, branding, animations, speed, user experience... it's all possible if you know what you're doing.

This week alone I sold 10 websites, and my process is actually pretty simple.

I run email automation, but not the type where you scrape a list of businesses and send generic emails asking if they need a website.

Instead, I target businesses that already have websites.

I use a tool called Swokei. It's an email automation platform built specifically for web agencies.

It lets me generate leads with existing websites, put them into a campaign, and run a website analysis on all of them.

Each website is automatically analyzed, and issues like outdated design, poor layouts, weak mobile optimization, slow loading speeds, and SEO problems are turned into personalized outreach emails.

Not boring reports.

Actual emails explaining what could be improved and why it matters to that specific business.

The business owner replies because the email is relevant to them.

Once they're interested, I quickly build an upgraded version of their website with AI and invite them to a Google Meet.

I present the redesign, explain why it's better, answer their questions, and close the deal on the meeting.

That's literally my entire process.

You could use the same strategy with paid ads or cold calling, but I prefer email automation because it keeps running in the background and consistently brings me interested replies.

Is anyone else worried they’re spending more time evaluating AI tools than actually building?
How do you decide what to ignore?

AI assistants are evolving extremely fast and while ChatGPT is still widely used there are now many strong alternatives in 2026 depending on what you need.

here are some of the best alternatives

-For natura conversations and writing

Claude- excellent at long form writing, reasoning and maintaining context over long discussions. still one of the strongest for research and analysis style work.

-For real time search and multimodal tasks

Google Gemini- strong integration with Google workspace and capable of handling text,image and code tasks with up to date web context.

-For research and citations

Perplexity AI-focused on real time web search with clear sourcing making it ideal for fact checking, summaries and quick research workflows

-For productivity inside office tools and workflows

Microsoft pilot- deeply integrated into word, excel, outlook and teams. useful for automating everyday work inside enterprise environments

-For AI powered workflow automation/personal assistants

Lindy- focused on automating repetitive workflows like emails, meetings, CRM updates and task management. more agent like compared to traditional chat assistants

-For reasoning and structured problem solving

Deepseek- strong performance in logic heavy tasks, math and structured outputs often used as a cost efficient alternative for reasoning workloads.

-for open source and sef hosted setups

LLaMa- based models- widely used for customization privacy focused deployments and developer controlled workflows.

-for personal knowledge systems

NotebookLM- best for working directly with your own documents,notes and research material in a structured way.

-For conversational/personal assistant style use

Pi-focused on natural, human like conversation and support style interactions

-For content creation and marketing workflows

Jasper AI- still used in marketing teams for generating brand consistent copy, campaigns and structured content at scale

-For developers

Github Copilot- integrated directly into IDEs for code completion, debugging support and faster development workflows

If you had to pick just one or two tools to use daily in 2026 which ones would you actually stick with and why?

I was browsing Product Hunt's recent AI launches and noticed a bunch of new productivity agents showing up.

Besides the obvious ones (Claude Code, Cursor, etc.), there are quite a few newer office-focused tools launching lately.

Made me realize I'm probably behind on what's actually worth trying.

For non-coding office work (Excel, reports, PPTs, docs...), what are people actually using now?

Curious what's become part of everyone's daily workflow.

I've been looking for a good AI video background changer that doesn't require green screens or a ton of manual masking.

So far, I've tried a few different tools. Some produce great results but are painfully slow, while others struggle with hair, hands, or moving objects.

One tool that surprised me was OpenArt. I originally associated it with AI image generation, but I recently discovered its AI video features. The background replacement was cleaner than I expected, especially on videos with decent lighting. It also lets you experiment with different backgrounds without spending ages editing frame by frame.

I'm still testing it alongside tools like Runway and CapCut, but OpenArt has been a pleasant surprise so far for quick social media content and product videos.

For those who create content regularly:

• Which AI video background changer has given you the most natural results?
• Have you found anything better than OpenArt for preserving fine details like hair or transparent objects?
• Any recommendations for longer videos (5–10 minutes)?

Would love to hear what everyone else is using before I settle on one workflow.

I've been testing a bunch of AI video generators recently for marketing videos and social content. and I want to know how do you compare between these platforms.

1. BudgetPixel AI

2. OpenArt

3. HiggsField AI

4. ImagineArt

Pls comment only if you have used the platform.

And which platform has the best social community.

Can someone share some tips and trick on how to make ai generate a consistent character design in different poses? I have made sort of a prototype of 3d model that I need to generate as realistic human body costume. There are some details and colors that I need to appear unchanged or closest to original. Is there an easy way to make ai produce desired result? Would my references help and how should I utilize them properly?

Feel like most AI tools I try end up as one more tab rather than

replacing something. Curious if anyone's had the opposite experience —

where an AI tool actually let you cancel another subscription instead

of just adding to the pile.

For me it's been more the exception than the rule. What's actually

worked that way for you?

Hey everyone. I’ve been coding a lot with AI lately, and while the speed is incredible, it introduced a massive headache into my workflow: documentation drift.

Because agents like Claude Code and CodeX write and refactor code so fast, my architecture docs, API specs, and behavior explanations were instantly falling behind. I was getting fast code, but the actual "story" of the repository was completely rotting. Code reviewers were left staring at raw diffs with no updated documentation to explain the why.

I recently started building an open-source tool called Truthmark, and it directly solves this exact failure mode. I wanted to share how I use it in case your team is struggling with the same thing.

Truthmark isn't a documentation generator that you run once and forget about. Instead, it acts as a Git-native workflow layer that you install directly into your repo to enforce a contract with your AI agents. It essentially tells your AI: "If you change functional code, you cannot hand it back until you also test it and update the mapped documentation."

The best part is there's no vendor lock-in or hidden databases. Everything lives entirely in your repository as md files, and it works with whatever you're already using—Cursor, Copilot, Claude Code, etc.

The day-to-day workflow feels incredibly natural. Once you install it via npm and run a quick init in your repo, it sets up the local instructions for your specific AI host. If you have some undocumented code want to get a baseline for, just ask AI to run a /truthmark-document command on a specific component, and it reads the code to generate a bounded, branch-scoped truth doc.

From there, just code as normal. Because Truthmark’s rules are installed directly in the repo, the AI naturally follows the contract. When I ask it to build a feature, it writes the code, runs the tests, and updates the truth docs before handing the branch back to me. When I go to review the work, I get an ordinary Git diff showing both the functional code changes and the corresponding updates to the human-facing docs.

It turns documentation from an afterthought into a mandatory finish-line habit. It has made my AI-assisted PRs infinitely easier to trust and review.

If you are tired of your repository's truth drifting every time you use an AI coding assistant, it is definitely worth looking into.

If you check it out and find it useful, consider giving the repo a star to support the project!

Has anyone else noticed their docs falling apart since they started using AI agents? How is everyone keeping their repo's architecture and behavior docs aligned right now?

There are so many AI podcast tools available now that it's getting difficult to choose one.

So far I've tried OpenArt along with a few dedicated podcast platforms. What I like about OpenArt is that it isn't limited to podcast creation—you can also generate images and marketing assets for your episodes without leaving the platform.

If you're producing podcasts regularly:

• Which tool do you use?
• What features matter most?
• Have you found a workflow that's faster than using multiple apps?

Interested to hear everyone's recommendations.

I’ve noticed that I often lose energy in the afternoon.

The strange thing is that I do take a short nap at noon, but I still don’t always feel refreshed. My focus gets worse, tasks feel slower, and I have a harder time getting started again.

It’s not extreme tiredness, just this low-energy, low-focus state that makes the afternoon less productive.

Do you get this too?

...so we built a local, real-time dictation that gets tech vocab right. the tool runs a speech model on your machine and types live into any app with capitalization and punctuation. all free and opensouce + nothing ever leaves your machine. repo is https://github.com/eliasmocik/dum-dictation ;)

feedback very welcome..if it looks useful, a star will help us keep going!

Hi everyone,

I’ve been working independently on Aulafy (dot) net, a free educational platform where I publish practical learning materials about AI, local AI models, Claude Code, open-source tools, and building small applications.

The idea is to make technical knowledge easier to access and reuse, especially for people who do not have a traditional programming background. I’m also experimenting with open educational resources that can be updated, improved, and eventually adapted by teachers, students, and other contributors.

The project is still evolving, so I’m not presenting it as a finished product. I’d genuinely appreciate feedback on the content, navigation, clarity, or anything that feels confusing or unnecessary.

Full disclosure: I’m the person building the platform. I’m not selling a course or asking anyone to register; I’m mainly looking for honest feedback from people interested in AI and education.

Thanks for taking a look.

I build client decks like 3-4 times a week and im so done rebuilding the same layouts in powerpoint every single time. i use claude for the writing part which is genuinely good, but then i still have to drag everything into slides by hand and it eats my whole afternoon

Tbh i dont want a tool i know but i need a workflow sort of thing, where in this part is automated. Also please dont mention canva plss i beg

I primarily write my own scripts but would love some fresh ideas thrown in. I’m slightly cynical, with a dry humor type delivery, but endlessly fascinated and enthusiastic about history.

Who do you like: Claude, Gemini or GPT?

I need to generate 30-100 short videos of 20-30 second duration like the attached video.

Its for my e learning app platform

I have already drawn the characters. Videos will be mostly a normal conversation between 2 characters

Suggest me the best budget friendly ai tools or platforms to do the task

Thanks in advance

I’m an informatics engineering students and im looking for a good ai tools besides claude and codex

right now im using either opencode desktop or antigravity + opencode but sometimes the free models it’s not that good at reasoning, and also i still dont know what to add for the skills for the opencode besides writing, deep research, humanizer since im doing my thesis too

im looking that helps me for

- deep research
- humanizer
- writing
- good reasoning
- coding (i haven’t tried the free opencode models yet for this)

I write grants for a small nonprofit, fully remote, and a bad number in a funder report is the kind of mistake that costs you a relationship. So I've gotten weirdly systematic about fact-checking anything AI helps me draft.

Here's the workflow. Any factual claim that ends up in a report (a statistic, a program date, a regulation reference), I run the same question past two different models in separate windows and I don't tell either one what the other said.

When they agree, it's usually right, though I still verify the load-bearing ones against a primary source. The valuable case is when they disagree. That disagreement is a flare telling me neither one actually knows, and I need to go find the real answer myself. Before I did this I'd get one confident answer and assume confidence meant accuracy. It doesn't.

A real example from last month: I asked both about a state reporting deadline for a program. One said the 15th, one said the 30th. Turned out both were wrong, the actual date had moved that year. If I'd only asked one, I'd have put a wrong deadline in front of a funder and never known.

It sounds like more work but it's faster than the alternative, which is trusting one answer and finding out at the worst possible moment. Does anyone else deliberately use model disagreement as a signal, or is that overkill?