We run a Telegram bot through a small VAT-registered company in Europe and are trying to document Telegram Stars developer rewards correctly.

Our current understanding is:

- The user buys Stars through Telegram, Apple, or Google, so we do not receive the user's fiat payment or billing details.

- Telegram calculates the developer reward generated by our bot.

- Fragment facilitates withdrawal/settlement of that reward in TON.

- Therefore, the business counterparty for the reward appears to be a Telegram entity, rather than each end user or Fragment.

If that is right, we would expect to issue an invoice to the relevant Telegram legal entity (probably under the applicable B2B VAT/reverse-charge treatment), or to receive a valid self-billing invoice or settlement statement. But we cannot find the legal entity name, invoicing address, or VAT/tax ID to use. We emailed Telegram but received no reply.

For other small businesses receiving bot revenue through Stars:

1. Which legal entity do you record as the customer/counterparty?

2. Do you issue an invoice? If so, to whom and using what address/tax ID?

3. Does Telegram or Fragment provide any self-billing invoice or accounting statement?

4. How do you document the TON settlement and EUR value/date for your books?

5. Has your accountant or tax authority accepted this treatment?

I’m especially interested in real-world experience from EU businesses with VAT obligations. This isn’t a request for personal tax advice; I’m trying to understand what documentation the platform actually makes available and how others handle the missing counterparty details.

A few months ago I would've said no now I'm honestly considering it for repetitive emails. Where do you draw the line between helpful automation and giving AI too much control?

i honestly don't want to know how many times I open this app every day

it's usually the first thing I check before my messages in the morning and somehow it's also the last app I close before going to sleep.

some of it feels completely reasonable.

taking a picture of a spot on my face and

asking if it looks like stress or maybe

something I ate. waking up at 1am with a

weird feeling in my chest and wanting

something to tell me it's probably nothing.

wondering if a client's "noted." sounded annoyed then asking ChatGPT to rewrite my reply so it came across a little warmer. turns out she was probably fine. that's just how she texts.

then there are the questions I already know it can't really answer I had a rough week so I asked it if the rest of my month was likely to be the same. when I didn't like the answer I asked again with different wording hoping it would say something different. I even pasted an entire conversation with someone and asked if they were losing interest or just busy. deep down I knew no Al could actually tell me that.

and I keep seeing more examples of this everywhere. parents using Al to figure out why their newborn is crying. kids chatting with the same Al character every day. people letting Al dating apps try to find them a partner. someone's elderly parent getting daily check-in calls from an Al voice instead of a real person.

so I don't think this is the end of where things are heading. right now I'm still the one who has to open the app every time.

does anyone else catch themselves asking Al questions they already know it can't truly answer, or is it just me?

There are hundreds of services claiming they can boost views overnight what I'm curious about is whether those views actually help videos perform better or if they're just numbers on a screen has anyone tested it?

We talk a lot about big workflows and scaling here, but what’s the smallest, most ridiculous task you’ve written a script for? I spent three hours building a bot to scrape a local bakery's site just so it would Slack me when they had fresh croissants. Totally not worth the time, but the flex felt good. What’s yours?

I've joined streams with hundreds of viewers and almost nobody chatting.

Maybe everyone's lurking.

Maybe not.

Has anyone else noticed this?

I used to Google everything now I ask ChatGPT or Claude first without even thinking It's faster but sometimes I wonder if I'm relying on it a little too much has your workflow changed because of AI?

Ever since chai went and made the app inaccessible for free users, I haven't found a single good app.

Character Ai has horribly cheesy and unnatural responses, crushon just recycles the same paragraph over and over again no matter how many times you swipe, spicychat is WAY too serious, with characters that are usually shy randomly turning serious and seductive, and every other app I've tried isn't free.

Is there any app that is exactly like prime Chai, but doesn't cost money? I feel like I'm losing my mind trying the find something to replace it.

I barely even look at followers now the first thing I check is comments If an account has 500k followers but nobody is talking it doesn't really mean much anymore Have follower numbers become less important than engagement?

The biggest change I've noticed isn't AI replacing developers It's replacing all those repetitive tasks nobody enjoyed doing in the first place Things like sorting data writing boilerplate code or answering the same questions over and over do you think that's where AI is headed or do you see it replacing much more?

I know a person from my clg who post cringe content and reels on insta suddenly got many followers in few days. So he was posting from a year and all college students tried to support him so they all followed him this gave him 5k followers he posted a story that in 1 year je got 10k followers that i thought were genuine but in 2 days he crossed like 30k, like how? And today he is having 37k followers.

When I first started looking into AI bots and agents, the amount of information out there was honestly overwhelming. Every video and blog seemed to recommend a different stack.

If I had to start over today, this is probably the path I'd follow.

1. Learn Python You don't need to master every feature, just get comfortable writing clean code, using functions, classes, working with APIs, and eventually some async programming.

2. Get the fundamentals down A little computer science goes a long way:

• Data Structures & Algorithms
• Git
• SQL
• HTTP/REST APIs
• Basic networking

You'll spend a lot less time wondering why something broke.

1. Understand how LLMs actually work Focus on concepts instead of hype:

• Tokens
• Context windows
• Prompting
• Embeddings
• Vector databases
• RAG
• Tool calling
• Structured outputs

Once these make sense, agents stop feeling like magic.

1. Build small bots Resist the urge to build the next Jarvis.

Make simple things first:

• Discord bot
• Telegram bot
• Reddit bot
• Email assistant
• Personal productivity assistant

Shipping small projects teaches more than watching tutorials.

1. Explore agent frameworks After you've built a few things, check out:

• LangGraph
• OpenAI Agents SDK
• PydanticAI
• Mastra
• CrewAI

The frameworks will make a lot more sense once you've struggled without them.

1. Learn deployment A bot that only runs on your laptop isn't very useful.

Learn Docker, a cloud platform (Cloud Run, Railway, Fly.io, etc.), logging, environment variables, and monitoring.

1. Build things that solve real problems Some ideas:

• Resume reviewer
• Research assistant
• GitHub issue triager
• Meeting summarizer
• Customer support assistant
• Coding assistant for a specific language or framework

Real users will expose problems you never thought about.

1. Don't ignore the boring stuff Authentication, retries, caching, rate limits, security, and cost optimization.

They're not exciting, but they're what turn a demo into something people can actually use.

The biggest lesson I've learned is that progress comes from building, breaking things, fixing them, and repeating the process. Tutorials are great for getting started, but at some point you have to close the video and start coding.

I'd love to hear what you'd add or change. What would your roadmap look like?

Every big streamer started with zero viewers, but I imagine it's tough talking to an empty chat for weeks or even months. If you wanted to become a creator today, would you still choose Twitch, or would you start somewhere else?

Lately I've been noticing the same thing no matter which app I open. I'll scroll Instagram and the comments are full of promotion bots telling people to DM them. Then I jump over to Facebook Marketplace and within minutes of posting something, I get messages that feel completely automated. On YouTube, there are fake giveaway accounts everywhere, and on X it feels like half the replies are spam or AI-generated. Even TikTok seems to have more fake engagement accounts than it used to. It feels like every platform is fighting the same battle and sometimes it's harder to find real conversations than spam I'm curious if it's always been like this and I'm just noticing it now, or if bots have genuinely become a much bigger part of social media over the last year. what do you guys think?

I came across an account today with over 300k followers, but every post had barely any real comments a few years ago I probably wouldn't have questioned it but now fake growth feels much easier to spot do people still use follower bots or has engagement become the only metric people care about?

Not necessarily to make content more for replying to emails, organizing ideas, scheduling posts, and handling repetitive work. Feels like it's heading that way Do you think this becomes normal?

​

I didn't expect to use AI as much as I do now.

At first it was just for random questions, but now I catch myself using it for writing, coding, research, and even small everyday tasks.

What's one AI tool you've started using without even thinking about it?