hey folks,

Posted an early demo of this AI made rubberhouse game a few months back and now I've finally finished it!

It's a 2D platformer (or sidescroller?) inspired by my favorite platformer game Cuphead. For this build I've been using gauntlet loops only, and this is an about $100 of token spend to get to a finished, playable game. The trick with gauntlet looping is to give it enough context and visual references so it doesn't lose track during the 5+ hour build loops it runs. This was about 6 loops like that.

it has multiplayer coop, so you can play with friends. It also has 3 scenarios with 3 unique bosses. had a blast building out this game and really happy with the vibe and mechanics of it

can share all my prompts and the game link the comments for anyone who wants to try it!

edit: to clarify, I'm not intending to commercialise this game in any way - this is just for learning

Recently I decided to build Longinus, personal OS app that integrates and pulls my Slack, WhatsApp, my feeds, digests what happened each day/week, and lets me save items like todos, reminders, journal entries, bookmarks etc (i call these "Sparks").

It also has an AI chat where I can send all the sparks and chat about them, which is something I really need a lot to avoid pasting things all the time into Gemini.

I figured I'd record my process and make a nice timelapse if ppl are interested in how an end-to-end vibecoding process looks. The whole thing took about 3 hrs. 1 for the design and the spec, 2 for building, testing etc.

I used Claude Code on a Max plan with Opus 4.6, and created the spec and the design using Mowgli (https://mowgli.ai) to get the look how I want it and reduce token consumption

Link to app on GitHub: https://github.com/othersidejann/longinus
Link to final design: https://app.mowgli.ai/projects/cmm4z67af000i01mp6o893qia

The AI features are still rough around the edges, keep an eye on the repo, that's what I'll be working on next. Let me know what you all think! PRs welcome

Everywhere I go, I see people releasing new software. It might be people who have got some coding experience and are now using AI to accelerate, or it might be people who are building software for the first time.

Every time I see something being launched, even on a non-software forum - I just see

• `Looks Like Vibe-Coded`

• `Vibe-coded Slop`

• etc

And just plain, personal hatred.

I just don't understand it. It costs money to buy gold. It takes time. And just because the AI does a lot of the coding doesn't make it easy. It just makes it faster.

And I fully understand, like, we don't need another journal application or another to-do list. But I found a guy today who made an OBD Reading App for Cars, open-sourced it and people just slated him.

Just makes me mad! I feel like if Linus Torvalds had existed in the kind of enviroment, we wouldn't have Linux.

The more things I actually build, the more I realize just how shitty the software I have to use every day for work actually is.

The number 1 word processor in the world is hot garbage from a user experience standpoint: 10 drop down menus up top and 10 ribbons with each ribbon full of buttons and those buttons have their own dropdown menus.

How's an ordinary motherfucker supposed to indent something in this shit? How's your mom supposed to use this? "Check changes" would give her a stroke.

Don't get me started on excel or the broken web version of acrobat.

The point is this:
Faster coding with AI is an opportunity not just to make more junk faster. It's a chance to build, test, and prototype MORE. It's a chance for a better designed product.

I've stopped thinking of myself as a Vibecoder (I don't really code...so not literally a coder...) and started thinking of myself as a software designer.

Edit:
The important bit here isn't so much about me and my beef with MS word. It's more about how collectively we have an opportunity to make better things rather than just more things faster. We can prototype more and work more on user experience because code is less of a time sink.

I don't understand how manual coding died basically overnight. I have been a software engineer and ML engineer for nearly a decade and, within the last year, I have completely stopped writing code because the best models can do it faster and better than I can. Sure, I have to keep some basic guardrails on whatever model I'm using. But with the most recent tools--and I'm talking those released within the last two months--I cannot fathom a situation in which I'd write another line of python or typescript or C++ with my keyboard. It just doesn't make sense. The only time in which I find myself still writing code by hand is when I need to query a sql database. in those cases, I can generally write a quick join, filter, and groupby faster than I could describe my intent in plain english. Still, I am both excited and scared for the future at the same time. I don't know how a young person could possibly develop an understanding of software engineering principles in this day and age and it makes me wonder if we are on our way to a divergence of intelligence in which machines become responsible for all of the hard logic in the world and humans revert to more primal and emotional beings. For. the record, I am writing this post in the same way that I prompt AIs. There is no need for delineation of thought, detailed punctuation, or anything else that professional adults would have deemed important just a year ago. It's fucking insane and scary.

Below is Opus 4.5's translation of my thoughts into a coherent argument/narrative:

I've been a software engineer and ML engineer for nearly a decade. Within the last year, I have completely stopped writing code by hand. Not reduced. Stopped.

The best models now write code faster and better than I can. Yes, I still provide guardrails and architectural direction. But with the tools released in just the last two months alone, I genuinely cannot imagine a scenario where I'd sit down and manually type out Python, TypeScript, or C++ ever again. It simply doesn't make sense anymore.

The only exception? SQL. I can bang out a quick join, filter, and groupby faster than I can describe what I want in plain English. That's it. That's the last holdout.

I'm simultaneously exhilarated and terrified by this.

What keeps me up at night is this: how does a young person today actually develop a deep understanding of software engineering principles? If you never have to struggle through the logic yourself, do you ever really learn it? Are we headed toward a strange divergence where machines handle all rigorous logical thinking while humans drift toward something more... primal? More intuitive and emotional, but less capable of the hard reasoning that built the modern world?

For the record, I wrote this post the same way I now prompt AI—stream of consciousness, minimal punctuation, no careful delineation of thought. A year ago, that would have been unprofessional. Now it's just efficient.

It's fucking insane. And I honestly don't know if I should be celebrating or mourning.

The real me again: I can't shake the feeling that we're all fucked.

So, I do use ChatGPT/codex, but just a regular plan, not like tokens or anything like that. I've studied game engine architecture since late middleschool, 31yo now, and built a stupid amount of apps before this...

In any case, I made this in 2 weeks in my freetime, with a fulltime job, full on game engine from scratch in C++, server/client, fully multiplayer, infinite land (procedural generation) all 100% damageable, with lasting damage. Storm systems, day night, volumetrics, walking/flying character, everything.

Here's where they just noped and called it AI slop that, according to them "had to be entirely generated by AI..."

https://www.reddit.com/r/gameenginedevs/comments/1tksq37/custom_game_engine_with_opengl_all_procedually/

Really, idgaf, and think that everyone who downvoted just sucks at using AI to augment their programming. I get the vibe that it's just a bunch of programmers who are afraid of exactly the idea that someone could whip up an entire new game engine in a few weeks... Just wait until I finish porting the entire backend to Vulkan... for realtime ray tracing....

Idk, I think I'm going to start doing like weekly updates of wild features I'm adding on that sub... just to be that guy.

Here, enjoy a video of me breaking a procedurally generated ice shield with a some cool attacks:

Idk, I came here to vent a bit a bit I guess, one guy even went through my reddit history to see if I posted here... some people.

Here's some fun pics:

Whole game is only 4.6mb too.

So, ya, if you use AI to help you, even if a lot of it is like, having it build an interactive GLSL tutorial application so you can learn to code shaders in C++ yourself and add them accordingly... people be hating.

Hey vibers, last few months I've been spending most of my time building over 30 games with AI and I thought I'd showcase another game I vibed together last night on ai game maker tesana, heavily inspired by my all-time favorite rage platformer Cuphead, a true platformer masterpiece that is furiously hard to complete

The output you see on the video was one-shotted, so it's my first output so far, meaning I haven't even started getting into the details yet of the game mechanics with the AI - still pretty stoked about how it looks already and cant wait to build this out. The entire output is AI generated, meaning no external assets were added or uploaded to the project.

Edit: people are asking about the prompt, and it was a new type of long build prompt that sets the foundation for a longer AI process that works for much longer, but returns an insane level output like this if you prompt it right. Here is the first prompt:

Build a 2D platformer-inspired boss-rush shooter, utilizing state-of-the-art procedural graphics, completely skipping run-and-gun levels to focus exclusively on intense, skill-based boss fights. It should be visually stunning, mechanically razor-sharp, and crafted at AAA quality—featuring 1930s rubber-hose style procedurally generated animations, multi-stage boss phases, frame-perfect hitboxes, fluid parry mechanics, procedural ink-and-paint textures, and authentic vintage jazz audio integration.

Prompts so far: 1
Build time: 1 night
Token spend: about $30

So far it has 3 boss fights the player can choose to play with full boss mechanics, movements and attacks, it takes about 2-3 hours to kill all 3 of them if you're good at these kinds of games. It also supports 2-person coop multiplayer.

The game is fully playable and functional, happy to share the game link in the comments for anyone interested

Original post here: https://x.com/m__houser/status/2120253236309569696?a=o0niQ__doFPGVwHDrk8&s=46

I just saw another viral post on X where a senior dev explained why AI-generated code isn't 'real programming'.

Meanwhile, a 20-year-old vibe coder just shipped a full SaaS in 3 months ($10k MRR) using Opus 4.5 or something.

Edit: Wow this already has 11k views. Thanks for all the comments!

Edit 2: FYI, I don't know the vibe coder from the tweet and am not affiliated in any way. I have just saw this browsing on X. To avoid any premature negativity, I have removed the source link and put it in a comment below. The specific SaaS is irrelevant for the argument.

I’m not a developer. I teach English online and got tired of tracking lessons and chasing parents for payments in a spreadsheet, so over a few weekends I built a little app with Claude and Cursor. Tutors log lessons, parents get a monthly invoice with a pay button. That’s the whole thing

I put it online in August for $10 a month, mostly so a couple of tutor friends could use it

Last week it crossed $100 in a month. Ten paying tutors, seven of them strangers

One of the new ones sent me a message saying she found it because ChatGPT recommended it. I assumed she was being nice or confused it with something else. Nobody knows this app exists. My X account has 90 followers

So I opened ChatGPT and asked for an invoicing tool for private tutors. It listed four apps and mine was the third one, with a description that sounded weirdly close to my landing page

It took me a while to figure out why. Before launch I paid for a press release through MediaBoost. I only did it because a friend said tutors and parents would trust it more if there were a few news logos on the page. It got syndicated to a few hundred news sites that nobody reads, and I got maybe 8 visits from all of them combined. Same week I added their directory package to get listed on a bunch of software directories

I’d written both off. Apparently AI tools read those pages even if people don’t

I asked the other strangers too. Four said ChatGPT or Perplexity, two found me on a directory, one came from a tutor friend

The $100 is going straight to the Claude subscription that built the thing

Hi everyone,

Posting an update on my D2 inspired, vibe coded ARPG game I'm building with natural language - zero code written. What you see is entirely built using natural language!

Current build time: 12 hours

I've added some more stuff to the game:

- Treasure chests

- Portals to the village, and more areas

- Village zone

- Village NPC's with quests

- Boss fight

Next up is adding a new Wizard class and a new zone, I'm thinking a spider zone - but open to ideas!

You can take this game and branch out your own version of it, using the Remix feature on this link: https://tesana.ai/en/play/2386

I'm also thinking about doing a tutorial how this was made if anyone is interested, and I need to name the game properly, so let me know if have any suggestions

I've been coding with AI for 3 years. Built 40+ applications. About to launch my first public app after 2.5 weeks of focused development.

The backlash from senior developers is real. "You're not learning anything." "Just playing with AI." "Wasting tokens."

But..

I AM learning:

• System architecture

• User experience design

• Testing and debugging (a LOT of debugging)

• Deployment strategies

• Performance optimization

I'm orchestrating AI agents, reviewing code, understanding patterns, and making architectural decisions.

I'm watching tutorials, consulting developer friends, and obsessing over quality because I know a buggy app means I lose users forever.

Yes, some people are building junk with AI. But some of us are taking this seriously and shipping real products.

I'm not here to say traditional developers are obsolete. But I also think dismissing this shift entirely is dangerous.

What's your experience? Are you building with AI? What's working? What's not?

Doesn't matter if you spent 1000 hours on your vibecoded project, just 2 words are now enough to kill it: AI slop.

How do vibecoders here defend against this?

As a product manager, I’ve been working with developers for a long time and obviously frustrated at my complete ignorance to coding and what it takes to develop stuff and I feel like I’m sitting on my hands a lot waiting for developers to kick back new updates. But I finally started vibe coding using copilot inside VS code and it’s insane. Gun to my head, I can’t write a single line of C++ code that compiles. But in a week of vibe coding, I’m releasing features faster than my developers can get back to me with time estimates! Now I just want to improve my skills and I hope this community can help me do that.

Lately, the energy in this sub has felt a bit off. I’ve noticed a growing wave of demotivating posts, often coming from traditional developers, critiquing the utility of vibecoding or reminding us of what we "aren't."

I think it is time to clearly state what this subreddit is actually for, so we can stop apologizing for how we create and start celebrating that we create.

This community isn't a place to debate the purity of syntax or the definition of a "real engineer." This is a sanctuary for those of us who, for one reason or another, couldn't take the traditional path.

Maybe life got in the way and you never had the years to dedicate to CS degrees. Maybe you tried to learn Python or JS three separate times, but it just never clicked. Maybe you are a visionary product person who was always blocked by the "how", until now.

For us, AI tools and vibecoding aren't just "shortcuts", they are the bridge that finally connects our ideas to reality. They are the tools that allow someone who has failed at coding tutorials to finally feel the rush of seeing their own app come to life. That is a massive victory, and no amount of technical critique should take that away from you.

This subreddit should be the engine for that victory. It should be a place where we swap high-level prompts, figure out how to un-stuck a hallucinating LLM, share workflow tips, and ask "stupid" questions without fear of being judged.

So, let’s filter out the noise. If you are here to gatekeep, this probably isn't the room for you. But if you are here because you finally found a way to build the things you've always dreamed of: You belong here.

Let’s get back to sharing hints, helping each other debug, and most importantly, shipping our projects.

Keep building.

Written by Gemini 3.0 Pro from a prompt written by Me.

As someone who has successfully vibecoded two web applications with users, "vibecoded" stigma will soon fade away. I remember earlier in this sub how many SWE used to shit on vibecoders and belittle them for even trying, but the times are changing and the use of AI models in SE is heavily leveraged and encouraged. I have saved hundreds of dollars in monthly subscriptions to SaaS products by "vibecoding" replicas that serve my needs.

As long as you understand what you're building, knows the PRD, the architecture, routing patterns, and the stack of tools being used for both frontend and backend, and the security system in place, you will be fine. Use AI models as your tech co-founder who's implementing the areas you lack the skills.

In 10 years, AI will attain singularity. So don't bother about the naysayers!

I don't get why people hate vibe coding so much. Isn't this what we wanted? Since the 1940s, we've tried to make computers listen to our instructions always in an easier way for us, closer to our natural language. Starting with machine language, assembly, C, Java, Python, etc and now we have natural language (LLMs for vibe coding)

Hi reddit,

I launched PracticeTherapy.ai (ask for invite code, YouTube demo)

It's a deliberate practice platform for mental health professionals (therapists, social workers, psychologists, etc) to learn new clinical skills.

Posting to r/vibecoding, because the last time I wrote a web app was 2012 as I've been focused on mobile since then. I can definitely read code and design systems, but I didn't write a single line of code for this project. I also couldn't review the intricacies of this codebase: I've never worked with this hosting configuration prior (Cloudflare workers / D1 / R2), and only have tenuous understanding of React, TypeScript, and JSX. This is a new experience for me as a SWE with 23 years experience to launch a product I couldn't effectively code review.

Here's how it works

The goal is to help clinicians develop practical instincts in simulated sessions that can transfer into real client work.

1. Learn a skill through introduction videos: therapists learn the evaluation criteria for specific skills. e.g. in Motivational Interviewing "Simple reflections repeat what the client said without offering interpretation or advice".

2. Watch simulated client videos each speaking a short statement. e.g. a client saying "I drink a six pack of beer daily."

3. Respond out loud to the client to practice that skill. e.g. a therapist responding "You drink beer every day"

4. Get voice coach feedback about how well you did, which criteria weren't met, and get hints along the way.

The exercises were donated from Sentio University's curriculum and are based on evidence-based psychotherapy training best practices.

Generating believable client videos

Client videos needed non-verbal depth, emotional expressivity, and genuineness. They had to resemble real people so therapists can develop instincts for real clients.

The client videos were AI-generated with Seedance 2.0 Full for accurate emotional expressiveness, e.g.: dissociated clients looking away, anxious clients shallow breathing, angry clients having energized body language, etc.

The client reference images were AI-generated on GPT Image 2 to vary across demographics, such as ethnicity, age, gender, outfits and location (zoom or in-person). There's a little bit of work making sure random demographics line up with content (e.g., a 16 year old client isn't believable speaking about their "kids").

Coaching open-ended responses

The voice coach uses Elevenlabs voice agents for transcription and speech. The model powering skill criteria feedback is Gemini Flash-2.5-thinking. But we're probably moving to OpenAI Luna 5.6 with thinking disabled later today.

The important part here is getting the voice coach feedback just right. It would've been frustrating to criticize a correct response. I used GEPA to optimize prompts for correctness of feedback. It currently has a 97% accuracy score of passing skilled responses or correcting responses that don't meet the skill criteria.

Keeping introductions concise

I really wanted to let the client video shine, so we kept the intro videos short. The skill intro videos were created by Claude Fable using Remotion to have a high signal-to-noise ratio when explaining exercises.

My ask from you

If you happen to know any mental health professionals, please forward this to them. Free excellent resources aren't the norm in that field so they'll appreciate it.

If you work in mental health and want an invite code, please comment, DM or email me ([email protected]). We already have over a hundred therapists practicing in private beta.

This is the whole prompt:
Create me a fully playable release-ready game. On GPU. Game about alchemy with physics, items, shaders, sound, overworld, mechanics and etc.. I need it in 3D and not a voxel game. Make it with maximum effort, show me best what you can create. Use all your power, knowledge and make best graphics and best game design. Surprise me with graphics and everything.

Claude Code worked on it for about 4 hours and put a finished game on GitHub Pages. I didn't write a single line.

It's a first-person alchemy game called Tria Prima. You pick plants, brew potions in a ruined chapel and throw them at stuff. Fire burns the thorns that block the road. Ice lets you walk across water. One potion blows up rocks. There are things in the fog that hunt you, and they hate fire.

The crazy part is that it has no art or audio files at all. Every tree, rock, building and sound is generated by code when the page loads. Even the music, it wrote the soundtrack as notes in a text file.

It made the video too. It wrote its own tool that plays the game from a script and records it.

Half an hour in I told it to go dark fantasy instead of childish. After I played it I sent three bugs and it fixed them.

Fable 5.2 in Claude Code on max effort. 44K lines of JavaScript, 5.4M output tokens, about 4 hours for the first build and 6.5 with the fixes.

Play: https://winchxyz.github.io/tria-prima/
Code: https://github.com/winchxyz/tria-prima

It takes about an hour to beat. You need a keyboard, a mouse and a GPU. Tell me where it breaks.

I need to share this because I genuinely don't know what happens next, and I think this community will understand the journey better than anyone.

The background

I'm a Department Head at a Regional Social Welfare Directorate. My job among others is the supervising of care facilities — elderly homes, children's activity centers, supported living facilities. Think licensing, inspections, sanctions.

Here's how that works today: physical folders. Handwritten inspection reports. Sending documents by courier. No central database. No way for a supervisor to see what's happening across 240+ facilities without literally asking someone to pull the physical file. When we find a violation, calculating the fine means manually searching through legislation, checking if the facility has prior offenses (by digging through more folders, physical or digital it has no difference at this point), and type the administrative decision.

Every other sector in public administration got digitized through EU Recovery Fund money — tax authority, social security, healthcare, unemployment services. All got Integrated Information Systems. Social welfare? Still paper. Nobody built anything for us.

The trigger

About 7 months ago I started experimenting with AI tools. Not as a developer — I have zero programming education. I started with a simple idea: what if I could build a searchable legislation archive for my colleagues? Social welfare law is scattered across dozens of laws, ministerial decisions, and circulars. Finding the right provision wastes hours.

That prototype grew. First a document archive, then a professional forum, then an AI legal assistant that actually knows social welfare legislation (RAG over real legal documents). Each piece solved a real pain point I experience every day at work. I show it to my superiors, none showed real interest. So I parked it to git and went on creating a fun arcade game.

The 3-day sprint

Three days ago I had a call with Ministry General Secretary who wanted some special operational information that he couldn't find at his ministry's services. I provided the info he was looking for and discussed a little further then I hit him with my little project idea. He showed interest and wanted me to present it on a zoom call next week. That was last Thursday.

I decided to go all in. Using Claude Code (as the developer), and Lovable (for UI mockups), I transformed the prototype into a full Integrated Information System. Here's what got built during the weekend:

- **Facility Registry** — every supervised facility with full history, license tracking, color-coded expiry warnings
- **Digital Field Inspections** — mobile-first forms with facility-specific checklists pulled from actual Ministerial Decisions. Inspector fills it on their phone at the facility, submits, facility owner gets notified instantly. Today this notification takes weeks by mail.
- **Automated Sanctions Engine** — select violation type, system auto-calculates fine based on law + checks for recidivism + generates the formal administrative decision as PDF auto updates the existing fine processing system.
- **AI Legal Assistant** — ask questions about social welfare law in natural language, get answers with specific legal references
- **Oversight Dashboard** — real-time KPIs, expiring license alerts, pending inspections, sanctions trend charts

The technical stack: Flask, React, PostgreSQL + pgvector, OpenAI API. Role-based access for 4 user types. Deployed. Mock interoperability layer designed for real government API connections (tax authority, national id system, criminal records, other registers etc).

The dilemma

I sent an introductory memo to the Secretary General of the Ministry and some day this week I'll demo the system live.

But I'm facing a positioning problem nobody talks about:

**I'm not a contractor** pitching a product. I'm a civil servant who built this within his official duties. The law says that proposing operational improvements is part of a Department Head's responsibilities. So this isn't a side project — it's literally in my job description.

**I'm not from IT.** I'm from Social Welfare. The people who normally propose information systems are from Digital Governance or the EU Funds directorate. I'm from the directorate that *uses* the system — which means I know the domain better than any contractor ever could, but I have zero institutional standing in the "we build systems" hierarchy.

**I'm not asking for money for myself.** This isn't a startup. I'm salaried. I want the Ministry to adopt the system, fund proper deployment (government cloud, real API connections), and roll it out to all Regional Units nationwide. I built it. I want to hand it over.

What I've learned

**Domain expertise beats technical skills.** Every contractor who builds government systems spends months learning what I already know from doing the job for years. The inspection forms in my system use actual criteria from Ministerial Decisions — I even advised for some of them during their drafting. The fine calculations reference real legal provisions with real amounts. No outside developer could have specified this in months. I specified it in minutes without interrupting the development flow because I live it everyday.

**AI is the great equalizer.** I didn't learn to code. I learned to describe what I need precisely. My Claude user preferences literally say "explain everything like I'm 10." I can't read a stack trace — but I can tell you exactly what a social worker needs to see when they open an inspection form on their phone at a care facility. The AI ensemble did the  implementation. I directed the what and why.

**Vibe coding works for serious systems.** This isn't a todo app. It's a regulatory platform with role-based access, audit trails, GDPR deletion endpoints, multi-step sanction workflows, and PDF generation of formal administrative decisions. 30+ database models, 50+ API endpoints, security hardening, Docker deployment. Built without writing a single line of code myself.

The question

How do you bridge the gap between "one person built this with AI tools" and "this is now an institutional system"?

The prototype works. But government systems need: official procurement processes, security certification, government cloud hosting, formal interoperability agreements with other ministries, user training, change management. One Department Head can't do any of that.

I need the Secretary General to watch this demo and think: *"This solves a real problem. Let's fund it properly."* Not: *"Nice experiment from an employee."*

Has anyone navigated something similar? Built something real with AI tools and then had to make an institution adopt it?

I'll update after the call.

Drop keeps growing. Just sharing an update like I do every week or two. One thing that has made a difference is not requesting location permissions right when users sign up. I have removed a lot of friction. People at the bars loved it. It's finally useful now that it's showing how busy places are.

You guys have been amazing supporting me and just keeping me encouraged.

Link to download: ‎Drop - Realtime Foot Traffic! App - App Store

Gonna take most of the $2200 and give it to my mom because she's been struggling financially recently. I'm just completely mind blown at how fast I made $2200 and now I can legit help my mom all due to a random test with a 2 day old AI lmao. Gonna keep building it for sure. Can't wait to see how it turns out.

Edit: the AI runs locally and calls Qwen3 models (0.6B - 14B), whichever I set it to. Runs pretty smooth on my 5080 GPU so far. Gonna keep it fully local and calling Qwen3 models. Fully built with python 3.12.6.

For the 24 straight wins, I was calling Qwen3:4B.

Also, I no know nothing about coding really, or programming. I am just a prompt manager that demands a UI has good user-inputs built into it.

Edit 2: This AI is not for sale, not for trade. It is a personal project. If it ends up being successful and profitable, I will make a copy for my dad and for my only 2 friends to use. That will be it. I will not respond to and PMs asking how to get a copy of the bot.