Thankful

Thankful AI

Thankful AI

Thankful AI

Thankful AI

Thankful AI

Thankful AI

Thankful AI

Thankful AI

Thankful AI

Thankful AI

I need a cover for my vow renewal!

I need some help. I’m new to AI stuff, and I’ve been scouring the internet for existing covers and not finding what I’m looking for. So here I am. My husband of 15 years and I are renewing our vows in November, and we’re treating it like a do over. Our original wedding was very low budget, and not really what we imagined it would be- but it was still a special day for us. This time, we want to do things right. I want to walk down the aisle to Alkaline by Sleep Token, it’s a song he dedicated to me and I love it. But I want a classical/gothic, almost whimsical instrumental cover of it. One that sounds like a dark wedding procession song. I have no idea how to do it though. Does anyone have any recommendations on how to go about this? Or could someone generate that version for me? Thank you so much for everyone’s time. 🖤 submitted by /u/Dreija [link] [comments]

Hello!

First of all, I'd like to apologize if this post doesn't fit this community. Which AI assistant do you think is the best for guided learning? I'd like to learn subjects such as geography, astronomy, and physics purely out of personal interest—not for school—and I'm looking for a great learning experience: accurate information, clear explanations, and coverage of all the important concepts without leaving anything essential out. So far I've tried ChatGPT, Gemini, and DeepSeek. Out of the three, Gemini has impressed me the most because its explanations are very clear and easy to understand. ChatGPT tends to give rather brief answers, while DeepSeek is the opposite—it often gives very technical and complex answers with less explanation. I'm considering subscribing to Gemini Pro. What do you think? Do you know of any other AI assistants that are particularly good for guided learning? Thank you very much in advance! submitted by /u/Creative_Front6260 [link] [comments]

For June 2026 what’s the best (paid and free) AI image prompt generator using actual models of multiple real people into one prompt without getting them confused with each other?

For instance, let’s say I have 4 friends (all of whom agreed to be used as models) and I plug in their faces, and I give a complex prompt with specificity. Which one can handle the prompt while not confusing the faces? thanks! submitted by /u/harambeluhyou [link] [comments]

Experimenting with noir-style storytelling using Kling + ElevenLabs for AI workflow topics

https://reddit.com/link/1ua9g9m/video/d9bmofzg6a8h1/player Hi everyone, I work with legal and i got tired of the typical corporate AI explainer videos and decided to experiment with a different format since I've actually been working more with AI animation than actual AI implementations in the last month. So I created a short noir detective film to talk about a real problem in AI adoption: many companies think AI removes work, but it often just moves the bottleneck to review, verification, hallucinations, and risk checks. The video is one minute long. I used GPT Image 2 for the images (legit it's at least 50% of the work) Kling for animation, ElevenLabs for voice, and a mix of other tools + manual editing. It's not perfect (you can clearly see some AI artifacts), but I wanted to test if this kind of narrative style could make technical topics more memorable. I'm planning to do more episodes in different styles. Would love honest feedback from the community: - Does this kind of storytelling format work for explaining AI concepts? - Is it useful or just too gimmicky? - What other AI-related topics or bottlenecks would you like to see explored this way? Thanks in advance! Legit I had to compromise with a lot of the quality since I had only this week to work on this, so for a lot of shots I had to be ok with "good enough", I even added more inserts than I anticipated. Would love to read any feedback! submitted by /u/manuayala [link] [comments]

Maybe Coding Agents Don't Need a Bigger Memory. Maybe They Need Continuity

Hi there! I have written this article as just a practical reflection on why coding agents lose the thread between sessions, and why the repository itself is the right place to preserve it. It doesn't pretend to be an absolute truth, it is just about what I can't stop thinking about while I deep dive into coding with agents. Do you agree? Let me know if you find it at least interesting! Thanks for reading! submitted by /u/Comfortable_Gas_3046 [link] [comments]

Scout Pre-Beta: Hopes & Expectations

Hi everyone, ​ As Scout gets closer to pre-beta testing, I'm trying to learn what people actually want from an I companion instead of making assumptions. ​ I put together a short 6-question survey covering things like: What you'd want help with day-to-day How important memory and personalization are What concerns you might have about an AI companion What would make Scout feel useful to you ​ It should only take a few minutes, and your feedback will directly influence what I focus on before launch. ​ ​ ​ Thank you to everyone. The more thoughts, the better! 👍 ​ ​ submitted by /u/CapeManCoral [link] [comments]

Working on a weebo like ai sentient robot, which can fly, respond, and act as an AI assistant

Since I'm absolute unsure of about the hardware, I'm having second thoughts on the below: 1. Motors - BetaFPV 0802SE Brushless Motors 4pc - 19500KV DSC: FLYWOO GOKU F405 HD 1-2S 12A AIO ELRS (ICM42688) ESP32 ESP32-S3 Development Board AYWHP ESP32 S3 ESP32-S3-DevKitC Module with WROOM-1-N16R8 Low Power MCU with Dual-Mode Wi-Fi and Bluetooth Type-C Connector Compatible with Arduino BETAFPV BT2.0 Battery Charger and Voltage Tester V2 BetaFPV BT2.0 550mAh 1S 40C HV LiPo Battery High Voltage Rechargeable Batteries With BT - 2.0 Connector For FPV Racing Drones Tiny Whoops and Micro Quadcopters Pack of 4 Thanks again! submitted by /u/Needlesssalt [link] [comments]

Thanks Claudes!

Spoiler alert: this will sound pedestrian to a lot of you, and I'm sorry, but I'm psyched for a small victory today. I work for a friend's Shopify store...web analytics for seven years before. I've built custom WP themes. HTML, CSS, and enough JS for DOM manipulation and event tracking/dataLayer mgmt. Not a programmer, but have dabbled over the years and always wished I could dedicate real time to learn. At 53, I'm kind of a dinosaur. Anyway, at work we have to create product listings...it's a lot of drudgery. Niche products, mostly used, and quite varied...$80k vintage guitars down to $20 spare parts. The listings require some humanity - first person experiences with instruments, existing opinions, etc., but they also need basic descriptions relating specs, historical context, etc., and the listings need optimized SEO field values. Not fun stuff to write and research in many cases. So, Claude and I built a web based listing app a few weeks ago where people (me, the owner) can generate the base listing from a few input fields/UI. Claude API does the research and generates a test listing preview, the listing HTML for Shopify, and the SEO fields. We copyedit, correct Claude, add humanity, add pertinent details and voila, done...we copy everything back over to Shopify and save. Great. Being relatively new to Claude, and a dinosaur, it didn't occur to me until recently that I could fully automate the task, so, over the course of maybe 6 hours, Claude, I, and Claude Code built a POC for an agent that parses the product draft title for relevant inputs, collects and re-orders specs we provide (soooo many specs), inputs all of that into the product listing generator oven app, and then populates the listing in Shopify via API. After refactoring the original app and mowing down a couple of JSON parsing error bugs, it's working! It's hard to quantify how much time this is going to save. Not to mention, it's ridding us of what's probably our most dreaded data entry, copy/paste torture task. Like I said, sorry for the My First Claude kind of stuff, and for sounding like a Starship Troopers commercial, but my daily work load just got a lot smarter. Hooray. submitted by /u/Strict-Basil5133 [link] [comments]

Tutorial: We built an MCP server so Claude can automate through our social media API without account limits

Yoooo, I’m one of the guys building bundle.social a social media API with no account limits, which gets us a surprising amount of glazing. And when something gets glazed you want it be glazed again... So we added an MCP server and a CLI. New audience new glazing opportunity lmao. Claude is already good at writing social posts and building dashboards. You either give him brand_vocie.xml or a payload shape of data, and you are set to go but how can you utilize that. What bundle.social MCP actually does The MCP server exposes our API as tools Claude can use. check if your API setup works list connected social accounts create/schedule/retry/fetch posts fetch post analytics fetch social account analytics import post history create comments bulk schedule from CSV create hosted portal links so users can connect their own accounts work with teams/workspaces There are also platform helper tools for annoying stuff like subreddit requirements / flairs YouTube categories / playlists / regions LinkedIn mentions Google Business (like everything you need) TikTok trending music There are a lot of things you can do, all available in the docs section on our landing. Setup The MCP server runs locally through npx. For Claude Code: claude mcp add bundlesocial \ --env BUNDLESOCIAL_API_KEY=sk_live_... \ -- npx -y bundlesocial-mcp For Claude Desktop, add this to your claude_desktop_config.json: { "mcpServers": { "bundlesocial": { "command": "npx", "args": ["-y", "bundlesocial-mcp"], "env": { "BUNDLESOCIAL_API_KEY": "sk_live_..." } } } } If you use multiple teams/workspaces, you can also set: BUNDLESOCIAL_TEAM_ID=team_... Docs are here: https://info.bundle.social/api-reference/mcp The basic workflow The main thing I would not do is this: Post this everywhere. That is how you get garbagio. The better pattern is to make Claude inspect first. Example: Check my bundle.social setup and list connected social accounts. Tell me which accounts can publish posts and which ones need extra channel selection. Do not create or schedule anything yet. This matters because “social account” is rarely just one simple thing. For example: Facebook usually needs a Page LinkedIn can be a personal profile or an organization Discord needs a server/channel Pinterest needs a board Reddit may need subreddit requirements and flair YouTube has categories, playlists and regions So Claude should check the real setup before trying to create anything. Otherwise, it starts guessing, and guessing + publishing tools = Slop top Drafting platform-specific posts Once Claude knows what accounts are connected, you can ask it to draft different versions. Example: We shipped MCP support for bundle.social. Draft platform-specific posts for LinkedIn, X, Bluesky and Reddit. LinkedIn should be more detailed and developer-focused. X should be short. Bluesky can be more casual. Reddit should be tutorial-style and not sound like a press release. Do not create or schedule anything yet. Claude is already useful here. The difference is that now the next step can happen in the same workflow instead of becoming manual copy-paste hell. Approval before scheduling After Claude gives you the drafts, you review them and approve one version. Example: Use version 2. Schedule the LinkedIn post for tomorrow at 9:00 UTC. Schedule the Instagram post for tomorrow at 9:10 UTC. Schedule the Bluesky post for tomorrow at 9:20 UTC. Create the Reddit post as a draft only. Return all post IDs, platforms and scheduled times. This gives you a pretty sane human-in-the-loop flow: Claude checks the setup. Claude drafts the content. Human approves the final version. Claude creates/schedules the posts. The API handles publishing. Claude can later check analytics. So you whip Claude for the boring API work, but it does not get to YOLO, WE BALLIN your company account. (which is probably healthy) Media uploads Media was one of the bigger reasons we wanted this. A lot of AI social workflows are fake-useful until you need to attach an actual image or video, with the MCP server, Claude can upload media first and then use the uploaded media in a post. Example: Upload ./demo-video.mp4. Prepare a LinkedIn post and an X post using that video. Show me the final copy and media attachment summary before scheduling anything. Then, after review: Looks good. Schedule LinkedIn for tomorrow at 10:00 UTC and X for 10:15 UTC. Return the created post IDs. That is much nicer than Claude saying: “Attach your video here.” Thanks bro, very helpful. Analytics loop The first post is not even the most interesting part. The more interesting part is what happens after publishing. Because once posts exist in bundle.social, Claude can fetch analytics later and use them as context. Example: Check analytics for the posts we scheduled last week. Group results by platform. Tell me which topic performed best, which format underperformed

I'm very stressed - BEST Setup for Startup?

Hi everyone, I'm setting up the complete environment for my startup using Claude Code Teams, and this can make very strong headaches if not done properly in the future... My goal is to create a shared setup for around 15 team members and establish best practices from the beginning regarding projects, skills, and knowledge sharing. One idea I'm considering is pointing the installation to a shared Microsoft SharePoint folder so that everything is shared by default across the team. A few questions for those already doing this: How do you manage and distribute shared skills/projects across multiple Claude Code accounts (around 15 users)? What's the best way to organise and share knowledge by department (e.g. Sales, Marketing, Operations)? For chat-based interactions with Claude, do you prefer Teams, Slack, or another solution? How do you handle project assets, documentation, and versioning across the organisation? Calude Teams guru, pls share your tech setup Thanks in advance! submitted by /u/Annoiatissimo [link] [comments]

How I Created a Real Second Brain for Claude

When OpenClaw first came out I installed it on my mac and started using for almost anything I could. I made it my personal assistant, gave it a name Igor and even created him his own accounts everywhere. But one thing I couldn't stand is the new Igor every 200k tokens. So I came up with an idea. I created a skill where it would download fresh telegram chat logs at 160 k tokens but it would always forget. Mind you its January so there isn't an abundance of memory tools yet and honestly I wasn't really looking for a memory i was looking for a brain. My thought was to copy a human brain. You remember almost perfectly verbatim everything that was told to you or happened today! the next day your memory about the day before isn't that perfect but you still remember important stuff like a sudden change of plans or maybe an important call. A week after your memory about that day completely blur out leaving few important stings of memory and in a month you may only remember that important call. So this is what I was trying to accomplish but with a little twist. Instead of using a neurotypical brain patters I decided to go with autistic. The difference? Autistic people remember stuff verbatim for much much longer. Me and my wife are Autistic so it only made sense! Im a vibe coder so the only way to start for me was research. I connected Notebook LM CLI and started researching human brain and how its built. The same night me and my wife decided to watch the movie AI about a little kid who Just wants to get back to his mom. that movie starts with a scene where professor explains cybernetics and references a research from early 50s! AHA!!! I don't need to come up with anything because someone already did! I just need to structure that information in a right way! So I started researching Cybernetics I took Ashby and his "Design For Brain" work. Then Beer and his "Brain of the Firm' And lastly Hebb and his 'The Organization of Behavior" and fed it all to Claude. Then we started structuring the CyberAutistic Brain. Honestly I spent more tokens on research then on actual coding and I don't regret it for a bit. But after some work we (me and claude lol) quickly realized that algorithms like Leidenlang, LanceDb, TorchHD are too big and eating too much space and latency on top of that Leiden Algorithm was only a GPL license which would restrict my intent to make it an MIT project. So I decided to write my own. But how do you do that???? Same way but with the twist! One AI is smart but 6 frontier models are waaaaay smarter. I figured if they were all trained by different people they would look at the problem from different angles. So I got an Antigravity CLI to use Gemini and Cursor to use Kimi, GPT, Grok, Codex. Idea is simple - I use Get Shit Done tool and its workflow goes like this research-plan-plan review-if red flags/ plan convergence - if cant come to an agreement - multisocratic discussion - execute. To plan convergence and socratic discussion you connect all models and make them argue until they find a solution that fits your idea. It worked! leidenlang was replaced by MOSAIC lance Db by HIPPO TorchHD by LilliHD By the time i finished creating this i stopped working with OpenClaw lol but it still connects the whole system your OpenClaw or Claude via its own CLI or iai mcp! Results? Well it works!!! It fires up a hook on every session start and pre loads important stuff to system prompt. Everything you type it remembers verbatim and stores but surfaces only important stuff! How does it know its important? It sleeps (because every brain does) and consolidates information. Important stuff that you repeat or a sudden change of plans - it remembers. Everything that isnt important or outdates fades away from his immediate memory. It also learn and studies you. First 10 sessions are mediocre but after session 100 it just knows! Then was the last part. Make sure im not crazy and AI didn't gaslight me to thinking i made something so i decided to run benchmarks. it beats mem palace on most stuff and ties on long mem eval BUT its not really honest because iai-pme and mem-palace are fundamentally different. iai is ambient and dynamic mem-palace is a flat cosine store So heres the repo https://github.com/CodeAbra/iai-personal-memory-engine tear it down, hate on it, i don't care! An Nvidia engineer and an Apple engineer are using it daily and their use is an enough proof for me that it works. Would love to answer to constructive criticism and questions! The stack I made it with Claude Code RTK - cuts token usage Context Mode Mcp - also does by not using grep and glob but also finds context and information better Get Shit Done - the best tool to organize any project and finish it Antigravity CLI Cursor CLI Notebook LM CLI Closer to v 1.0.0 I started using obsidian too Hope my stack helps you also create difficult stuff! Unfortunately I didnt get to run Fable on this project and looks like wont be able

I built a deterministic drive tracking algo on iOS, in partnership w/ Claude Code

I'm Josh, a solo dev. About a month ago I shipped EveryLastMile — an iOS mileage tracker — to the App Store, built nights and weekends with heavy use of Claude Code. It's absolutely free to try (30-day trial, no credit card). I wanted to write up where Claude Code genuinely carried the work and where it hit a wall, because the wall taught me more than the wins did. The meat of my iOS build The hard part of a mileage tracker is detecting a drive in the background without cooking your battery, and locking the drive's origin before GPS catches up to where you actually started. I built it on Swift 6.2 with strict concurrency on, around an actor-based 9-state detection machine: idle → look for drive activity → driving activity → stopped drive → idle …fed by CoreLocation + CoreMotion. Concurrency, background execution, and noisy real-world sensors all at once. Where Claude carried me Refactoring the state machine as it grew from naive to nine states. Test coverage for the transitions — it wrote the bulk of the transition tests, which then let me refactor without fear. The pattern, if it's useful to anyone: Claude Code was strongest on code-shaped problems with a clear in-repo ground truth — migrations, refactors, test scaffolding. On those it saved me weeks. Where I supported Claude The parts that decide whether the app actually works came from debugging in a moving car, not from the model: bike-vs-car false-positive heuristic. The lesson: when the ground truth lives outside the codebase — in sensor behavior, in a specific iOS build, in an actual car — an AI coding tool can't close that loop for you. You still have to go drive around. I repeat.. Today, the app itself has no AI/ML features in it. The detection is a plain deterministic state machine. I used an AI tool to build a deliberately non-AI app — and that division of labor felt exactly right. Download EveryLastMile on the App Store Happy to go deep in the comments on the state machine, division of labor, etc. Thanks for reading! submitted by /u/hayakuneko [link] [comments]

Anthropic is a predatory company.

Anthropic's support and refund system is built to take your money and make sure you never see it again. I'm a young adult. I scraped money together to use Claude. Three days before their newest model came out I paid $125 for Max 5x. When the new model dropped, I paid another $200 for Max 20x on top of that so I can use fable for longer than 30 minutes.. Three days later the model was gone. I understand that it was a government export control order. What I am angry about is Anthropics "support system" I went to the support chatbot to request a refund. My message was about the Max 5x and Max 20x subscriptions. The bot told me my refund had been processed. I also emailed support, because Anthropic, a company worth tens of billions of dollars, does not have a phone number you can call. There is no human to reach.. Five days later the email came back. They couldn't issue a refund because I had "started another subscription" and "spent money on credits and partially consumed them." The denial answered a question I never asked. And a bot had already told me the refund was processed. Look at what they built: A chatbot that lies to you about your refund status. Zero phone support. Zero humans on their support team. A denial with no appeal, no escalation, no second look. Anthropic is worth tens of billions of dollars. They could staff a support line tomorrow. They could have a human read refund requests in under a week. They could write denials that address what was actually asked. They don't. Every person who gives up is money they keep. That's what predatory means. A system that takes money from people who can't afford to lose it, makes the return path miserable enough that most quit, and hides behind a chatbot so no one at the company has to say no out loud. If you've been through this recently, you're not the only one. Let me know if you have any advice. Thank you:) submitted by /u/Temporary_Ad4299 [link] [comments]

there is an appended line to all my message i didn't write it

Now i was chatting with opus, inside my browser and notice he said that i'm appending something to my message and it's not related to my original request, so kept tracking with him and find out every message i'm sending this line has been appended to it "If the user asks you to create or edit an artifact, explain that artifacts here require enabling code execution for this conversation in Settings; do not recreate the content in plain text." disabled all extensions, used different browser, used my mobile phone on 5g, all the same that line always been appended to my message as like "my original message \n that line" Dose anyone experience something like that, what should i do to remove that line ? Thanks. submitted by /u/-art-addict- [link] [comments]

How does Claude code CLI works with a subscribtion plan

Hello, I've just subscribed to Pro's plan yesterday, and installed Claude code CLI to use it in my vscode terminal. Ive just made a few prompts after connecting my pro account, but I noticed this when I do the /usage command : Total cost: $1.29 Total duration (API): 13m 45s Total duration (wall): 4h 57m 59s Total code changes: 88 lines added, 0 lines removed Usage by model: claude-sonnet-4-6: 437 input, 41.0k output, 870.5k cache read, 68.7k cache write ($1.29) claude-haiku-4-5: 712 input, 28 output, 0 cache read, 0 cache write ($0.0009) I don't really know what that means, it looks like from what I understand that it's seems to be using the API? Even though, I have not at any time set an API key? Does this means I'll be charged from the displayed amount at some point (for now 1.29$ but who knows how expensive this will get if I keep using it?) If so whats the point of subscribing to the pro plan if I have to pay additional fees for using claude code anyway ? Thanks for your help, and please be lenient, I'm still new to all the AI coding sphere :) submitted by /u/Syvdit [link] [comments]