InVideo AI

InVideo AI AI

InVideo AI AI

InVideo AI AI

InVideo AI AI

InVideo AI AI

InVideo AI AI

InVideo AI AI

InVideo AI AI

InVideo AI AI

InVideo AI AI

https://t.co/VBg7G83aDy

https://t.co/VBg7G83aDy

Four backend concepts for Product Managers using Claude Code

You don't need to write backend code. But if you understand how backend systems behave, your prompts get dramatically better because you're speaking the same language as the system. Async vs Sync: user clicks "generate," you call OpenAI, it takes 3-5 seconds. If that's synchronous, the entire UI freezes, Nothing responds. The fix is to make the call async. Show a loading state immediately, let the user keep interacting, update the screen when the response arrives. Tell Claude Code "handle this asynchronously" and watch the output quality jump. Race conditions: two users click "claim this spot" on the last available slot at the same second. Backend reads the database, sees one spot, confirms both. Now you have a double booking. You don't need to write the fix, but you need to spot this pattern in your specs. Anytime a user action reads a value then updates it, ask one question: what happens if two users do this at the same time? The fix is an atomic transaction read and write happen as one indivisible operation. Idempotency user submits a form, internet cuts out for half a second. Did it go through? They don't know, so they click again. Without idempotency, you now have two records. With it, the second request returns the same result without creating a duplicate. The fix is an idempotency key is unique ID generated on the frontend, sent with every request. Backend checks if it already processed that key. Stripe uses this for every payment call. Graceful degradation: your app calls OpenAI and the API is down. If you haven't planned for this, users see a blank screen or a raw error code. Every feature needs three states: happy path (everything works), loading state (we're waiting), error state (something failed). Retry up to three times. If it still fails, show a friendly message and keep the rest of the page working. Never let one dependency take down the whole experience. TLDR: Next time you're in Claude Code, try using these terms in your prompt — "handle this asynchronously," "make this endpoint idempotent," "add graceful degradation." The output gets significantly better when you speak the system's language. Post inspired from this video, you can checkout SkillAgents AI on Youtube for similar content. submitted by /u/InfamousInvestigator [link] [comments]

Inter-1 does streaming: real-time social signal detection from live video, audio & text

Hi – Filip from Interhuman AI here 👋 Last month we launched Inter-1, our multimodal model for detecting social signals from video, audio, and text. Today we’re making it work with video streams. We just released the Inter-1 Streaming API: a WebSocket endpoint that runs the full Inter-1 stack - 12 social signals, structured rationales, engagement, and conversation quality on live video while the conversation is unfolding. You stream WebM chunks in, and get back regular updates with detected signals. The model runs in sliding 8s windows with a sub-1.0 processing ratio, so it’s fast enough to power live coaching prompts, in-call overlays, and adaptive UI. It’s not meant to be a full voice agent on its own, it’s the behavioral signal layer you plug under whatever interaction system you’re building. If you’re working on sales/CS tooling, interview coaching, training, or live feedback products and want to experiment with real-time social intelligence, it might be worth looking into. Happy to answer questions or brainstorm use cases in the comments. submitted by /u/Sardzoski [link] [comments]

I tested Claude + After Effects so you don't have to guess anymore

I've been seeing a lot of curiosity and, honestly, a lot of hesitation around using Claude with After Effects. So many motion designers are in the "I've heard of it, but I don't really get what it does or how it works" camp. So I decided to go deep on it. I tested it across real motion design workflows and documented everything I found. I just put together a full breakdown that answers the questions I kept seeing over and over: What Claude can actually do inside After Effects. Where it helps, where it doesn't, and where it straight-up wastes your time. How setup works, because this was way less obvious than it should be, and most guides skip the parts that trip you up. Real use cases for motion designers and not generic "AI can help you brainstorm!" stuff. I'm talking about specific things like expression generation and workflow shortcuts that actually make a difference in daily work. There are things it's genuinely useful for and things that are still faster to do manually. If you're a motion designer who's been curious about Claude but hasn't taken the plunge because the info out there feels either too vague or too hype-y - this is for you. It's also for you if you've tried it once, got underwhelming results, and figured "yeah, not for me." There's a good chance you just didn't have the right setup or prompts. What this isn't: It's not a "Claude will replace you" video. It's not a sponsored thing. It's me sharing what I learned after actually using it in my workflow, so you can skip the trial-and-error phase. You can find the breakdown here if you're interested in learning more: https://youtu.be/ayZnTA4dnZk?si=y0ri5-rU5ejwK4QV Happy to answer any questions in the comments, too. submitted by /u/KashuAcademy [link] [comments]

Always believe something amazing is about to happen! 🚀

Always believe something amazing is about to happen! 🚀

What is currently the best AI model for my situation?

I've only been using the free versions so far, mostly for brain storming ideas and assisting with interview prep and work related tasks, however, I know I'm missing out on a lot more functionality and potential for either developing myself, my skills, or actually creating some form of income with it. Content creation is the obvious one, however I'm not aware of how to utilise it for streamlining anything in terms of video editing, apart from learning the skill faster than watching tutorials for days upon days. As everyone else - own business or freelancing would be ideal, but I am not sure what sort of business I can start myself at my current stage in life (medium level finance and accounting career, 5 years in, but mostly on the transactional side with a recent move into analysis and reporting). I know my post is all over the place, but to summarise it briefly - What use cases and functionalities am I not aware of that could help me with the above mentioned issues, or in general would be worth knowing to stay ahead of the game/everyone else? How do I go about discovering more? Which AI model should I go for? submitted by /u/ADK-KND [link] [comments]

Full masterclass here: https://t.co/CH0cEUPTAi

Full masterclass here: https://t.co/CH0cEUPTAi

We studied how big brands are shipping 4-5 winning product films & UGC ads, every single day. It's serious brand teams building an Agent's brain and memory right upfront. Here's how. https://t.c

We studied how big brands are shipping 4-5 winning product films & UGC ads, every single day. It's serious brand teams building an Agent's brain and memory right upfront. Here's how. https://t.co/wM7Z7YVnTk

We sent Agent One to Stephen Chow's film school. We trained it on a detailed directorial bible once and it held every detail across every shot — the chaos, the heart, the madness. The result? 'Holy S

We sent Agent One to Stephen Chow's film school. We trained it on a detailed directorial bible once and it held every detail across every shot — the chaos, the heart, the madness. The result? 'Holy Smash.' A short film made entirely with Agent One, inspired entirely by his https://t.co/VDRqKf0W0p

Barry Cache remembers your repo

I’m lazy. Not in the “I refuse to work” way. More in the “if I have to explain the same repo context to another coding agent again, I’m going to start charging myself consulting fees” way. So here is Barry. Barry is a tiny repo memory thing for coding agents. It came from the KB system I built for PulpCut, my video editor project, then I pulled it out into its own npm package. The idea is: `bunx barry-cache init` And then Barry does the boring setup. He creates repo context files, adds agent instructions, sets up validation, adds package scripts, and tells Codex / Cursor / Copilot / Claude / Gemini how to load project context before they start touching things. So instead of me saying: “Please read this file, and that file, and ignore the old thing, and remember this decision, and yes that weird implementation is intentional…” Barry says it for me. What Barry handles: * repo memory in Git * feature context * source-backed facts * ADRs for decisions * validation * agent instructions * package manager-aware commands * a review UI, so you can run `barry-cache review` and visually inspect Barry’s memory: feature areas, saved facts, relationships between facts, linked decisions, and the context graph agents will use before working on your repo The important part is that it is boring on purpose. No magic brain. No “revolutionary agentic memory layer.” Just files, commands, and fewer moments where an agent confidently deletes something it did not understand. This is not a startup launch. I am not pivoting to “AI memory infrastructure for the enterprise knowledge graph future” or whatever. If you are also lazy: `bunx barry-cache init` The package is barry-cache. Barry will take it from there. submitted by /u/Nice-Pair-2802 [link] [comments]

Anyone can customize LLMs for their needs

AI has become commonplace after ChatGPT. Majority of people ended up as passive consumers of AI. Some of needs of people when using AI are met since they align with the goals the AI labs trained the models for. But many needs did not since they were not in the list of tasks the builders of the model considered. Just like you can customize your phone and the apps on them, everyone should have the option to customize the AI models they use. With modern tool, once doesnt even need to know coding to customize LLMs for their needs. This video shows how ANYONE can finetune (or customize) LLMs for their needs. https://youtu.be/zHdRN9jblaE submitted by /u/NoobMLDude [link] [comments]

Running multiple Codex sessions on macOS with separate app data

I recorded a short tutorial showing a macOS workflow for running multiple Codex sessions side by side, either with separated app data or with the same shared account. The first use case is separation. One Codex session for work, another for personal projects, and maybe another for experiments, without all of them sharing the same app state. For example, this can help keep a work account and a personal account separate instead of switching back and forth inside one shared app environment. I'm using a Mac app I built called Parall to create the launchers. It works with apps already installed on the Mac and creates independent launchers for them. The original app is not modified. There is another useful mode too. If a Parall shortcut is configured to not override the data path, it reuses the same account. That means you can have two Codex windows running the same account at the same time. This is useful when you have multiple tasks processing in Codex and want to watch them side by side. Inside the Codex app, you have to switch back and forth between tasks. With separate launchers, you can keep multiple active sessions visible at once, which can improve productivity. In the video, I show step by step how to create a separate Codex launcher that runs with its own data, then launch multiple Codex instances at the same time to show them working side by side. You can create and run as many instances as your Mac's RAM allows. When data separation is enabled, Parall creates a home-like structure inside the selected app data path. That folder can include symlinks that keep useful host configuration shared, for example SSH and Docker configs. This makes the setup flexible. You can remove symlinks or add new ones, so you control what is separated and what is shared between each Parall shortcut and the host. This is data separation, not full isolation. Each Codex instance can still access the same project folders on your Mac. This is not specific to Codex. Parall can also be useful with other AI coding tools and with most non-sandboxed Mac apps where separate app data or dedicated launchers are useful. Important notes: To run multiple Codex instances at the same time together with the original Codex app, the main Codex app must be launched first. To avoid that limitation, create multiple Parall shortcuts and use those shortcuts exclusively. I recommend disabling auto-update for all instances except one. Once that one instance updates Codex, restarting the other instances makes them use the latest update instantly. To log in to different accounts, close all Codex instances except the one you are logging in to. After logging in, you can run the instances at the same time. Curious how others are managing multiple Codex workspaces or accounts on macOS. submitted by /u/JulyIGHOR [link] [comments]

PrimeTask Bring Your Own AI - Claude sets up a full project in one prompt.

Hey r/ClaudeAI, I'm one of the developers behind PrimeTask, a local-first productivity system for macOS. The final beta now ships with Bring Your Own AI, a local MCP server (110+ tools, 5 prompt templates) so you can point Claude Desktop, Claude Code, Cursor, or LM Studio at it and let your own agent do the work. Quick demo in the video. One sentence from me, end-to-end project setup from Claude. What's happening in the clip I say I'm launching a Mac app in six weeks and ask Claude to set up the project. Claude creates the project with a deadline, three phase tasks (Design, Build, Launch) with staged due dates, descriptions, tags, subtasks, and short checklists. Sets a reminder on the first task so the native macOS toast fires during the recap. Recommends where to start. I say "start." Claude moves Design into the Design status and kicks off a timer. Twelve-plus tool calls under one prompt. No copy-paste, no manual setup. Why BYO AI (not a bundled cloud bridge) Server runs inside PrimeTask on your Mac. Your tasks, projects, CRM, and notes never leave the device. We don't ship a model. You bring your own: Claude Desktop, Claude Code, Cursor, LM Studio, anything MCP-compatible. No Anthropic-side context about your work. Claude only sees what your agent pulls in per turn. Per-space permissions: lock an agent to read-only or scope it to one workspace. Streamable HTTP with Bearer auth, or stdio if you prefer that route. Tool catalog profiles (Full, Core Tasks, Minimal, PrimeFlow, CRM, etc.) so smaller local models don't get drowned in 100+ tools. Five built-in MCP prompts (daily_standup, weekly_review, project_status, crm_summary, overdue_triage) for the workflows people actually want. Every tool call is logged in an in-app audit log. Full BYO AI docs (setup, transports, tool catalog, security): https://www.primetask.app/docs/integrations/bring-your-own-ai Why we built it this way Most "AI in your task app" is the app calling a vendor's API on your behalf, often with your data going through their pipes. We wanted the opposite. Your agent, your model, your machine. The app exposes a tool surface and gets out of the way. That's what BYO AI means here. PrimeTask itself is local-first, no account, no subscription, plain JSON on disk. BYO AI made the AI story consistent with that: nothing leaves your laptop unless you point your agent at one that does. Where we're at PrimeTask is wrapping up the final beta and heading to a stable launch this summer. Beta is now closed to new sign-ups. We're locking it down to ship the stable release. If you'd like to be notified at launch, drop your email here: https://www.primetask.app/notify or visit https://www.primetask.app Happy to answer questions about the MCP setup, the profile system, or how we structured the tool descriptions for agent discoverability. submitted by /u/XVX109 [link] [comments]

OpenAI cofounder Andrej karpathy just joined anthropic and the talent war is officially over

this happened literally today ,andrej karpathy one of the most respected ai researchers alive nd the guy whose youtube lectures taught half the developers in this sub how neural networks work, just announced he is joining anthropic's pre training team. He's the 3rd senior openai figure to defect to anthropic in under two years. Jan leike left in may 2024, John schulman (co-founder) left in august 2024 and now karpathy. He is joining the pre training team under nick josef and building a new team focused on using claude to accelerate pre training research which means Anthropic is betting that claude can help make itself smarter, thats recursive self improvement with one of the most capable researchers in the world leading it. The musk trial verdict came in yesterday with the jury ruling in altman's favor, karpathy announces today voilaa . The timing is either coincidental or the most savage talent acquisition move in tech history. I hv been watching this trajectory while building my own workflows on claude ,every month the ecosystem around claude gets stronger. The connectors mean claude orchestrates professional creative tools natively, the api means platforms like magic hour and kling can plug video generation capabilities into claude powered pipelines, the finance templates mean entire industry workflows run through claude and now the guy who built tesla's self driving stack is making the pre training better. Polymarket gives anthropic 67.5% chance of going public before openai and i too think its ipo will be more successfull than openai what's everyone's read on what karpathy specifically brings to claude's pre training? submitted by /u/Healthy-Challenge911 [link] [comments]

"Trusting the vision" - that's all it takes sometimes. Five @tellyawards later, The Sage speaks for itself. Huge congrats @mikejMitch and @PhantomX_ai. The Sage earned every one of these. 🏆 Proud to

"Trusting the vision" - that's all it takes sometimes. Five @tellyawards later, The Sage speaks for itself. Huge congrats @mikejMitch and @PhantomX_ai. The Sage earned every one of these. 🏆 Proud to have been part of this one.