Canva AI

Canva AI AI

Canva AI AI

Canva AI AI

Canva AI AI

Canva AI AI

Canva AI AI

Canva AI AI

Canva AI AI

Canva AI AI

Canva AI AI

How I built a 9-agent team where my agents actually talk to each other

I've been running Claude Code for 6 months, shipping my product and running content/launch ops for it. The thing that kept breaking wasn't the agents themselves. It was me. Every handoff between research and write and code and review was me copy pasting context between sessions. I was the dispatcher and context holder for my own AI team Tried gstack first. The roles are great but I'm still the one cycling through slash commands. /office-hours → /plan-eng-review → /review → /ship. Good output, but I'm orchestrating every step Spent a weekend porting my workflow over. Here's the lineup: Engineering (4 agents) arch: owns architectural decisions. Reviews proposed changes before code starts. Soul: "senior staff engineer, asks 'what breaks at 10x' before approving anything backend: owns /api, /services. Implements after arch greenlights frontend: owns /web. Picks up from backend when API contracts are stable review: reads every PR before I do. Catches the lazy stuff so I only review substantive changes Growth/Content (5 agents) research: uses ahrefs MCP to analyse keywords/opportunities/market and hands off to strategist strategist: reads research, writes campaign briefs. Doesn't write copy, only frames the angle writer: drafts blog posts given by strategist and avoid mistakes using the memory from the edits I have previously suggested editor: fact-checks and rewrites for voice. Brand style guide lives in its memory SEO: takes finalized copy, adds metadata, structures for the blog The handoff that changed everything: when backend ships an API change, it messages frontend directly. When writer finishes a draft, it pings editor. When arch blocks a change, it explains why in team chat and backend adjusts. I see the conversation happen on a canvas What actually works Each agent has a persistent Soul + Purpose + Memory. The editor knows our voice after 3 weeks. The arch agent remembers what we decided about caching last month Auto-captured Knowledge Base. The strategist remembers the pattern of our best-performing posts and create briefings accordingly Happy to share the Soul/Purpose docs if anyone wants them, they took the longest to dial in submitted by /u/Not_Average78 [link] [comments]

How Can I Automate Personalized Real Estate Seller PDFs Using AI + Canva + Property Monitor?

Hi everyone! I wanted to ask for some advice. I’m a real estate agent in Dubai, and one of the biggest hurdles is convincing sellers to list their properties online. I’ve created a marketing strategy that I currently present to sellers through a Canva PDF, and it has been working very well. However, I’d like to take it a step further and make the PDF more personalized: Ideally, I want to enter a unit number + building name, and then have ChatGPT or Claude pull data from a website I have access to called Property Monitor. The goal would be for it to automatically find: The last 3 transactions for the same series/layout on comparable floors + 3 current live listings for the same series/layout on comparable floors. Then I’d like that data to populate directly into placeholders in Canva and automatically generate a personalized PDF for the seller. Is this technically possible? I’d really appreciate any advice on the best way to set this up, what tools would be needed, and whether ChatGPT/Claude can realistically be integrated into a workflow like this. Thanks so much! submitted by /u/Omayab [link] [comments]

Claude for Small Business launched this week with 8 integrations. Most SMBs use 20+. What does that mean for the rest of the stack?

Anthropic launched Claude for Small Business on Tuesday. The package includes 15 prebuilt agentic workflows and 8 named integrations: Intuit QuickBooks, PayPal, HubSpot, Canva, DocuSign, Google Workspace, Microsoft 365, and Slack. The workflows handle things like invoice chasing, payroll planning, month-end close, sales campaigns, contract routing, and cash-flow forecasting. Owners approve before anything sends or pays. The basic facts are not in dispute. What's interesting is the math. Most small businesses use more than 8 tools. The common ones not on that list: Shopify, Stripe, Square, Klaviyo, Mailchimp, ActiveCampaign, ConvertKit, Pipedrive, GoHighLevel, Calendly, Notion, Airtable, ClickUp, Webflow, Zapier. Then vertical-specific tools: ServiceTitan, Jobber, Housecall Pro for trades. Kajabi, Teachable, Circle for creators. Toast, Resy, OpenTable for restaurants. Etsy, Faire, Printify for makers. Real question worth asking: how much of a typical small business stack does the 8-tool package actually cover, and which kinds of businesses are well-served versus left out? A rough walk through some common archetypes: Office-based service business (consultants, accountants, agencies, B2B services). Coverage is decent. Most are on Google Workspace or Microsoft 365, run finance through QuickBooks, communicate via Slack, and many use HubSpot. The 8 tools probably hit most of the core stack for this group. E-commerce or DTC brand. Coverage is thin. Shopify isn't there. Stripe isn't there. Klaviyo isn't there. The actual revenue stack of an online store is mostly outside the covered set. Local trades (HVAC, plumbing, insulation, electrical, landscaping). Coverage is essentially absent. The operating systems for these businesses are ServiceTitan, Jobber, Housecall Pro, Square for payments, sometimes QuickBooks for accounting on the back end. The customer-facing and operational tools are not on the list. Creators, coaches, course sellers. Coverage is absent. Kajabi, ConvertKit, Teachable, Circle, Substack. None of it is in the package. Restaurants and hospitality. Coverage is absent. Toast, Square POS, Resy, OpenTable, Toast Payroll. The actual operating systems are not on the list. A few patterns emerge from that walk. First, the package targets a specific kind of small business. Office-based, white-collar, finance running through QuickBooks, meetings on Google or Microsoft, sales through HubSpot. That is a real segment. Anthropic chose it deliberately and the workflows make sense for that profile. Second, for everyone else, the prebuilt workflows mostly don't touch the tools they actually use day to day. The choice isn't "use Claude for Small Business or not." It's "AI in my operations, yes, but via custom work outside this package." That's not a complaint about the launch. Building 8 polished integrations is hard and Anthropic had to pick. It's more an observation that "Claude for Small Business" as a category name covers a wider universe than what the package actually addresses on day one. Curious how this lines up with what people are actually running. If you operate a small business, how many of the 8 covered tools are in your stack? And what's NOT on that list that you'd most want connected to an AI agent? submitted by /u/KolioMandrata [link] [comments]

HTML artifacts are starting to replace Google Docs on my team (But it's missing comments)

Been using Claude to convert long-form work docs (spike readouts, architecture notes, meeting prep) into self-contained interactive HTML pages: inline SVG diagrams, sticky TOC, collapsible sections, tabbed comparisons. Publish to an artifact host, share a URL. The output is genuinely better than the equivalent Google Doc for dense technical content. But there's a glaring gap: no commenting, no suggesting edits, no inline review. Google Docs has 20 years of polish on highlight-and-comment + suggesting mode. Figma nailed comment pins on a canvas. GitHub has line-level PR review. None of those primitives have ported over to the "AI generates a static HTML artifact you share" workflow yet, partly because the artifact renders inside a sandboxed iframe, so the host platform can't just hook selection events the way Docs does on its own DOM. Feels like a real paradigm shift in how docs get made, with a real gap in how they get reviewed. What are people doing? Falling back to Slack threads on the URL? Has anyone actually shipped good commenting on iframe-isolated AI artifacts? submitted by /u/Comprehensive-Ad1819 [link] [comments]

I built a daily thought app with Claude Code, including a line-art system drawn entirely in SwiftUI

I built an iOS app called One Good Thing with Claude Code as my main coding partner. It is free to try, and the core daily card experience is free. The idea is simple: one thoughtful card per day, under two minutes. You either Carry it or Let Go, then close the app. No feed, no endless scroll, no pressure to stay inside it. What I thought might be interesting for this sub is not just the app, but one part of the build process: every illustration in the app is drawn in code. No pencil. No tablet. No image file. Each hand, bird, window, thread, dot, and curve is a SwiftUI Canvas path. The result is meant to feel hand-drawn, but it is all coordinates and Bezier curves. Claude helped in a few specific ways: Turning vague visual direction into first-pass SwiftUI Canvas paths Refactoring repeated drawing logic so the illustrations stayed consistent Catching SwiftUI edge cases, especially around view state, animations, and previews Helping me reason through Firebase, StoreKit, Cloud Functions, App Check, and Firestore rules without losing the product shape The workflow that worked best was not "make me an illustration." It was more like: Describe the feeling of the screen in plain language Ask Claude for a rough Canvas implementation Run it in the app Manually tune the coordinates until it felt less like an icon and more like a small mark someone might pause on Ask Claude to simplify or make the code safer once the direction felt right The biggest lesson for me was that Claude is much better when I treat it like a patient pair programmer, not a vending machine. It can get a first draft on screen very quickly, but the taste still has to come from you. The useful loop was: generate, inspect, adjust, reduce. The app itself also uses Claude-assisted code across the stack: SwiftUI for the iOS app, Firebase Cloud Functions, Firestore security rules, a Next.js landing page, and some AI reflection features for subscribers. But the line-art system is probably the most visible place where the collaboration shows. Would love feedback on: Whether the coded illustration idea comes through Whether this is a useful example of Claude Code beyond CRUD/app boilerplate What you would have done differently in the Claude workflow Free to try, core daily card is free. https://apps.apple.com/app/one-good-thing-daily-thought/id6759391105 submitted by /u/Evening-Strike-2021 [link] [comments]

🎉 Big news for small business. Canva is now integrated into @claudeai for Small Business, bringing the power of campaign creation to business owners doing it all. https://t.co/Gcrv8O5kjw

🎉 Big news for small business. Canva is now integrated into @claudeai for Small Business, bringing the power of campaign creation to business owners doing it all. https://t.co/Gcrv8O5kjw

Why do some people hate AI so much?

How come people hate AI so much? I do not understand why? To me AI has been helpful in terms of designing and putting my drawings to real life instead of spending hours doing it myself in Canva or paying hundreds of $$$ to animate my sketch. Also been helpful with my business ads on Instagram cause i am able to get what I visioned and I do not need to spend hours doing camera angles and having the actual product on my hands like old school advertising. Most big companies like Ulta or Sephora uses AI now on their marketing emails. For me, AI helped me save so much time making ad post cause I still work a full time job while running an online shop and time is my valuable resource. I tried to do ads the old school way and wasted 2 hours when I could have done so much in 2 hours. Now I am sitting here typing while I am waiting for chat gpt to generate me a new ad image I can use on my marketing email while in between doing laundry. submitted by /u/Active-Front1788 [link] [comments]

claude code wrote every line of our 50s launch video in remotion. it took ~100 prompts, not 1

saw another "i built [thing] with AI in one prompt" tweet today. wanted to share the other side. made our launch video in remotion last week. claude code wrote every single line of TSX. that part is real, and the workflow is actually incredible. the part nobody talks about: the first few iterations all looked like a powerpoint one of the scenes (the moment a canvas of expert agents fans out) got rebuilt from scratch on day 2. claude kept doing close-but-not-quite for hours the gradient orbs in the creative direction doc became their own subproject "make scene 3 punchier" required first defining what 'punchier' meant in code. claude knows react. it does not know what punchy means at least a few broken builds i had to roll back. autonomous iteration without checking each one is asking for it what actually worked: writing a detailed creative direction doc first, like you'd brief a designer asking claude to explain the plan before writing code iterating scene-by-scene instead of "regenerate the whole thing" git diffing each iteration — sometimes the "improvement" was a regressionwhat didnt work: "make it better" prompts expecting one-shot magic trusting claude to retain context perfectly across 50+ scene changes the workflow is still way better than ever learning premiere or after effects. but it is NOT a 5-minute job. that whole "i built this with AI in 30 minutes" genre is mostly fiction. happy to drop the final video in comments if anyone wants to see. submitted by /u/TheHol1day [link] [comments]

Stop letting your AI "hallucinate" your architecture.

Most AI coding failures aren't caused by a lack of intelligence; they’re caused by Confident Divergence. This happens when an AI makes a "correct-looking" assumption about your architecture that is fundamentally wrong. I built MDD (Manual-Driven Development) to kill Confident Divergence by fundamentally changing who is in charge of the logic. The MDD Rule: The Manual is the Engine In MDD, we have inverted the power structure of the codebase. The code is no longer the authority; it is simply a downstream implementation. The Manual is the Engine: You don't "update the feature" in the code. You update the Manual, and the manual drives the changes. If the code and the manual disagree, the code is wrong. Period. Maintain the Engine, Not the Legacy: You build on the manual every single time you iterate. You manage the high-level logic; the AI manages the low-level syntax. Two-Zone Architecture: We keep documentation in a separate zone from the source code, allowing Claude to build a persistent system memory that doesn't rot as the codebase grows. CRITICAL: This is NOT "Spec-Driven Development" It is easy to mistake MDD for Spec-First development, but the distinction is vital for long-term project health: Spec-Driven: The spec is a launching pad. Once the code is written, the code becomes the truth. The spec is left behind to rot and eventually lie to you. Manual-Driven: The Manual is a living control surface. You never "graduate" to the code. The Manual stays in sync for the entire lifecycle of the software. The "Token" Side Effect Saving tokens isn't just about cost - it's about the physical limits of AI reasoning. When you force an AI to "read" your entire messy source tree, you're wasting its potential. Context Compression: The MDD Manual is high-signal and low-noise. It is a fraction of the size of your source tree. Productivity via Precision: Because the AI reads a 200-token spec instead of 20,000 tokens of raw code, it hits the mark on the first try. Stop paying for "AI archaeology." Built on a Proven Pedigree (800+ Stars) MDD is the culmination of a series of high-impact open-source projects designed for the Claude Code ecosystem: Claude Code Mastery: Foundational guide with 500+ stars. Claude Code Mastery Starter Kit: Implementation framework with 300+ stars. MDD has now evolved into a standalone global npm package with a professional Terminal GUI (TUI) and an Interactive Browser Canvas. Stop letting your AI guess. Take control of the logic and let the Manual drive. Get Started: npm install -g u/thedecipherist/mdd Core Framework: github.com/TheDecipherist/mdd Terminal Dashboard: github.com/TheDecipherist/mdd-tui Interactive Canvas Dashboard: github.com/TheDecipherist/mdd-dashboard "I want to personally thank everyone who has supported my projects and shared feedback over the past several months. Building MDD has fundamentally changed how I work, without question. Today, every one of my projects is driven entirely by MDD. I start every new build with the Starter Kit and the MDD package, and the productivity spike has been massive. The most surprising 'side effect'? I actually save money on compute. I used to spend $200/month on the Claude Max x20 subscription and still ran out of usage several times a week. Since moving to MDD, I’ve downgraded to the x5 subscription ($100/month) and I’m no longer hitting those weekly walls. (Though I'm getting close lol!)" MDD is the next evolution in AI-native software engineering. submitted by /u/TheDecipherist [link] [comments]

Love Claude auto-fill giving itself praise

100% misread it the first time as “both look good, keep it up” submitted by /u/OsbornHunter [link] [comments]

Why is no one talking about the fact that Artifacts are not loading in mobile apps, either for Android or iOS?

Here's what Claude itself dug up on this topic # Why Claude Artifacts Fail to Load in the Claude iOS App — Research Findings (May 2026) ## Direct Answer The failure you are seeing on iPhone — where even a one‑line ` Hello World ` HTML artifact or a trivial React component hangs and then shows *“Loading is taking longer than expected / There may be an issue with the content you’re trying to load / The code itself may still be valid and functional”* — is **not a bug in the code you (or Claude) wrote**. It is a known, structural limitation of how the Claude iOS app renders artifacts inside its embedded WebView. The artifact sandbox iframe (served from `claudeusercontent.com`) is unable to complete its `postMessage` handshake with the host page when the host is the iOS app’s WKWebView rather than the `https://claude.ai\` browser origin, so the iframe stays empty and the app eventually times out with the generic “loading is taking longer than expected” message. Multiple independent sources in early 2026 explicitly describe Claude’s mobile apps as having “restricted” or “no” artifact rendering support, and Anthropic’s own Help Center quietly scopes the more advanced artifact features (“MCP integration” and “persistent storage”) to *“Claude web and desktop”* only — mobile is not listed. There is no hidden toggle in the iOS app that fixes this; the only reliable workarounds are to view the artifact in mobile Safari (logged in to claude.ai) or to switch to the desktop browser / Claude Desktop app. ----- ## 1. The Root Cause: WebView Origin Mismatch in the `postMessage` Handshake Every Claude artifact — HTML or React — is rendered inside a cross‑origin sandbox iframe loaded from `https://www.claudeusercontent.com\`. Before that iframe will execute or display anything, it performs a `postMessage` “handshake” with the parent page to confirm that the parent is a legitimate, trusted Claude surface. The handshake code (visible in the minified bundle as `requestHandshake()` in `7905-…js`) calls `window.postMessage(..., targetOrigin)` and expects the parent’s origin to be `https://claude.ai\`. A bug report filed against Anthropic on April 1, 2026 (GitHub issue [anthropics/claude-code #42064](https://github.com/anthropics/claude-code/issues/42064), “Published artifacts show blank screen — postMessage origin mismatch (app://localhost)”) documents the exact failure pattern in detail. The console errors observed are: ``` Uncaught SyntaxError: Failed to execute 'postMessage' on 'Window': Invalid target origin 'app://localhost' in a call to 'postMessage'. at 7905-1f7e271de70b4d3c.js:1:6920 (requestHandshake) Failed to execute 'postMessage' on 'DOMWindow': The target origin provided ('https://www.claudeusercontent.com') does not match the recipient window's origin ('https://claude.ai'). ``` The critical phrase is **`app://localhost`**. That is the custom URL scheme used by Capacitor‑/Ionic‑style hybrid iOS apps when they load their bundled web assets inside a `WKWebView` (Android equivalents are `https://localhost` or `capacitor://localhost`). When the Claude iOS app loads the chat UI inside its WebView, the document origin is *not* `https://claude.ai\` — it is something like `app://localhost`. When the artifact iframe then tries to `postMessage` back to its parent using `https://claude.ai\` as the expected origin, the browser engine refuses to deliver the message because the actual parent origin doesn’t match. The handshake never completes, the iframe never receives its bootstrap payload, and the iOS app’s UI eventually surfaces the timeout fallback you are seeing. This explains every part of the symptom set: - It happens with the simplest possible artifacts (a single ` ` tag) because the failure is at the *transport / handshake* layer, before the artifact’s actual content is ever evaluated. - It happens identically for HTML and React artifacts (they share the same sandbox iframe loader). - It works in desktop browsers, because there the parent origin is the expected `https://claude.ai\`. - The error message even concedes the point: *“The code itself may still be valid and functional”* — Anthropic’s own UI is admitting it never got to run the code. The same class of issue is well documented by hybrid‑app developers more generally: Capacitor’s WKWebView serves the app from a custom scheme, and cross‑origin iframe `postMessage` calls fail with errors like *“Blocked a frame with origin ‘https://domain.com’ from accessing a frame with origin ‘capacitor://domain.com’. The frame requesting access has a protocol of ‘https’, the frame being accessed has a protocol of ‘capacitor’. Protocols must match.”* (Capacitor issue #5225). iOS’s WKWebView, since iOS 14, also enables Intelligent Tracking Prevention for third‑party iframes by default, further restricting cross‑origin iframe behavior. In short: this is an architectural mismatch between (a) Anthropic’s artifact sandbox, which was designed to be embedded only in t

(free) Built a remote cross platform agentic app

Hi everyone. I’ve been building Mate, a local-first AI coding workspace that lets you control your dev computers from desktop and mobile: macOS, Linux, Windows, iOS, Android, and Meta Quest. I built Mate for myself first. My dev sessions can turn into long hours of being physically tied to my desk, and I wanted a way to move around, take care of my back and posture, do some exercises, or even fly in Microsoft Flight Simulator in VR without feeling like I had fully stepped away from work. Since Mate also runs directly on Meta Quest, the same remote workspace can come with me there too: agents, IDE, terminal, previews, and notifications when something needs attention. A lot of people seem to want remote control for AI coding agents, but most solutions still feel incomplete to me: Telegram bots, chat commands, notifications, or remote desktop. They can be useful workarounds, but they don’t really cover the whole workflow. They work until the agent gets stuck and you need to inspect the code, edit a file, run a command, approve a tool call, or preview the app. Mate tries to make the whole loop remote: control multiple computers from any device run AI coding agents like Claude Code, Codex, and Copilot use a real IDE and file tree run real terminals open web/app previews from your phone approve/reject agent tool calls transfer files between devices get notifications when agents finish or need input set up automations with schedules, webhooks, file watchers, agent prompts, and shell scripts use encrypted transport and secure pairing by default use the same workspace from desktop, mobile, or VR use canvas for quick visual/design work The desktop app runs the server on Mac, Windows, or Linux. Phones, tablets, and Quest connect over local Wi-Fi, with no cloud relay. Mobile and VR aren’t just remote viewers — they have the same core workspace: agents, terminal, IDE, previews, automations, file transfer, multi-computer switching, and more. The use case I keep coming back to is: start an agent on one computer, walk away, open Mate on your phone or Quest, check what happened, approve actions, edit code, run commands, preview the app, and keep going without running back to your laptop — or start something new without walking back to the desk. For example, I was developing a piano app on my work computer, not my main one. I could work on it from my main computer, then the next morning grab my phone, preview it, and keep working from there. I’m trying to make it feel closer to a remote Cursor/Warp-style workspace, but built for the agent workflow and usable across all your devices. Would love feedback from people using AI coding agents heavily: is this the kind of workflow you’ve been wanting, or am I solving my own weird problem? Anyway, I hope some of you find it useful. It’s free, native, has a lot of features, and is designed to stay super lightweight on resources. You can download it now for macOS, Linux, and Android APK. Google Play and App Store are in progress (as well as Microsoft Store). For iOS, there’s a TestFlight version available if you ask for an invite in Discord. https://mate.iwwwan.com submitted by /u/matiizen [link] [comments]

Introducing AI finetuner, Source available and free Claude skill to fine tune your vibe coded UI with live preview

​ Fine-tuning UI with AI right now: "Make the shadow softer." "Stronger." "No, less." "Go back." "A bit more." 17 messages later, you've spent more tokens than the shadow is soft. I built something that breaks the loop. AI Fine-Tuner — free, source-available — a plugin that teaches AI coding agents to stop chatting and hand you an actual GUI for your component. Sliders. Color pickers. Live preview. Drag until it feels right. The AI agent automatically opens the editor window for you on your default browser once ready. Then the magic part: you click one button. The tuner outputs a structured handoff with your exact tuned values mapped to their targets in your code. Paste it back to your AI — it reads the mapping, opens your source, and applies everything precisely. No CSS guesswork, no syntax translation, nothing for you to interpret. Why it's not just another slider playground: Bespoke controls — no raw CSS names Sliders are named in plain English: "Glow softness", "Card lift", "Hover intensity" — not "box-shadow-spread-radius" A single slider can drive multiple properties at once. The AI doesn't expose CSS to you; it wires meaningful, human-named controls to your element. 3 prebuilt editor templates — guaranteed polish, every time The AI doesn't design the editor. It picks one of three prebuilt templates and fills in your component: - single.html — 1 control, full-screen preview - small.html — 2-4 controls, preview + bottom grid - full.html — 5+ controls, grouped sidebar + preview Slider chrome, color picker, layout, animations, infinite canvas with zoom/pan — all pre-built. No "the AI generated an ugly panel" failure mode. And once it's open, you tune in pure browser JS — no AI sitting in the loop per drag. Color picker + hex paste Pick it or paste it. Done. Animation tuning Not just static styles — timing, easing, keyframes too. Works on ANY platform — language-agnostic Flutter, SwiftUI, React Native, Tailwind, vanilla CSS, SVG — the AI is meta-prompted to rebuild your component in HTML/CSS for the tuning preview (the web is where sliders work). When you copy back, the AI applies the tuned values to your real source, in your component's original framework. You never leave Flutter to tune Flutter. Infinite canvas + multiple previews Drop 5 variations side-by-side and tune them together. The template is a starting point — experiment freely. Contextually named presets Every tuner ships with thoughtful presets ("Subtle," "Bold," "Brutalist," whatever fits) so you can ping-pong through variations in one click. No new software It's a skill, not an app. Full install guides for Claude Code. One command and you're in. Website and Live demos: https://muhamadjawdatsalemalakoum.github.io/aifinetuner Free. Source-available. #AI #DeveloperTools #ClaudeCode #BuildInPublic #OpenSource #AITools #FrontendDev submitted by /u/keonakoum [link] [comments]

5 enterprise AI agent swarms (Lemonade, CrowdStrike, Siemens) reverse-engineered into runnable browser templates.

Hey everyone, There is a massive disconnect right now between what indie devs are building with AI (mostly simple customer support chatbots) and what enterprise companies are actually deploying in production (complex, multi-agent swarms). I wanted to bridge this gap, so I spent the last few weeks analyzing case studies from massive tech companies to understand their multi-agent routing logic. Then, I recreated their architectures as runnable visual node-graphs inside agentswarms.fyi (an in-browser agent sandbox I’ve been building). If you want to see how the big players orchestrate agents without having to write 1,000 lines of Python, I just published 5 new industry templates you can run in your browser right now: 1. 🛡️ Insurance: Auto-Claims FNOL Triage Swarm Inspired by: Lemonade’s AI Jim, Tractable AI (Tokio Marine), and Zurich GenAI Claims. The Architecture: A multimodal swarm where a Vision Agent assesses uploaded images of car damage, a Policy Agent cross-references the user's coverage database, and a Fraud-Detection Agent flags inconsistencies before routing to a human adjuster. 2. ⚙️ Manufacturing: Quality / Root-Cause Analysis Swarm Inspired by: Siemens Industrial Copilot, BMW iFactory, Foxconn-NVIDIA Omniverse. The Architecture: A sensor-data ingest node triggers a diagnostic swarm. One agent pulls historical maintenance logs via RAG, while a SQL Agent queries the parts database to identify failure patterns on the assembly line. 3. 🔒 Cybersecurity: SOC Alert Triage & Response Inspired by: Microsoft Security Copilot, CrowdStrike Charlotte AI, Google Sec-Gemini. The Architecture: The ultimate high-speed parallel routing swarm. When an anomaly is detected, specialized sub-agents simultaneously investigate IP reputation, analyze the malicious payload, and draft an incident response ticket for the human SOC analyst to approve. 4. 📚 Education: Adaptive Socratic Tutor & Auto-Grader Inspired by: Khan Academy Khanmigo, Duolingo Max, Carnegie Learning LiveHint. The Architecture: A strict "No-Direct-Answers" routing loop. The Student Agent interacts with the user, but its output is constantly evaluated by a hidden "Pedagogy Agent" that ensures the AI is guiding the student to the answer via Socratic questioning rather than just giving away the solution. 5. 📦 Retail/E-commerce: Returns & Reverse-Logistics Swarm Inspired by: Walmart Sparky, Mercado Libre, Shopify Sidekick. The Architecture: A logistics orchestration loop that analyzes a customer return request, checks inventory levels in real-time, determines if the item should be restocked or liquidated (based on shipping costs vs. item value), and autonomously issues the refund. How to play with them: You don't need to spin up Docker containers or wrangle API keys to test these architectures. You can load any of these 5 templates directly into the visual canvas, see how the data flows between the specialized nodes, and try to break the routing logic yourself. Link: https://agentswarms.fyi/templates submitted by /u/Outside-Risk-8912 [link] [comments]

Claude's Canva integration actually replaced my design workflow , here's the exact process (not what I expected)

I ignored this feature for weeks. Assumed it was another "AI suggests layouts" gimmick. Tested it out of curiosity and it completely changed how I create visual content. Here is what it actually does and the workflow that gets good results. WHAT IT IS (this is what most people miss) This is not AI generating images or suggesting layouts inside Canva. Claude structures the entire design — slide layouts, content, visual hierarchy — and exports it directly into your Canva account as a fully editable project. You receive a Canva file, not a flat image. Every element is independently editable like any template. The shift: instead of starting from a blank canvas, you start from an 80% complete design and spend your time on brand alignment. SETUP (one-time) Claude dashboard → Customize → Skills → Connectors → Canva → Connect OAuth, takes 60 seconds. After this, "Claude Design" appears as a separate mode in your dashboard. This is where you work, not standard chat. THE WORKFLOW Create new project in Claude DesignSpecify format: Instagram Carousel, LinkedIn Post, Presentation, etc.This sets dimensions and layout constraints before generation starts. Select High Fidelity modeLow Fidelity = rough draftHigh Fidelity = usable outputAlways High Fidelity for anything going to export. Upload visual references (optional but high impact)Instead of describing the style you want in text — which is imprecise —upload 2-3 examples whose aesthetic matches your target.Claude reads the visual patterns. Output accuracy improves significantly. Write a specific promptWeak: "Create a carousel about productivity"Strong: "5-slide Instagram carousel. Bold 6-word headline per slide.Max 20 words supporting text. Minimal white background. Topic: 5 habitsthat save 2 hours daily. Slide 1 = hook/problem. Slides 2-5 = one habiteach. Slide 5 = CTA."Specificity matters. Fewer assumptions = fewer revisions. Answer Claude's clarifying questionsClaude asks before generating, not after. It is refining structure,content depth, and design direction.Most people try to skip this. Don't. These questions are what preventyou from getting a design you need to rebuild from scratch. Let it generate (2-4 minutes)Review the preview for structure correctness.At this stage you are checking: are slides in the right order, iscontent in the right places, does the hierarchy make sense.Colours, fonts, exact wording — all editable in Canva.Don't try to fix those here. Export to CanvaOne button. Design transfers as a new editable project. Finalise in CanvaApply your brand colours (Claude's defaults are generic, always replace)Swap fonts for your brand fontsAdd logo/profile photoAdjust any spacing issuesThis takes 5-10 minutes for standard brand alignment. TOTAL TIME From prompt to exported finished carousel: 12-15 minutes. vs manual template selection + layout + content: usually 30-45 minutes for me. HONEST LIMITATIONS Colour choices are generic and need replacing every time. Font selection is limited to Claude's defaults. Highly custom asymmetric layouts sometimes need significant Canva editing. Standard grid carousels: works very well. Complex custom layouts: plan for more editing time. The meaningful change is not speed. It is removing the blank canvas decision loop , the 20 minutes most people spend choosing and adjusting templates before they have written a single word of content. Has anyone else tested this? Curious whether it holds up for non-carousel formats like presentations or LinkedIn document posts. submitted by /u/Grewup01 [link] [comments]