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This is what practical AI automation looks like. Handoff - AI Estimates for Remodelers’s H1 turns a complete residential plan set into a material takeoff, then carries the same project data directly into the estimate and customer conversation. No rebuilding the scope. No entering the job twice. No losing... show more

Rajesh Kumar

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49,859 просмотров • 2 месяцев назад •via X (Twitter)

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Don’t DIY your AI: building a custom Agentforce agent is as simple as describing the job and integrating it directly into your workflow—no separate models, hyperscalers, databases, or AI engineers needed! With all apps, data, AI, and workflows seamlessly integrated on the Salesforce Platform, humans + agents = customer success. This is what AI was meant to be! #DF24

Don’t DIY your AI: building a custom Agentforce agent is as simple as describing the job and integrating it directly into your workflow—no separate models, hyperscalers, databases, or AI engineers needed! With all apps, data, AI, and workflows seamlessly integrated on the Salesforce Platform, humans + agents = customer success. This is what AI was meant to be! #DF24

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It took one conversation to build a complete content campaign. Hedra Agent managed the entire workflow—from concept to images, video, and final assets. No prompts. No switching between tools. No friction. This feels like the “coding agent” moment for visual content.

It took one conversation to build a complete content campaign. Hedra Agent managed the entire workflow—from concept to images, video, and final assets. No prompts. No switching between tools. No friction. This feels like the “coding agent” moment for visual content.

Muhammad Shahzad

110,134 просмотров • 6 месяцев назад

Creating the content is only half the job. Publishing it shouldn’t become a second workflow. I used Framia to turn a single idea into a complete 20-second cinematic campaign for a fictional energy drink, building the concept, reference assets, individual scenes, and final edit inside one visual workspace. Then came the part I found genuinely useful: Instead of downloading the video, switching platforms, and rebuilding the post manually, I used Social Publisher to publish it directly from Framia. From the first prompt to the finished ad to the live post, the entire creative-to-publishing workflow happened in one place. This is what an all-in-one AI creative workspace should feel like. ✨ Try Framia:

Creating the content is only half the job. Publishing it shouldn’t become a second workflow. I used Framia to turn a single idea into a complete 20-second cinematic campaign for a fictional energy drink, building the concept, reference assets, individual scenes, and final edit inside one visual workspace. Then came the part I found genuinely useful: Instead of downloading the video, switching platforms, and rebuilding the post manually, I used Social Publisher to publish it directly from Framia. From the first prompt to the finished ad to the live post, the entire creative-to-publishing workflow happened in one place. This is what an all-in-one AI creative workspace should feel like. ✨ Try Framia:

Manish Kumar Shah

67,396 просмотров • 1 месяц назад

The annoying part of AI content is not making one clip. It is getting a rough idea through the entire production line without losing half the day between tabs. Script. Voiceover. Visuals. Music. Assembly. Approval. Publishing. Then the boring ops layer after it: organizing, managing and keeping the workflow connected to the tools where the business runs. That is the gap Scotty is going after. It works less like a single AI toy and more like a creative director plus operations copilot. You give it the brief, approve the plan, and it turns the idea into a finished creative asset while staying connected to apps like Shopify, Gmail and Google Sheets. That is the version of AI tools creators actually need. Not another tab for one task. A workflow that keeps moving after the first prompt.

The annoying part of AI content is not making one clip. It is getting a rough idea through the entire production line without losing half the day between tabs. Script. Voiceover. Visuals. Music. Assembly. Approval. Publishing. Then the boring ops layer after it: organizing, managing and keeping the workflow connected to the tools where the business runs. That is the gap Scotty is going after. It works less like a single AI toy and more like a creative director plus operations copilot. You give it the brief, approve the plan, and it turns the idea into a finished creative asset while staying connected to apps like Shopify, Gmail and Google Sheets. That is the version of AI tools creators actually need. Not another tab for one task. A workflow that keeps moving after the first prompt.

Kiyoro

10,421 просмотров • 3 месяцев назад

THIS IS F**KING GOLD Claude can now produce fully animated YouTube videos directly inside your chat. No video editors. No external rendering tools. No timeline slicing. Nobody is talking about this workflow yet, but connecting Claude to a custom Model Context Protocol (MCP) completely changes multimedia creation. Here is what happens from a single prompt: → Script generation: Claude drafts a structured, production-ready script. → Voice narration: Converts the text into timed voiceover audio. → Scene animation: Generates and sequences animated visual assets. All executed natively inside the conversation. The era of copying prompts into 4 different AI tools is over. MCP turns Claude into an end-to-end media engine. Bookmark to try this setup when you build your next workflow.

THIS IS F**KING GOLD Claude can now produce fully animated YouTube videos directly inside your chat. No video editors. No external rendering tools. No timeline slicing. Nobody is talking about this workflow yet, but connecting Claude to a custom Model Context Protocol (MCP) completely changes multimedia creation. Here is what happens from a single prompt: → Script generation: Claude drafts a structured, production-ready script. → Voice narration: Converts the text into timed voiceover audio. → Scene animation: Generates and sequences animated visual assets. All executed natively inside the conversation. The era of copying prompts into 4 different AI tools is over. MCP turns Claude into an end-to-end media engine. Bookmark to try this setup when you build your next workflow.

Mayor.

116,445 просмотров • 1 месяц назад

THIS 19-YEAR-OLD GIRL OPENED THE HERMES SETUP WIZARD AND SHOWED HOW A $0 INSTALL CAN TURN A $180/MONTH AGENT STACK INTO ONE LOCAL WORKFLOW she is not showing another AI logo. she is showing the boring screen that decides the whole game: provider, auth method, Claude login, Anthropic API key, local model, and where the agent actually runs most people burn money in tiny pieces. $20 on Claude, $30-70 on API calls, $25-50 on automation tools, $99 on an agent wrapper, then another $10-20 every time the workflow breaks and needs a new tool Hermes changes the math. set it up once, connect the model once, run the same type of work through one agent, and let repeated tasks turn into saved skills instead of paying tokens to explain the same process again that is where the savings actually come from. not from “free AI”, but from not rebuilding the workflow 40 times. research reports, pricing scans, customer reviews, competitor maps, client audits, all moving through the same agent layer the setup screen looks boring until you understand what it means. whoever controls the provider, the API, the memory, and the skills folder controls the whole workflow this is why Hermes is interesting. not because it looks cool on a laptop, but because it turns AI from something you rent into something you slowly build on your own machine

Gipp 🦅

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I built an AI WhatsApp agent that turns any business website into a 24/7 support & sales machine. With 200M+ businesses around the world relying on WhatsApp for customer communication, the TAM for this type of simple automation is significant. Here's the n8n workflow that's handling customer support and closing leads while business owners sleep: → Drop in any business URL → AI scrapes the entire site and builds a knowledge base → WhatsApp bot answers customer questions instantly → Converts inquiries into booked calls without human intervention Most businesses still have customers sitting in unread WhatsApp messages for hours. This workflow responds in seconds. The best part: It's simple. This took me 10 minutes to set up once the automation was built. If you want the n8n workflow, all the prompts, and a full setup video: Comment "WHATSAPP" Like + RT Follow me (so I can DM you) I'll send everything over.

I built an AI WhatsApp agent that turns any business website into a 24/7 support & sales machine. With 200M+ businesses around the world relying on WhatsApp for customer communication, the TAM for this type of simple automation is significant. Here's the n8n workflow that's handling customer support and closing leads while business owners sleep: → Drop in any business URL → AI scrapes the entire site and builds a knowledge base → WhatsApp bot answers customer questions instantly → Converts inquiries into booked calls without human intervention Most businesses still have customers sitting in unread WhatsApp messages for hours. This workflow responds in seconds. The best part: It's simple. This took me 10 minutes to set up once the automation was built. If you want the n8n workflow, all the prompts, and a full setup video: Comment "WHATSAPP" Like + RT Follow me (so I can DM you) I'll send everything over.

David Roberts

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I already use ChatGPT every day. Now I can turn those conversations into polished presentations without leaving the chat. With Gamma's new Connectors, I connected ChatGPT directly to Gamma, asked it to build a campaign launch deck, and within moments I had a presentation ready to share. No copy-pasting. No rebuilding slides. No switching between apps. Just one workflow from idea to a professional deck. If you already rely on ChatGPT or Claude, this is one of the most useful AI workflows I've tried. Try Gamma's new Connectors:

I already use ChatGPT every day. Now I can turn those conversations into polished presentations without leaving the chat. With Gamma's new Connectors, I connected ChatGPT directly to Gamma, asked it to build a campaign launch deck, and within moments I had a presentation ready to share. No copy-pasting. No rebuilding slides. No switching between apps. Just one workflow from idea to a professional deck. If you already rely on ChatGPT or Claude, this is one of the most useful AI workflows I've tried. Try Gamma's new Connectors:

Alamin

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ChatGPT connecting to external data sources offers a glimpse into what AI interoperability looks like. Ask any question in ChatGPT and it can now pull data from Box. The future of AI is AI Agents that can access your systems and data to complete any task for you.

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Aaron Levie

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THIS CLAUDE WORKFLOW CAN BE TURNED INTO A $2,970/MO DESIGN MACHINE Simple offer: $99 for a pack of banners, thumbnails, article covers or launch visuals for people who need clean graphics fast. The client sends a rough idea. Claude turns it into a proper visual brief: layout, colors, lighting, mood and format. Then the image model turns it into finished visuals in minutes. 30 small orders a month at $99 = $2,970. No opening Figma from zero. No endless prompt tweaking. No long back-and-forth for every small graphic. Most people see another cool AI demo. The better move is turning the workflow into something people can actually buy.

Gipp 🦅

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Most people lump prompt engineering, context engineering, and graph engineering together. Here's the simple breakdown: - Prompt engineering: how you ask the AI a better question. - Context engineering: how you give the AI better information. - Graph engineering: how you design the work around the AI so it stops living inside one giant chat. Example: researching a startup idea. The chat way: - One model, one pass. - It decides what matters - Researches the market - Interprets the evidence - Writes the recommendation - Grades its own confidence. The graph way: - A planner breaks the question into angles - 5 researchers split up: customer, competitors, distribution, pricing, risks - A skeptic tries to kill the weak findings - A merger turns what survives into a one-page recommendation - You approve before you act Same written report. Completely different work behind it. Think: - Prompt = the question - Context = the information - Graph = the workflow Design the workflow. That's where it clicks.

The Startup Ideas Podcast (SIP) 🧃

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I stopped using 5 different AI tools. Instead, I created a complete AI video project using just ONE tool. No switching between image generators, editors, animation tools, or voice tools. Everything stayed inside OpenArt. Here’s the full workflow from idea → finished video 👇

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Manish Kumar Shah

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An AI male and an AI female trying to help a customer with her phone plan! 😲😂 This could be what the future looks like! Hilarious! 🤣🤣🤣

An AI male and an AI female trying to help a customer with her phone plan! 😲😂 This could be what the future looks like! Hilarious! 🤣🤣🤣

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ONE AI AGENT CAN TURN EMPTY BACKYARDS INTO POOL CONTRACTOR LEADS BEFORE THE HOMEOWNER EVEN ASKS FOR A QUOTE It works like this: AI scans expensive homes, finds large backyards without pools, generates a realistic pool preview, estimates the potential value increase, and turns it into a personalized sales pitch. It’s a fully automated workflow that: > Finds homes worth $600K-$2M > Detects large unused backyards with no pool > Generates a realistic before/after pool visualization > Estimates project cost and potential home value upside > Turns everything into a ready-to-send offer for the homeowner or contractor The valuable part is not that AI can make a pretty image. It’s that the buyer sees the outcome before anyone sells it to them. That changes the whole offer. You are not saying "we build pools." You are showing the exact pool that could exist in their backyard. And in the article below you’ll find 4 more AI automations that can turn boring workflows into real revenue

Asteri

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Agents changed software forever. For everyone. You won't need to "learn a tool" anymore. Instead, you'll tell tools what you want, and they will figure out how to do it. This is a huge shift. I'm currently working with Spoki, an AI agentic conversational platform. After looking at this, you'll never think of a CRM the same way. A traditional CRM manages contact data. Spoki manages the entire customer journey (marketing, sales, and customer care) in a single continuous flow across WhatsApp, SMS, and Voice AI. AI will dismantle the old traditional tools one by one. Think of it this way: Instead of stitching together a bunch of tools to talk to your customers, you have a single conversation that runs the entire relationship.

Agents changed software forever. For everyone. You won't need to "learn a tool" anymore. Instead, you'll tell tools what you want, and they will figure out how to do it. This is a huge shift. I'm currently working with Spoki, an AI agentic conversational platform. After looking at this, you'll never think of a CRM the same way. A traditional CRM manages contact data. Spoki manages the entire customer journey (marketing, sales, and customer care) in a single continuous flow across WhatsApp, SMS, and Voice AI. AI will dismantle the old traditional tools one by one. Think of it this way: Instead of stitching together a bunch of tools to talk to your customers, you have a single conversation that runs the entire relationship.

Santiago

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ImagineArt

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What's the tool stack for a marketing engineer? Here's how what I'd use: Start with GrokBot. It is connected to the X ecosystem, so give it 4 clear lanes: - Watch the competitors and report what changed - Watch customer language on X and Reddit - Watch the creators in the niche and find formats to test - Watch the ads and the landing pages Then keep the other work in its own position. Claude and Codex build the repo, the landing pages, and the small internal tools. Hermes Agents run on a schedule, with memory and approval: "every Monday morning, build me a market brief." Creative models such as FAL AI and Higgsfield make ads, thumbnails, and mockups faster. Local AI holds the data that must stay private: customer transcripts, regulated notes, pricing plans. Local AI also helps when a cloud tool is too expensive. Start with one lane. Add the next one when the first one works.

The Startup Ideas Podcast (SIP) 🧃

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MR ANDERSON

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ANTHROPIC OPEN-SOURCED A FREE REPO THAT TURNS CLAUDE INTO A SALES REP, A MARKETER AND A FINANCE LEAD. PEOPLE ARE ALREADY SELLING THIS AS A SERVICE You're not prompting from scratch. You're hiring a department How to set it up: 1. Open Cowork. In the Claude desktop app, open Cowork and go to Customize. You'll see a Browse Plugins button. That's the marketplace 2. Pick your first role. Inside you'll find sales, marketing, finance, legal, data, customer support, product management and more. Each plugin has the skills for that role already baked in, plus the connectors it would use. Install the one you need most 3. Put it to work standalone. It works day one with no setup. Trigger a workflow with a slash command like /sales:call-prep or /data:write-query, paste your notes, and it already knows what good output looks like 4. Connect its tools to supercharge it. Authorize the tools that role uses, your CRM, your analytics, your data warehouse. Standalone is the intern. Connected is the senior hire 5. Build the rest of the team. Install more roles and they work together in one session. Data pulls the numbers, finance reconciles them, marketing turns it into a report. One operator, a full cross-functional team, no payroll This is the same base layer Claude for Legal and Claude for Financial Services are built on. You're getting it for free Full breakdown in my article below. Bookmark this

ANTHROPIC OPEN-SOURCED A FREE REPO THAT TURNS CLAUDE INTO A SALES REP, A MARKETER AND A FINANCE LEAD. PEOPLE ARE ALREADY SELLING THIS AS A SERVICE You're not prompting from scratch. You're hiring a department How to set it up: 1. Open Cowork. In the Claude desktop app, open Cowork and go to Customize. You'll see a Browse Plugins button. That's the marketplace 2. Pick your first role. Inside you'll find sales, marketing, finance, legal, data, customer support, product management and more. Each plugin has the skills for that role already baked in, plus the connectors it would use. Install the one you need most 3. Put it to work standalone. It works day one with no setup. Trigger a workflow with a slash command like /sales:call-prep or /data:write-query, paste your notes, and it already knows what good output looks like 4. Connect its tools to supercharge it. Authorize the tools that role uses, your CRM, your analytics, your data warehouse. Standalone is the intern. Connected is the senior hire 5. Build the rest of the team. Install more roles and they work together in one session. Data pulls the numbers, finance reconciles them, marketing turns it into a report. One operator, a full cross-functional team, no payroll This is the same base layer Claude for Legal and Claude for Financial Services are built on. You're getting it for free Full breakdown in my article below. Bookmark this

Yarchi

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I think we're entering a new phase of AI video. For the first time, I generated a 4K product ad from a single image directly inside CapCut. No extra tools. No complicated workflow. Just image → video → edit → export. Here's what happened 👇

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