Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Building a SaaS product usually involves more than just writing code. You need market research, product planning, website design, and someone to catch problems before launch. I wanted to see if an entire workflow could happen inside one AI workspace. So I tested Teamily AI 2.0 by building LaunchPilot,... a SaaS platform that helps founders turn product ideas into structured launch plans. I created a team of specialized AI agents: → Research Agent analyzed competing products, audience needs, and opportunities in the market. → Product Strategy Agent used those findings to plan the platform's features and user experience. → Website Builder turned the strategy into a functional website with interactive sections. → Review Agent checked the output for inconsistencies, unclear messaging, and unsupported claims. Then I changed the target audience from solo founders to startup teams. Instead of explaining the changes to every agent individually, I updated the requirements in our shared conversation so the team could adapt its work. Research, planning, website creation, and revisions are all connected inside the same workspace. That's what makes Teamily interesting. It's not just about getting answers from AI, but coordinating specialized agents and people to complete an actual project. Explore:show more

Dhaval Makwana

44,453 subscribers

52,140 views • 3 days ago •via X (Twitter)

Science & Technology Finance

Anya Rossi• Live Now

Private livecam show

29 Comments

Blair Hayes3 days ago

@Teamily_AI An AI team workflow for full SaaS launch is brilliant

Amelia | AI & Tech3 days ago

@Teamily_AI Coordinated agents beat isolated answers for real work daily

Shara3 days ago

@Teamily_AI Chaining research, planning, design and QA tests agent coordination well.

Leon Ai | tech & tools3 days ago

@Teamily_AI Coordinated agents beat single prompt answers

Aaliya3 days ago

@Teamily_AI This is a good way to turn an idea into something people can actually use.

Aryan Rakib3 days ago

@Teamily_AI The shared context between agents is what really makes this workflow stand out.

Tanvir3 days ago

@Teamily_AI This is a great example of AI-powered teamwork.

Aakash Kanojiya3 days ago

@Teamily_AI This is where multi-agent systems start making sense for real businesses.

JORDAN3 days ago

@Teamily_AI Thanks for sharing this

Parul Gautam3 days ago

@Teamily_AI AI is moving from answering questions to getting actual work done.

carmilla3 days ago

@Teamily_AI The storytelling makes the product reveal so much more engaging

Utkarsh Sharma3 days ago

@Teamily_AI Going from market research to a working website in one workspace is impressive.

Roshni3 days ago

@Teamily_AI So true! Coding is only half the battle when building a SaaS.

Alice The Ai Expert3 days ago

@Teamily_AI Teamily turns one idea into a full launch!

Manish Kumar Shah3 days ago

@Teamily_AI This could make early-stage product development much more efficient.

Waz3 days ago

@Teamily_AI plant one wrong claim in the research notes and see if Review Agent stops it before the site goes out. that tells you if the review step is real.

Vini3 days ago

@Teamily_AI Whole SaaS workflow, one agent.

ᗩshhh3 days ago

@Teamily_AI appears pretty useful

Mujeeb Ahmed3 days ago

@Teamily_AI Teamily 2.0 looks impressive!

Evia AI3 days ago

@Teamily_AI Impressive demonstration showing seamless collaboration beautifully orchestrated

Md Riyazuddin3 days ago

@Teamily_AI This is where AI workspaces get really interesting.

Vyera3 days ago

@Teamily_AI the catch problems before launch part is the one i'd trust ai with least tbh. curious how it did on that bit

Veyra | AI & Tech3 days ago

@Teamily_AI One shared conversation keeping every agent aligned is huge

Hana Ai - Marketing Network3 days ago

@Teamily_AI Coordinated agents beating solo prompts every time

Vincenzo Nudo3 days ago

@Teamily_AI A review agent on the same model tends to wave through what the research agent made up, since they share the same blind spots. I'd still check the market part against a few real calls with founders.

Mushfiq Sajib3 days ago

@Teamily_AI Having shared context across specialized agents makes revisions much easier than managing separate AI workflows.

E1ev3n.3 days ago

@Teamily_AI My research notes lived in a different tab from my code within a day of starting a build last month. I keep the research and the build in the same place now and my launch checklist stopped losing items. I want to see whether one workspace holds up past the first week.

Fakhr3 days ago

@Teamily_AI Turning idea into something exceptional! Here’s the way

Alex Ai | Tools & Updates3 days ago

@Teamily_AI AI agents building LaunchPilot from research to website is impressive

Related Videos

I built an entire AI Marketing Campaign Studio with Teamily AI 2.0 But the real game changer? I turned the entire workflow into a reusable Loop Here's how it worked: → Market Research Agent analyzed the target audience → Ad Creative Strategist developed the campaign direction → Social Media Strategist created the content strategy → Review Agent identified issues before human approval Then I changed the target audience from startup founders to small business owners Instead of starting over, I ran the same Loop again The agents updated the research, messaging, and campaign strategy using shared context One workflow, multiple specialized agents, and far less manual coordination This is what AI-native collaboration looks like with Teamily AI 2.0 Try it and save your own workflow as a Loop 🔗 Teamily AI

I built an entire AI Marketing Campaign Studio with Teamily AI 2.0 But the real game changer? I turned the entire workflow into a reusable Loop Here's how it worked: → Market Research Agent analyzed the target audience → Ad Creative Strategist developed the campaign direction → Social Media Strategist created the content strategy → Review Agent identified issues before human approval Then I changed the target audience from startup founders to small business owners Instead of starting over, I ran the same Loop again The agents updated the research, messaging, and campaign strategy using shared context One workflow, multiple specialized agents, and far less manual coordination This is what AI-native collaboration looks like with Teamily AI 2.0 Try it and save your own workflow as a Loop 🔗 Teamily AI

Sheral Tech

28,536 views • 13 days ago

I GAVE TEAMILY AI A WEBSITE TO BUILD. finally not another one person + a bunch of agents tool. Teamily AI is a Humans + Agents platform where multiple people and agents can work in the same group with shared context. → one handled the frontend → one built the backend on top of it → one reviewed the code I built an AI developer portfolio for startup founders, then changed the direction midway. the best part? the team adapted without starting from scratch. then my teammate gave feedback and the agents updated the live site in Website Builder. this feels way closer to having an actual AI team than just using a chatbot. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. built with Website Builder Teamily AI

I GAVE TEAMILY AI A WEBSITE TO BUILD. finally not another one person + a bunch of agents tool. Teamily AI is a Humans + Agents platform where multiple people and agents can work in the same group with shared context. → one handled the frontend → one built the backend on top of it → one reviewed the code I built an AI developer portfolio for startup founders, then changed the direction midway. the best part? the team adapted without starting from scratch. then my teammate gave feedback and the agents updated the live site in Website Builder. this feels way closer to having an actual AI team than just using a chatbot. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. built with Website Builder Teamily AI

aman

11,800 views • 1 month ago

been testing teamily ai on a website project and ngl, the way the agents work together is pretty interesting but the part i didn't expect: a partner i'm working with jumped into the same group and worked right alongside them, same context. it's not an ai tool for one person, it's humans + agents: a few people and a few agents on one project gave it a rough idea for an ai developer workspace and built this with website builder: the interesting part: → midway my partner asked to update the pricing section → one agent planned 3 plans, another built them into the existing site, a third reviewed the design → watched the live site adapt, same project from rough idea to finished site & teamily AI is a human-agent collaborative workspace, great for small businesses and teams feels pretty different from just opening another chatbot and prompting it step by step. more like a small team that keeps building on each other's work Teamily AI try it out:

been testing teamily ai on a website project and ngl, the way the agents work together is pretty interesting but the part i didn't expect: a partner i'm working with jumped into the same group and worked right alongside them, same context. it's not an ai tool for one person, it's humans + agents: a few people and a few agents on one project gave it a rough idea for an ai developer workspace and built this with website builder: the interesting part: → midway my partner asked to update the pricing section → one agent planned 3 plans, another built them into the existing site, a third reviewed the design → watched the live site adapt, same project from rough idea to finished site & teamily AI is a human-agent collaborative workspace, great for small businesses and teams feels pretty different from just opening another chatbot and prompting it step by step. more like a small team that keeps building on each other's work Teamily AI try it out:

Aditi

12,935 views • 1 month ago

A project brief should live with the team, not in one person's AI chat. That's the Humans + Agents idea behind Teamily AI: the people and the agents on a project work from one shared brief in one group, and the deliverable stays open for all of them to keep building on. Teamily AI To test that, I published a Loop in my Ad Creative Studio group: the Content Creator agent turns customer complaints into an onboarding campaign, then hands it to me for review. The output is an Artifact: "From complaint to campaign: the onboarding loop, before & after". The screen proof is the handoff, end to end: research, strategy, content, a reviewer challenging weak claims, then the same loop rerun with the audience flipped from individual users to small teams. Then a partner I'm working with joined the group and asked to rerun the same loop for small teams instead of individual users. The update landed in the same Artifact, and the audience, requirements and earlier feedback stayed with the project as it developed. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. The finished Artifact: Code: AELNQ9

A project brief should live with the team, not in one person's AI chat. That's the Humans + Agents idea behind Teamily AI: the people and the agents on a project work from one shared brief in one group, and the deliverable stays open for all of them to keep building on. Teamily AI To test that, I published a Loop in my Ad Creative Studio group: the Content Creator agent turns customer complaints into an onboarding campaign, then hands it to me for review. The output is an Artifact: "From complaint to campaign: the onboarding loop, before & after". The screen proof is the handoff, end to end: research, strategy, content, a reviewer challenging weak claims, then the same loop rerun with the audience flipped from individual users to small teams. Then a partner I'm working with joined the group and asked to rerun the same loop for small teams instead of individual users. The update landed in the same Artifact, and the audience, requirements and earlier feedback stayed with the project as it developed. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. The finished Artifact: Code: AELNQ9

Sean Wallace

53,337 views • 1 month ago

I tested whether an AI team could turn one evolving project into a finished campaign, without me re-explaining the brief in five different chats. Research, strategy, messaging, and a real update, all in one shared workspace now. Teamily AI

I tested whether an AI team could turn one evolving project into a finished campaign, without me re-explaining the brief in five different chats. Research, strategy, messaging, and a real update, all in one shared workspace now. Teamily AI

KATE

171,042 views • 15 days ago

The next evolution of AI might not be a smarter chatbot. It might be a few people and a team of AI agents working on the same thing. That’s the bet Teamily AI (Teamily AI) is making as a Humans + Agents platform, and after testing it I think they’re right. I tried it on a real project: WanderMatch, a travel discovery site where you describe the trip (“3 days, peaceful, mountains, good food, under $500”) and it finds the place. In the run, Market Research Agent researched the relevant market and gathered the key insights, while the Website Builder used those findings to build and structure the website. My partner also asked for the loop to run in the group, so we could see how the agents worked together in real time. Multiple agents. Real people. Shared context. One workflow. One finished result. What makes this interesting is that the agents don’t just generate separate answers. They work inside the same conversation as us and keep building on each other’s work, end to end. Instead of starting from scratch with every prompt, you can create your own AI team, assign each agent a role, bring in the people you work with, and turn a simple conversation into actual work. Try WanderMatch: The future of AI may be less about one smarter chatbot… and more about people and agents working together. Explore →

The next evolution of AI might not be a smarter chatbot. It might be a few people and a team of AI agents working on the same thing. That’s the bet Teamily AI (Teamily AI) is making as a Humans + Agents platform, and after testing it I think they’re right. I tried it on a real project: WanderMatch, a travel discovery site where you describe the trip (“3 days, peaceful, mountains, good food, under $500”) and it finds the place. In the run, Market Research Agent researched the relevant market and gathered the key insights, while the Website Builder used those findings to build and structure the website. My partner also asked for the loop to run in the group, so we could see how the agents worked together in real time. Multiple agents. Real people. Shared context. One workflow. One finished result. What makes this interesting is that the agents don’t just generate separate answers. They work inside the same conversation as us and keep building on each other’s work, end to end. Instead of starting from scratch with every prompt, you can create your own AI team, assign each agent a role, bring in the people you work with, and turn a simple conversation into actual work. Try WanderMatch: The future of AI may be less about one smarter chatbot… and more about people and agents working together. Explore →

Parul Gautam

46,438 views • 1 month ago

I thought I was testing another AI website builder. I was wrong. Teamily AI turns ideas into interactive experiences inside a shared conversation where people and AI agents can work together in the same space. Instead of creating something alone, teammates can join the discussion, bring in AI specialists, and refine the result together. The interesting part isn't just what AI creates... It's how humans and AI collaborate to build it. From the first idea to the final experience everyone stays connected through one shared workflow. 🔗 Teamily AI

I thought I was testing another AI website builder. I was wrong. Teamily AI turns ideas into interactive experiences inside a shared conversation where people and AI agents can work together in the same space. Instead of creating something alone, teammates can join the discussion, bring in AI specialists, and refine the result together. The interesting part isn't just what AI creates... It's how humans and AI collaborate to build it. From the first idea to the final experience everyone stays connected through one shared workflow. 🔗 Teamily AI

marcus

33,863 views • 3 months ago

I gave my AI agents the creator classic: “Actually, change the audience.” In real content work, feedback comes from more than one person. So my Teamily AI test brought the agents, me and my partner Ariel into one group on the same project. The task: turn research into a one-page AI content workflow guide for X, then adapt it from experienced creators to beginners. Market Research gathered the material. The SEO/GEO Expert contributed background, and Social Media Strategist shaped the workflows. Webpage Developer built the page with Website Builder, using their work. One Studio comment changed the audience. The developer revised the page with simpler language, three-step workflows and copyable prompts. Watch the before and after. Then Ariel joined and asked for a “What is a prompt?” explanation with a simple example. Webpage Developer picked up her instructions and added both to the guide. The useful part: feedback from either of us became an updated webpage in the same shared project. Each agent built on the work already there. I still made the editorial calls. A changed brief shouldn’t mean starting from zero. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. Try Teamily AI with me: Open the finished guide:

I gave my AI agents the creator classic: “Actually, change the audience.” In real content work, feedback comes from more than one person. So my Teamily AI test brought the agents, me and my partner Ariel into one group on the same project. The task: turn research into a one-page AI content workflow guide for X, then adapt it from experienced creators to beginners. Market Research gathered the material. The SEO/GEO Expert contributed background, and Social Media Strategist shaped the workflows. Webpage Developer built the page with Website Builder, using their work. One Studio comment changed the audience. The developer revised the page with simpler language, three-step workflows and copyable prompts. Watch the before and after. Then Ariel joined and asked for a “What is a prompt?” explanation with a simple example. Webpage Developer picked up her instructions and added both to the guide. The useful part: feedback from either of us became an updated webpage in the same shared project. Each agent built on the work already there. I still made the editorial calls. A changed brief shouldn’t mean starting from zero. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. Try Teamily AI with me: Open the finished guide:

Naila | AI Insights

57,754 views • 1 month ago

I made an AI agent plan a $3,600 Greece trip for two. Then asked it to plan another trip to Portugal. Guess how much of the workflow I had to rebuild? ZERO. I used Teamily AI's team agents to handle the research and destination comparisons while my teammate and I reviewed the options. It reminded me of this line from Summer's piece: "Humans + Agents. One Team." Here's what I did: → Created a Travel Research Agent → Built a Loop with the agent, me, and my teammate → Asked it to research a 5-day Greece trip and rank the best options → Reviewed the shortlist together in the group Then reused the SAME Loop for Portugal. All I had to do was change the trip requirements and run it again. No repeating instructions or setting up everyone's roles twice. I'd much rather have the agent do the research and leave the actual decisions to us. This is how I built and ran it in Teamily AI: 👇

I made an AI agent plan a $3,600 Greece trip for two. Then asked it to plan another trip to Portugal. Guess how much of the workflow I had to rebuild? ZERO. I used Teamily AI's team agents to handle the research and destination comparisons while my teammate and I reviewed the options. It reminded me of this line from Summer's piece: "Humans + Agents. One Team." Here's what I did: → Created a Travel Research Agent → Built a Loop with the agent, me, and my teammate → Asked it to research a 5-day Greece trip and rank the best options → Reviewed the shortlist together in the group Then reused the SAME Loop for Portugal. All I had to do was change the trip requirements and run it again. No repeating instructions or setting up everyone's roles twice. I'd much rather have the agent do the research and leave the actual decisions to us. This is how I built and ran it in Teamily AI: 👇

EyeingAI

30,368 views • 6 days ago

Most AI agent tools are built for one person running a bunch of agents. I think the future of work is multiple people and multiple agents on the same project, and Teamily AI is the Humans + Agents platform that made it click for me. I used its Website Builder to turn an idea for an AI Creator Toolkit into a working website, Stacked. I wanted one place where creators could quickly find useful AI tools for content, productivity, video, images, and automation. I gave Teamily AI the idea in a group chat with the agents and a partner I'm working with, and watched them work through it: SEO/GEO Expert planned the categories and tools, and Social Media Strategist built the site from that plan. Then my partner asked for the recommendations to be easier for creators to compare, and the agents updated the tool comparison in Studio. What I liked most was not having to guide every little step. The agents and my partner worked from the same context and picked up each other's work, from idea to live site. This is what AI agents should feel like. Live site: Here's how the website came together ↓ Teamily AI

Most AI agent tools are built for one person running a bunch of agents. I think the future of work is multiple people and multiple agents on the same project, and Teamily AI is the Humans + Agents platform that made it click for me. I used its Website Builder to turn an idea for an AI Creator Toolkit into a working website, Stacked. I wanted one place where creators could quickly find useful AI tools for content, productivity, video, images, and automation. I gave Teamily AI the idea in a group chat with the agents and a partner I'm working with, and watched them work through it: SEO/GEO Expert planned the categories and tools, and Social Media Strategist built the site from that plan. Then my partner asked for the recommendations to be easier for creators to compare, and the agents updated the tool comparison in Studio. What I liked most was not having to guide every little step. The agents and my partner worked from the same context and picked up each other's work, from idea to live site. This is what AI agents should feel like. Live site: Here's how the website came together ↓ Teamily AI

Karen

33,219 views • 1 month ago

I used Website Builder in Teamily AI (Teamily AI) to build a creator partnership page, and fittingly, it was a partnership too: my agent team plus a collaborator I pulled into the group. That's what I like about Teamily: it's a Humans + Agents platform, so more than one person works with the agents, on the same context. Agent A wrote the copy deck, and the Webpage Developer built the page from it. Then I changed the offer halfway through: monthly partnerships instead of one-off posts. The headline, offer section and contact CTA all followed the new direction, and my collaborator reviewed it in Studio. That was the useful part for me: seeing the change reach the finished page, with people and agents building on each other's work the whole way. You can view it here #ad

I used Website Builder in Teamily AI (Teamily AI) to build a creator partnership page, and fittingly, it was a partnership too: my agent team plus a collaborator I pulled into the group. That's what I like about Teamily: it's a Humans + Agents platform, so more than one person works with the agents, on the same context. Agent A wrote the copy deck, and the Webpage Developer built the page from it. Then I changed the offer halfway through: monthly partnerships instead of one-off posts. The headline, offer section and contact CTA all followed the new direction, and my collaborator reviewed it in Studio. That was the useful part for me: seeing the change reach the finished page, with people and agents building on each other's work the whole way. You can view it here #ad

Kaitee

50,970 views • 1 month ago

The client cuts the budget in half. Your AI team invents a cheaper quote to make it fit. Would you catch it? 👀 I tested Teamily AI Teamily AI with a real-world project scenario: 📌 One landing page, 3 social posts, and a project plan. 💰 Budget: $2,000 ⏳ Deadline: 10 days Four specialist AI agents collaborated in one chat through a saved Loop. 🔍 Research flagged a critical issue: the enquiry form had no submission destination. 📋 Planning used that finding to scope the work. ⚠️ Review caught a scheduling conflict between Day 8 publishing and Day 9 approval. 💻 Webpage Developer turned the plan into a live project dashboard using Teamily Website Builder. Then I changed one requirement: “The budget is now $1,000. Day 10 stays.” I reran the saved Loop. The updated brief flowed through the team without repeatedly prompting every agent. But there was a problem. The team proposed a $750 “trimmed” page. Our fixed estimate was $900. That lower price had never been approved. I challenged it. The Review agent rejected the unsupported quote and sent the correction back to the developer. The final dashboard exposed the real situation: $1,600 in core work $1,000 available $600 budget gap Instead of pretending everything could fit, the workflow made the trade-offs visible. And I took it further. Inside Open Studio, I used a comment to ask the developer to make the budget gap and available options clearer at the top of the page. The developer refined the dashboard, and I could review the before-and-after result in the same workflow. That’s the difference between generating AI outputs and coordinating AI agents around a shared project. ✅ Multiple agents collaborating in one chat ✅ Saved workflows that adapt when requirements change ✅ Review that challenges unsupported assumptions ✅ Website editing through Open Studio ✅ Clearer decisions without rebuilding everything from scratch The real value of AI isn't making every answer look perfect. It's making problems, costs, and decisions impossible to ignore. The finished dashboard was built with Teamily Website Builder. 🔗 Explore the dashboard and compare the budget options: 🚀 Put your next project through the same test: #Ad #AI #AIAgents #AITools #WebsiteBuilder #Automation

The client cuts the budget in half. Your AI team invents a cheaper quote to make it fit. Would you catch it? 👀 I tested Teamily AI Teamily AI with a real-world project scenario: 📌 One landing page, 3 social posts, and a project plan. 💰 Budget: $2,000 ⏳ Deadline: 10 days Four specialist AI agents collaborated in one chat through a saved Loop. 🔍 Research flagged a critical issue: the enquiry form had no submission destination. 📋 Planning used that finding to scope the work. ⚠️ Review caught a scheduling conflict between Day 8 publishing and Day 9 approval. 💻 Webpage Developer turned the plan into a live project dashboard using Teamily Website Builder. Then I changed one requirement: “The budget is now $1,000. Day 10 stays.” I reran the saved Loop. The updated brief flowed through the team without repeatedly prompting every agent. But there was a problem. The team proposed a $750 “trimmed” page. Our fixed estimate was $900. That lower price had never been approved. I challenged it. The Review agent rejected the unsupported quote and sent the correction back to the developer. The final dashboard exposed the real situation: $1,600 in core work $1,000 available $600 budget gap Instead of pretending everything could fit, the workflow made the trade-offs visible. And I took it further. Inside Open Studio, I used a comment to ask the developer to make the budget gap and available options clearer at the top of the page. The developer refined the dashboard, and I could review the before-and-after result in the same workflow. That’s the difference between generating AI outputs and coordinating AI agents around a shared project. ✅ Multiple agents collaborating in one chat ✅ Saved workflows that adapt when requirements change ✅ Review that challenges unsupported assumptions ✅ Website editing through Open Studio ✅ Clearer decisions without rebuilding everything from scratch The real value of AI isn't making every answer look perfect. It's making problems, costs, and decisions impossible to ignore. The finished dashboard was built with Teamily Website Builder. 🔗 Explore the dashboard and compare the budget options: 🚀 Put your next project through the same test: #Ad #AI #AIAgents #AITools #WebsiteBuilder #Automation

Ryan Carter

121,889 views • 10 days ago

I built a whole coffee shop website before my coffee got cold ☕ And it wasn't just me and a bot. Teamily AI 2.0 is a Humans + Agents platform, people and agents in one chat, so a partner I'm working with was right there with me on the same live site Tried Website Builder with an AI business agent, one prompt and it handed me a menu, cart, reviews and WhatsApp ordering Then the real test came in, my partner dropped a message in the group: 15 min delivery instead of 30 So I circled the number on the live site, wrote one line and sent it to the agent, it changed just that and left everything else alone Published v2 in two clicks, and my coffee was still warm 😌 Not every first draft is perfect, but fixing things right on the live page, with my partner and the agent picking up each other's changes, is what got me Teamily AI is a human-agent collaborative workspace, and honestly it's great for small businesses and teams like ours Watch the number change at the end 👀 Built and edited with Website Builder on Teamily AI 2.0

I built a whole coffee shop website before my coffee got cold ☕ And it wasn't just me and a bot. Teamily AI 2.0 is a Humans + Agents platform, people and agents in one chat, so a partner I'm working with was right there with me on the same live site Tried Website Builder with an AI business agent, one prompt and it handed me a menu, cart, reviews and WhatsApp ordering Then the real test came in, my partner dropped a message in the group: 15 min delivery instead of 30 So I circled the number on the live site, wrote one line and sent it to the agent, it changed just that and left everything else alone Published v2 in two clicks, and my coffee was still warm 😌 Not every first draft is perfect, but fixing things right on the live page, with my partner and the agent picking up each other's changes, is what got me Teamily AI is a human-agent collaborative workspace, and honestly it's great for small businesses and teams like ours Watch the number change at the end 👀 Built and edited with Website Builder on Teamily AI 2.0

Chidanand Tripathi

100,553 views • 1 month ago

Creating a good product video usually means juggling ideas, visuals, editing, audio, subtitles, and endless revisions. I wanted to see if I could simplify that workflow. So I tried Pexo. I gave it my product details, screenshots, references, and the audience I wanted to reach. From there, I could explain the creative direction in plain language and keep refining the video through conversation. What surprised me was that Pexo isn't just generating clips. It's a conversational AI video agent that brings together visuals, audio, subtitles, and graphic treatments to create a complete video. And when something needed changing, I could simply explain what I wanted instead of starting from zero. The workflow became: Idea → Materials → Conversation → Video → Feedback → Refinement For product launches, SaaS demos, brand stories, or social content, that makes the creative process feel much more interactive. The biggest takeaway for me: AI video is becoming less about writing one perfect prompt and more about having an ongoing creative conversation. If you have a product or idea you want to turn into a video, give Pexo your URL and requirements and try it yourself. Pexo #MadeWithPexo

Katherine

74,976 views • 1 month ago

.#ad I ran a client pricing project using Loop in Teamily 2.0 with Teamily AI—and stayed the decision-maker. Scout researched the market. The pricing strategist turned that research into a recommendation. I reviewed it, changed one decision (a flat $49 price, no second tier), and the agent updated the recommendation to reflect my input. Then I triggered the same saved Loop again with new inputs for another client, a boutique coffee roastery, and reviewed a different pricing recommendation. One reusable workflow, with agents doing the research and me making the final calls. Try Teamily AI here: #TeamilyAI

.#ad I ran a client pricing project using Loop in Teamily 2.0 with Teamily AI—and stayed the decision-maker. Scout researched the market. The pricing strategist turned that research into a recommendation. I reviewed it, changed one decision (a flat $49 price, no second tier), and the agent updated the recommendation to reflect my input. Then I triggered the same saved Loop again with new inputs for another client, a boutique coffee roastery, and reviewed a different pricing recommendation. One reusable workflow, with agents doing the research and me making the final calls. Try Teamily AI here: #TeamilyAI

Amalia

118,881 views • 3 days ago

i used to think an AI team meant me + a few agents. then i tried Teamily AI, a Humans + Agents platform where other people sit in the same group as the agents, on the same context. different thing entirely. so: what if an AI team could find the best new generation of AI careers for you? i put 3 agents and a partner i'm working with in one group and gave them the same question: 1. AI Engineer - researched 10 genuinely new AI-native careers 2. Principal Architect - ranked the 7 most interesting ones into a page with Website Builder 3. QA Tester - opened that page, challenged the list, rejected 3 and suggested better replacements then I jumped in again with "prioritize roles with real demand and low competition", and the Architect rebuilt the page with the QA swaps and that ask. one agent researched, one ranked, one challenged the work, and a human pushed it further. one question to a finished page, all in one chat. this is what an AI team actually feels like. final page: Teamily AI try it:

i used to think an AI team meant me + a few agents. then i tried Teamily AI, a Humans + Agents platform where other people sit in the same group as the agents, on the same context. different thing entirely. so: what if an AI team could find the best new generation of AI careers for you? i put 3 agents and a partner i'm working with in one group and gave them the same question: 1. AI Engineer - researched 10 genuinely new AI-native careers 2. Principal Architect - ranked the 7 most interesting ones into a page with Website Builder 3. QA Tester - opened that page, challenged the list, rejected 3 and suggested better replacements then I jumped in again with "prioritize roles with real demand and low competition", and the Architect rebuilt the page with the QA swaps and that ask. one agent researched, one ranked, one challenged the work, and a human pushed it further. one question to a finished page, all in one chat. this is what an AI team actually feels like. final page: Teamily AI try it:

aditya

13,579 views • 1 month ago

I gave an AI coding agent a real project and one simple outcome: Understand the project, research similar memory-agent projects, and turn the findings into a Word document. No step-by-step instructions. I wanted to see if Qoder could actually handle the work.

I gave an AI coding agent a real project and one simple outcome: Understand the project, research similar memory-agent projects, and turn the findings into a Word document. No step-by-step instructions. I wanted to see if Qoder could actually handle the work.

HarriStack

117,213 views • 1 month ago

Moving a project from research to a finished site takes more than one answer, and usually more than one person. Teamily AI is built for that: a Humans + Agents platform where the people and the agents on a project work in one group, from the same context. Teamily AI For "The Museum of Unclaimed Buttons", the Curator agent picked the exhibits and wrote the labels, the Gallery Designer agent built the site from them with Website Builder, and a partner I'm working with joined to make the key calls with me. A priority change midway, adding three more exhibits: a blazer button, a raincoat snap, and a child’s dungaree button, plus a Provenance line for each and a material filter row for metal, plastic, horn, and pearl, flowed into the page while the team kept the important constraints (responsive, keyboard-accessible) in view. The handoff ran from the Curator's labels to the revised section, so each change had a visible place. That gave us a route from notes to page sections, with the agents building on each other's work and the two of us choosing priorities and approving the final wording. The before/after makes the update clear. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. Finished page: Code: 8P24BK

Moving a project from research to a finished site takes more than one answer, and usually more than one person. Teamily AI is built for that: a Humans + Agents platform where the people and the agents on a project work in one group, from the same context. Teamily AI For "The Museum of Unclaimed Buttons", the Curator agent picked the exhibits and wrote the labels, the Gallery Designer agent built the site from them with Website Builder, and a partner I'm working with joined to make the key calls with me. A priority change midway, adding three more exhibits: a blazer button, a raincoat snap, and a child’s dungaree button, plus a Provenance line for each and a material filter row for metal, plastic, horn, and pearl, flowed into the page while the team kept the important constraints (responsive, keyboard-accessible) in view. The handoff ran from the Curator's labels to the revised section, so each change had a visible place. That gave us a route from notes to page sections, with the agents building on each other's work and the two of us choosing priorities and approving the final wording. The before/after makes the update clear. Teamily AI is a human-agent collaborative workspace, great for small businesses and teams. Finished page: Code: 8P24BK

Doreen

55,537 views • 1 month ago

This is how small teams will work. Not one person driving a stack of agents. A few people and a few agents on one job, in one group. Teamily AI is a Humans + Agents platform built for that, not another solo AI tool. Most agent tools still assume you work alone. I tested it on a real content job: a waitlist page, brief to live page to post. Website Builder, my agents, and a partner, same group, same context. My personal agent already had the offer and audience. A second agent drafted the page from that, no new brief. Midway I killed the discount. It pushed back: the headline was too soft for a cold audience. Then it made the live edit. Before: discount copy. After: waitlist, tighter line. Same campaign, I hit Loop. Angle finder, copy agent, and me. One @ and it ran the post again. The copy agent still softened a claim, so I told it to use the page wording. It fixed it. My partner asked for the CTA to match the page exactly, then signed off. Not perfect. But each pass built on the last one’s work, and after a few rounds it felt like a team, not a chatbot rewriting its own draft. Teamily AI Link in the reply.

This is how small teams will work. Not one person driving a stack of agents. A few people and a few agents on one job, in one group. Teamily AI is a Humans + Agents platform built for that, not another solo AI tool. Most agent tools still assume you work alone. I tested it on a real content job: a waitlist page, brief to live page to post. Website Builder, my agents, and a partner, same group, same context. My personal agent already had the offer and audience. A second agent drafted the page from that, no new brief. Midway I killed the discount. It pushed back: the headline was too soft for a cold audience. Then it made the live edit. Before: discount copy. After: waitlist, tighter line. Same campaign, I hit Loop. Angle finder, copy agent, and me. One @ and it ran the post again. The copy agent still softened a claim, so I told it to use the page wording. It fixed it. My partner asked for the CTA to match the page exactly, then signed off. Not perfect. But each pass built on the last one’s work, and after a few rounds it felt like a team, not a chatbot rewriting its own draft. Teamily AI Link in the reply.

Wesley

36,678 views • 1 month ago