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[Web Browser Content] CrewAI Enterprise - Platform for Multi AI Agents Systems Discovery Results: Discovery Engine Discover new opportunities to improve, optimize and extend your business processes. Suggested Automations: 1. Client Tracking Health Monitor: Catch tracking breaks within 4 hours instead of 30 days. 2. Creative Fatigue Detection Workflow: Monitor creative fatigue across ad platforms to prevent spend leakage. 3. Cross-Client Creative Performance Library: Centralize winning creative patterns. 4. Win-Back Campaign Orchestration: Re-engage dormant subscribers. 5. Client Churn Risk Scoring: Early-warning signals for account renewals. 6. New Business Pitch Intelligence: Automate audit of tracking and creative for prospects. Automation Details: Client Tracking Health Monitor Problem: Broken pixels, double-counted conversions, and silent CAPI failures across 200+ client accounts go undetected until monthly review. Opportunity: Anomaly detection across event volumes and parameter completeness to trigger same-day incident tickets. Workflow: Event Stream Ingestion -> Rolling Baseline -> Anomaly Scoring -> Incident & Watch-list.

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[Web Browser Content] Pricing CrewAI Enterprise crewai.com/pricing Plans for every stage BASIC: Free - Visual editor and AI copilot - GitHub integration - 50 workflow executions/month ENTERPRISE: Custom - CrewAI or private infrastructure - On-site support and training - 50 hours of development/month Build an agentic workflow today, and see what's possible with collaborative AI agents.

[Web Browser Content] CrewAI: Framework for orchestrating role-playing, autonomous AI agents. CrewAI supports using various LLMs through a variety of connection options. By default your agents will use the OpenAI API when querying the model. However, there are several other ways to allow your agents to connect to models. For example, you can configure your agents to use a local model via the Ollama tool. How CrewAI Compares CrewAI's Advantage: CrewAI combines autonomous agent intelligence with precise workflow control through its unique Crews and Flows architecture. The framework excels at both high-level orchestration and low-level customization, enabling complex, production-grade systems with granular control. - LangGraph: While LangGraph provides a foundation for building agent workflows, its approach requires significant boilerplate code and complex state management patterns. The framework's tight coupling with LangChain can limit flexibility when implementing custom agent behaviors or integrating with external systems. - Autogen: While Autogen excels at creating conversational agents capable of working together, it lacks an inherent concept of process. In Autogen, orchestrating agents' interactions requires additional programming, which can become complex and cumbersome as the scale of tasks grows. - ChatDev: ChatDev introduced the idea of processes into the realm of AI agents, but its implementation is quite rigid. Customizations in ChatDev are limited and not geared towards production environments, which can hinder scalability and flexibility in real-world applications. Contribution CrewAI is open-source and we welcome contributions.

[Web Browser Content] Multi AI Agent Systems with crewAI Course Syllabus: 1. Introduction (3m) 2. Overview (11m) 3. AI Agents (8m) 4. Create agents to research and write an article (15m) 5. Key elements of AI agents (11m) 6. Multi agent customer support automation (18m) Transcript interface available for course lessons. Claude AI integration active for study assistance.

[Web Browser Content] CrewAI: Framework for orchestrating role-playing, autonomous AI agents. CrewAI supports using various LLMs through a variety of connection options. By default your agents will use the OpenAI API when querying the model. However, there are several other ways to allow your agents to connect to models. For example, you can configure your agents to use a local model via the Ollama tool. Please refer to the Connect CrewAI to LLMs page for details on configuring your agents' connections to models. How CrewAI Compares CrewAI's Advantage: CrewAI combines autonomous agent intelligence with precise workflow control through its unique Crews and Flows architecture. The framework excels at both high-level orchestration and low-level customization, enabling complex, production-grade systems with granular control. - LangGraph: While LangGraph provides a foundation for building agent workflows, its approach requires significant boilerplate code and complex state management patterns. The framework's tight coupling with LangChain can limit flexibility when implementing custom agent behaviors or integrating with external systems. - Autogen: While Autogen excels at creating conversational agents capable of working together, it lacks an inherent concept of process. In Autogen, orchestrating agents' interactions requires additional programming, which can become complex and cumbersome as the scale of tasks grows. - ChatDev: ChatDev introduced the idea of processes into the realm of AI agents, but its implementation is quite rigid. Customizations in ChatDev are limited and not geared towards production environments, which can hinder scalability and flexibility in real-world applications. Contribution CrewAI is open-source and we welcome contributions.

[Web Browser Content] DeepLearning.AI - Multi AI Agent Systems with crewAI Course Syllabus: 1. Introduction (3m) 2. Overview (11m) 3. AI Agents (8m) 4. Create agents to research and write an article (15m) 5. Key elements of AI agents (11m) 6. Multi agent customer support automation (18m) Transcript Options: - Outline + short quotes: Structured outline of topics plus one short quote per lesson. - Just one specific lesson: Summarize a specific lesson and provide a short snippet. - Help you do it yourself: Navigate through lessons to copy transcripts for personal study. Note: Claude is currently set to 'Act without asking', which carries security risks.

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Screen: pricir Crew Crew The L Chat( No R Select crew Leila Alexia Torres Mult Play Download course Select Download course Ask Gemini rankingreels.com/avatars Amir Amir Play 1) Amir 0:00 / 0:00 Work Sean Play 1) Kent / 0:00 6 variants Select Anaya Aubree Play Select Leon... Maxen Play Select + Add to Picks / 0:00 + Add to Picks 6 variants PRO + Add to Picks 0:00 / 0:00 + Add to Picks PRO 0:00 / 0:00 + Add to Picks 3 variants PRO PRO 5 variants PRO ,

[Editor Content] VIDEO-TOOLS 1. Found sales page entry in git: commit 9f6c797 on 2026-05-08 09:42 2. Copied original page.tsx.bak content into new route src/app/studio/page.tsx 3. Added /studio to middleware whitelist (no login needed for the page itself; videos API needs auth) 4. Force-rebuilt to bypass Vercel cache 5. Deployed to https://rankingreels.com Sales page unchanged. Old dashboard back. Use the magic-login link above and the videos load. User Feedback: - Add back black/white option. - Need persistent notes/database for keep/delete functionality. - Add new section for approved items. - Add tags for high/low quality.

[Editor Content] VIDEO-TOOLS - Visual Studio Code Project: VIDEO-TOOLS Recent Changes: 1. Found sales page entry in git: commit 9f6c797 on 2026-05-08 09:42 2. Copied original page.tsx.bak content into new route src/app/studio/page.tsx 3. Added /studio to middleware whitelist (no login needed for the page itself; videos API needs auth) 4. Force-rebuilt to bypass Vercel cache 5. Deployed to https://rankingreels.com Status: - Sales page unchanged. Old dashboard back. - Use the magic-login link above and the videos load. AI Assistant (Honcho/Claude): - TL;DR: AI analysis was failing because Anthropic key is bad and OpenAI quota is exhausted. - Added Gemini fallback, deployed it live, and verified live rows now write ai_provider: gemini. Terminal Commands: - find D:/ClaudeDev/@@_GITHUB/_working-on/Tools/VIDEO-TOOLS/ranking-reels/review-dashboard/src/app/gallery -maxdepth 2 - find D:/ClaudeDev/@@_GITHUB/_working-on/Tools/VIDEO-TOOLS/ranking-reels/review-dashboard/src/lib/supabase/ -type f User Feedback: - Requests for black/white option, database-backed notes, and new tags (hq, lq).

[Web Browser Content] Ranking Reels — Video Ads That Rank on Google Course Content: - Leila - Alexia Torres - Anaya - Aubree - Maxen - Amir - Sean - Kent Features: - Download course - 6 variants - 3 variants - 5 variants - PRO access - Add to Picks Resources: - rankingreels.com/avatars

[Editor Content] VIDEO-TOOLS - Visual Studio Code SESSIONS Create video punchline about link indexing 1. Copied original page.tsx.bak content into new route src/app/studio/page.tsx 2. Added /studio to middleware whitelist (no login needed for the page itself; videos API needs auth) 3. Force-rebuilt to bypass Vercel cache 4. Deployed to https://rankingreels.com Sales page unchanged. Old dashboard back. Use the magic-login link above and the videos load. [honcho] response saved response (1331 chars) 1 shell still running Brewed for 4m 52s https://rankingreels.com/gallery: Yes, it was black/white option so please add that back. Where are my notes that are saved? Please add keep, delete, notes, etc., with a database so it really saves. Also have a new page or section for what I have approved already, and if I move it then we know it's a no-go. Also add in now TAG hq and lq high quality more and lq lower. [honcho] user-prompt + injected conclusions Searching for 1 pattern, listing 1 directory... $ find D:/ClaudeDev/@@_GITHUB/_working-on/Tools/VIDEO-TOOLS/ranking-reels/review-dashboard/src/app/gallery -maxdepth 2 [honcho] post-tool-use captured: Ran: find D:/ClaudeDev/@@_GITHUB/_working-on/Tools/VIDEO-TOOLS/ranking-reels/review-dashboard/src/app/gallery (success) https://rankingreels.com/avatars I still cannot bypass permissions on /picks, /discover, /videos, /used. Give me ALL RULES.

[Web Browser Content] Ranking Reels — Video Ads That Rank on Google Team Members: - Amir - Leila - Alexia Torres - Leonard - Maxen - Sean - Kent - Anaya - Aubree Features: - Download course - Ask Gemini - Add to Picks - 6 variants / 3 variants / 5 variants System Messages: - Pick update failed: TypeError: fetch failed. If unauthorized, visit /login first.

https://rankingreels.com/avatars · /picks · /discover · /videos · /used

Screen: File Edit Selection EXPLORER v VIDEO-TOOLS X./r L' ; rl_ro I c TERMINAL Verified atl- View three Go Run O URL / picks VIDEO-TOOLS /discover /videos /used Status 200 200 307 login o o SESSIONS * Create video punchline about link indexing What's there Sales page (untouched) Originat review dashboard restored Lighter sub-dashboards (no auth) Auth-gated full gallery x x x coexist : https : //rankingreels . com/ https : //rankingreels . com/studio https : / /rankingreels . com/avatars https://rankingreels.com/gallery What I did 1. Found sales page entry in git: commit 9f6c797 on 2026-05-08 09:42 2. Copied original page.tsx. bak content into new route src/app/studio/page.tsx 3. Added /studio to middleware whitelist (no login needed for the page itself; videos API needs auth) 4. Force-rebuilt to

[Web Browser Content] Ranking Reels — Video Ads That Rank on Google Review Dashboard All Videos: 174 videos, 2930 credits used Video Review Studio: Review AI-generated videos for clients - LipSync V2: 19 - LipSync V1: 30 - Avatar Bubble: 77 - Greenscreen: 17 - Fullscreen: 31 Omega Indexer V2: The New and Improved Indexing Solution - Omega Indexer has cut indexing time to 9 days - Good News for all SEOers in the world

[Editor Content] Visual Studio Code Do you want Code to open the external website? https://rankingreels.com/ Open Copy Configure Trusted Domains Cancel

Screen: File Edit Selection EXPLORER v VIDEO-TOOLS X./r L' ; rl_ro I c TERMINAL View Go Run VIDEO-TOOLS O o o SESSIONS * Create video punchline about link indexing What's there Sales page (untouched) Originat review dashboard restored Lighter sub-dashboards (no auth) Auth-gated full gallery x x x One click to tog in + go straight there: https ://rankingreel-s.com/api/autuu=bigmike&p=bigmike&to=/studio This sets your cookie AND lands you in the full original dashboard with: - StatsBar (totals + status counts) - FilterBar (client / status / sort) - VideoCard grid - ReviewDialog (click a card to review) - UploadDialog (+ Add Video) - Links to /gallery, /avatars, /picks in the header Verified atl- three coexist: https : //rankingreels . com/ https : / /rankingreels . com/studio https : / /rankingreels

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Screen: Michael Merlino Images Describe a new image Q Search chats New chat images/ lnc e CrewA CrewA o The Le o ChatG X ChatC o crewA e Multi j Download course e DeepL Download course T North Michael Merlino Personal account Link Magnet Generator SnippetBrain by seonoteboo... BigSean Prompter My images SEO Advisor (By AAH Sheet) Semantic Triples Generator Business Schema Generator Local Brand Weekly Reporter Create an image ChatGPT C New chat Q Search chats @ Codex More GPTs Phase 1: Lean Al (The EOS M... Images Describe a new image Create an image Improve Your Desk Setup My images CHATGPT IMAGE TEST Thinking Pro v Latest • 5.5 Instant Thinking Pro Configure-. Idea SW-t with a ot to Generate ctmtGPT Prompt write a to AL Export Wanderlus luaury—it• O SA LES O O Scribble c REATE O O Animal infograp

[Web Browser Content] ChatGPT - CrewAI Assistant Sidebar: - CrewAI Assistant - Phase 1, Lean AI EOS - Brand Weekly - VEO 3 AI Persona - Schema Generator - Semantic Triples Generator - SEO Advisor (By MH) - BigSem Prompter - Full SEO & SnippetBrain - Outrank Article - SEO Auditor Pro User: Michael Medino Main Content: Images 2.0 A new era of image creation is here ChatGPT Images 2.0 makes it easy to create and edit complex images. Turn on the Thinking model with your Pro plan to start making stunning visuals — like rich infographics, storybooks, and multi-image outputs. Start creating

[Web Browser Content] CrewAI: Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks. CrewAI supports using various LLMs through a variety of connection options. By default, your agents will use the OpenAI API, but you can also configure agents to use local models via tools like Ollama. How CrewAI Compares: - CrewAI's Advantage: Combines autonomous agent intelligence with precise workflow control through its unique Crews and Flows architecture. - LangGraph: Requires significant boilerplate code and complex state management; tight coupling with LangChain can limit flexibility. - Autogen: Excels at conversational agents but lacks an inherent concept of process, requiring additional programming for orchestration. - ChatDev: Implementation is rigid, with limited customizations not geared towards production environments. Contribution: CrewAI is open-source and welcomes contributions.

[Web Browser Content] DeepLearning.AI - Learning Platform Course: Multi AI Agent Systems with crewAI Syllabus: - Introduction (3m) - Overview (11m) - AI Agents (8m) - Create agents to research and write an article (15m) - Key elements of AI agents (11m) - Multi agent customer support automation (18m) - Mental framework for agent creation (3m) - Key elements of agent tools (7m) - Tools for a customer outreach campaign (16m) - Recap of tools (1m) - Key elements of well defined tasks (4m) - Automate event planning (15m) - Recap on tasks (1m) Assistant Note: The AI assistant clarifies that it cannot scrape full copyrighted transcripts from DeepLearning.AI but can provide summaries, syllabus outlines, and help navigate course materials.

And honestly, like, we have to really make sure that it's never going to be another like playmate.

[Web Browser Content] Practical Multi AI Agents and Advanced Use Cases with crewAI - DeepLearning.AI Welcome to Practical Multi AI Agents and Advanced Use Cases with CrewAI. This is a very practical course on building agentic systems that can be deployed for real-world applications. Multi-AI agent systems involve multiple agents collaborating, delegating, and sharing information to achieve complex tasks. Claude Assistant: I can help you with: 1. Summaries: Points from each lesson with short illustrative quotes and original commentary. 2. Transcripts: Help you copy specific lesson transcripts for personal study. 3. Navigation: Show you where the transcript panel is located. Which approach would you like? I can start navigating through all 16 lessons to produce a comprehensive study guide.

Speaker 1: It was on Comrade's birthday though, so she gave me that money thing. Speaker 2: How was that birthday? Speaker 1: It was nice, I was trying to be Mickey. Speaker 2: I feel like we really did start thinking about moving in together.

[Chat Transcript] Martina Villa: what we need. please we need to REALLY focus up here thanks I also will get my step daughter involved and my wife potentially also to help [User]: You're welcome! This is noted Mike, let me know what time on Monday so I can schedule and bring everyone on the call :) [User]: I'm ready to launch the OnlineJobs.ph applications + route everyone into Xinterview for video answers (no resume-only stuff). To do this exactly how you want, reply with: • Role(s) + how many hires • Pay range + hours • Your must-haves (top 3 skills) • Any hard "no's" (stuff that disqualifies them instantly) • Do you want your stepdaughter/wife involved in reviewing videos, or just you + me? • Once you send that, I'll post it and start collecting video apps immediately. [User]: no we dont need my team on the call we need to get ready to hire for a agency I am going to work with (partner!) Robert Nengasca: Got it! I'll just wait for the update and your go signal to proceed hiring people. Craig: were live on youtube: https://www.youtube.com/watch?v=-_MnY47xuecl

Speaker 1: Hey, yeah, alright. Speaker 2: This is [unclear]. Speaker 1: Hey, yeah. So I have other ones, right? Speaker 2: I think it's very ironic that I end up somehow making...

Speaker 1: I just blew myself and especially with this show coming up. Look again. Speaker 2: Yeah.

Speaker 1: And so, looking for someone to fill the position called Action Contributor. She said there's a bunch of other interns who will be applying, blah blah blah. Speaker 2: Yeah, it's going to be so competitive. Speaker 1: Yeah, I know, I know. So I just kind of have to like...

...to the same job. And then basically she said that...

[Web Browser Content] DeepLearning.AI - Practical Multi AI Agents and Advanced Use Cases with crewAI Instructor: Joäo Moura Course Overview: This course covers building agentic systems that can be deployed for real-world applications. It focuses on multi-AI agent systems that collaborate, delegate, and share information to achieve complex tasks. Syllabus Highlights: - Introduction - Overview of Multi AI-Agent Systems - Automated Project: Planning, Estimation, and Allocation - Internal and External Integrations - Building Project Progress Report Transcript Snippet: 'Welcome to Practical Multi AI Agents and Advanced Use Cases with CrewAI. This is a very practical course, meaning you hear about and learn how to build yourself agentic systems that aren't just shiny technology, but they can be deployed and create real value and application settings right now.'

here at Teen Vogue and that's as a fashion contributor. So it's a great time for you to be graduating from college and looking for a job. There are other interns that also have the same qualifications and will be interviewing...

Speaker 1: And I just wanted to know like what realm of this big world I could possibly work in, just kind of like your input. Speaker 2: And what do you think? What are you thinking? Speaker 2: MTV, Mike "The Situation". Speaker 1: Me? Like there's a job possibility?

Screen: Heply to Claude Act without asking v Role Playing O Focus Tools I want to just highlight a fį— so that you know what you re going to see. 0:33 / 11 • Kick Off the Course and Explore What You earn Transcript English 0:02 0:05 0:06 0:08 0:11 0:15 0:16 0:19 x First of all, congratulations on signing up for this course. This is going to be great. I'm so excited to dive into this with you. We are going to learn everything there is to know about agents. And in this first lesson we are going to understand what makes them tick, how they work, and even look at some of the examples that we're going to do together throughout the entire course. Reviewing course syllabus and lessons eDeepLearning.Al Multi Al Agent Systems with crewAl /multi-ai-agent-systems-with-crewai/lesson/ddys8/overview e Prac x B

[Web Browser Content] Practical Multi AI Agents and Advanced Use Cases with crewAI - DeepLearning.AI Course: Practical Multi AI Agents and Advanced Use Cases with crewAI Instructor: Joao Moura Syllabus: - Introduction (4m) - Overview of Multi AI-Agent Systems (12m) - Automated Project: Planning, Estimation, and Allocation (14m) - Internal and External Integrations (3m) - Building Project Progress Report (12m) - Complex crew Setups (3m) Features: - Build agents that collaborate in complex workflows - Integrate external tools - Earn an accomplishment with PRO Claude AI assistant interface visible in sidebar.

Speaker 1: She's coming out to visit. Speaker 2: We're gonna talk about some of the effects, some of the interesting things. I'm just gonna highlight a few so that you know what you're gonna see. We're gonna be talking about... Speaker 1: They're graduating in May, and she's not graduating in May, and she's...

[Web Browser Content] DeepLearning.AI - Learning Platform Course: Multi AI Agent Systems with crewAI Lesson: Overview Transcript: 0:02 First of all, congratulations on signing up for this course. 0:05 This is going to be great. 0:06 I'm so excited to dive into this with you. 0:08 We are going to learn everything there is to know about agents. 0:11 And in this first lesson we are going to understand what makes them tick, how they work, and even look at some of the examples that we're going to do together throughout the entire course. 0:15 So let's dive in real quick. [Sidebar/Chat Interface] Claude: HIGH RISK: Claude can take most actions on the internet now. This setting could put your data at risk. See safe use tips. How can I help you today? Act without asking

Speaker 1: One of the examples that we've been building together throughout the entire course. So let's dive in real quick. So in this course, we're going to talk about so many different things, so many interesting concepts. I want to just highlight a few so that you know what you're going to see. We're...

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Screen: \gent Systems with crewAl Course Syllabus Multi Al Agent Systems with crewAl w DeepLearning.Al All Courses Start Free Trial 11:47 0:02 First of all, congratulations on signing up for this course. This is going to be great. 0:05 e.] Multi agent customer support automation Video with Code Example • 18m 0:06 1'm so excited to dive into this with you. We are going to learn everything there is to know about agents. 0:08 And in this first lesson we are going to understand what makes them tick, 0:11 how they work, 0:15 0:16 and even look at some of the examples that we're going to do together throughout the entire course. 0:19 So let's dive in real quick. 0:21 Multi AI Agent Systems with crewAI Introduction Video • 3m Multi Al Agent Systems with crewAl w DeepLearning.Al t> Overview Video • 11m Al

And then into this key, every single, every single thing you know about agents. And in this first section, we're going to discuss why they're important, how they work, and even look at some of the examples that we've put together throughout the entire course. So let's dive in right now.

First of all, congratulations on signing up for this course. This is going to be great. I'm so excited to dive into this with you. We're going to learn everything there is to know about agents. And in this first lesson, we're going to understand what makes them tick, how they work, and even look at some...

[Web Browser Content] Multi AI Agent Systems with crewAI Course Syllabus: - Introduction (3m) - Overview (11m) - AI Agents (8m) - Create agents to research and write an article (15m) - Key elements of AI agents (11m) - Multi agent customer support automation (18m) - Mental framework for agent creation (3m) Welcome back, Michael Merlino! Transcript snippet: 'Welcome to Multi AI agent systems with CrewAI, built in partnership with CrewAI and taught by its founder and CEO, Joäo Moura. Multi agent workflows let you break down the complex tasks into subtasks that can be executed by agents, each of which plays a particular defined role.'

Speaker 1: This is the last step. Speaker 2: This is the hardest. Speaker 3: As you know, the Oscars are this week and we have a wonderful opportunity. First of all, congratulations to the entire place first. This is going to be great. I'm so excited to...

description and to perform financial analysis and also to perform event planning.

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Speaker 1: Thinking about your career. Speaker 2: I'm just ready to have like more responsibility. Speaker 1: But we had already learned that the fashion industry had tough competition. She's not telling Emily what it takes to be a team leader. Speaker 3: And you can take the other girls down. They're going to go. Speaker 4: What do you really want to do?