Freelancers using ChatbaseFreelancers using Chatbase
AI Automation • Web Automation • Agentic AI • Vibe Coding
1x
Hired
5.0
Rating
33
Followers
AI Automation • Web Automation • Agentic AI • Vibe Coding
Cover image for Case Study: How One AI Agent Saved a Founder Weeks of Resear...
Case Study: How One AI Agent Saved a Founder Weeks of Research Hey founders! A few days ago, a client reached out with a new requirement. He said: “I need a full due diligence report Agent. Research everything news, social media, the whole internet and give me a clean PDF.” (for same report Messari.io (https://messari.io/) charge $4000/year) No big research team. No weeks of waiting. I built a smart AI agent that handled the entire job automatically. Here’s exactly what happened: The client simply uploaded the white paper. The AI read it carefully, then went out and searched the internet, news sites, and social media for real-world insights, risks, and opportunities. It pulled everything together and delivered a professional, ready-to-read PDF report. All done in hours instead of weeks. I used the latest AI tools behind the scenes a simple chat interface on Slack, multiple smart agents working together, and powerful search capabilities. But the founder didn’t need to know any of that. He just uploaded the document and got his report. This kind of AI is perfect when you have a consistent workflow things you do again and again, like due diligence, market checks, competitor reviews, or investment research. It gives you accurate, thorough results every single time without hiring extra people or spending endless hours. For non-tech founders, this is game-changing. You stay focused on building your business while the AI does the heavy research lifting. Would you use an AI like this for your next big decision? Drop a comment I’d love to know what kind of research you hate doing manually! 👇
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121
Interactive website that converts. In days, not weeks
2x
Hired
51
Followers
Interactive website that converts. In days, not weeks
Pitch Deck Designer | Packaging Design | Branding | Web
$5k+
Earned
2x
Hired
5.0
Rating
142
Followers
Pitch Deck Designer | Packaging Design | Branding | Web
Product Designer | SaaS, Mobile Apps & Framer Sites
Product Designer | SaaS, Mobile Apps & Framer Sites
Funnel System Setup & Testing Online Events, Full User Flows
5.0
Rating
2
Followers
Funnel System Setup & Testing Online Events, Full User Flows
Cover image for AI-Powered Event Operations: Automating Attendee
AI-Powered Event Operations: Automating Attendee Insights Overview: I designed and implemented a custom automation ecosystem for a large-scale online event to eliminate manual data handling. By connecting Typeform, OneDrive, and Slack, I transformed a chaotic manual process into a streamlined, AI-categorized workflow that recovers critical "brain capacity" for the core event team. The Challenge: The project faced a massive manual workload behind the scenes. Attendee data had to be exported, analyzed, and filed into spreadsheets by hand. This led to a significant delay in information sharing, leaving the team on Slack without real-time insights during critical event phases. The Solution: I built a multi-step automation using Zapier that does more than just move data: AI Categorization: Integrated an AI step (GPT-4 via Zapier) to analyze and categorize attendee responses in real-time. Automated Filing: Structured data is automatically filed into a Slack Canvas for immediate team access and a OneDrive Excel sheet for long-term tracking. Smart Quality Assurance: Built-in filters ensure only relevant, high-quality entries proceed to the team view. Interval Notifications: To prevent "notification fatigue," I added a digest step that sends a summary report to the Slack channel every three days, including direct links to new entries. The Results: - Time Savings: Manual operations were reduced from several hours per week to just a few minutes of monitoring. - Reduced Dependency: Shifted the process from permanent human dependency to sporadic system maintenance. The client is no longer reliant on a full-time assistant for data handling, only on occasional oversight. - Scalability: The system is built for "qualified maintenance"—it can be quickly adapted for future events, replacing repetitive copy-pasting with a scalable architecture. - Deliverables: In addition to the automation, I provided a visual process map (SOP) and a Loom walkthrough to ensure the client’s team can manage the system internally.
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35
Cover image for Automated Crossposting System (Facebook →
Automated Crossposting System (Facebook → LinkedIn + Google Sheets Logging) Overview: Built an automated crossposting system for a social media use-case, where new posts from a Facebook business page are automatically published as LinkedIn text posts and simultaneously logged in Google Sheets. The system ensures consistent publishing, full transparency, and reliable tracking — without manual intervention. The Challenge: Crossposting content between platforms required repetitive manual work: - Switching between Facebook and LinkedIn - Copying and adapting post content - Publishing posts individually - Tracking whether posts were successfully published This created a time-consuming workflow and introduced uncertainty around completeness and consistency. The Solution: Developed a Zapier-based automation that handles publishing and logging in one continuous workflow: - New Facebook posts are automatically detected - Content is transformed into LinkedIn-compatible text posts - Posts are published on LinkedIn without manual input - Each execution is logged in Google Sheets for transparency and tracking Zap Architecture (Technical Setup): Trigger: - Facebook Pages → New Post Step 1 – Data Extraction & Preparation: - Extract post message, links, and metadata - Clean and normalize text for cross-platform use Step 2 – Content Transformation: - Adapt structure for LinkedIn (text-only format) - Handle formatting differences between platforms - Prepare final post payload Step 3 – LinkedIn Publishing: - Action: Create text post on LinkedIn profile - Ensure correct formatting and link handling Step 4 – Logging (Google Sheets): - Create new row with: - Post content - Included link - Timestamp - Execution status (success/error) Step 5 – Error Handling & Iteration: - Debugging via JSON inspection and payload validation - Iterative improvements to stabilize the workflow - AI-assisted troubleshooting to resolve edge cases faster Key Features: - Fully automated crossposting workflow - Platform-specific content transformation - Built-in tracking and documentation - Reliable error handling and validation - Transparent execution history Results & Impact: - Saved ~1 to 2 hours of manual work per week (4–8 posts) - Eliminated platform switching and repetitive publishing tasks - Reduced uncertainty around publishing status - Improved consistency across platforms - Created a reliable, scalable system for ongoing content distribution Tools Used: Facebook Pages · LinkedIn · Zapier · Google Sheets
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