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# AI Founder Clone & Content Automation System for The Proven Code ## Project Overview The Proven Code is building an AI-powered founder communication system designed to scale high-trust educational and marketing content using a digital clone of founder Gaurav Singh. The objective is not to create a generic influencer avatar, but to build a premium, founder-led AI communication engine that can continuously generate high-quality educational, marketing, and product-related video content for The Proven Code across multiple platforms. The system will combine AI avatar technology, voice cloning, script generation, video automation, and content workflows to create a scalable “AI Founder Layer” for the brand. --- ## Core Objective To create a highly realistic AI clone of fo...
I want to set up end-to-end automations that turn my raw ideas or long-form assets into multiple bite-sized formats and then distribute them automatically. The immediate focus is on: • YouTube Shorts • Pinterest pins If you are fluent in n8n or (Integromat) and comfortable chaining together AI tools for writing, image generation and video editing, this project should feel natural. I am open to whichever mix of GPT, Stable Diffusion, Midjourney, or other niche tools you prefer, provided the workflows run reliably and can be tweaked without vendor lock-in. Scope of work 1. Map a repeatable workflow for each asset type, showing the input triggers, AI steps, manual approval gates and the final export parameters. 2. Build and test the workflows in n8n or , using my API keys. 3. ...
**PROJECT: AI Voice Companion Pipeline — + ElevenLabs + Twilio + Airtable + Claude API** --- **OVERVIEW** I am building an AI companion service that makes scheduled outbound phone calls to elderly users. The AI agent (already configured in ElevenLabs Conversational AI) conducts a 7-minute conversation, and the system then processes the transcript to extract memory and generate a wellbeing report. I need an experienced developer to build the full automation pipeline connecting all components. The AI agent and system prompt are already written. You are building the plumbing, not the intelligence. --- **TECH STACK** - ElevenLabs Conversational AI - Twilio (outbound UK phone calls) - Airtable (user profiles, call records, memory storage) - (all automation and orchestration) - ...
We need a automation that receives WhatsApp attendance messages from facilitators, uses the Claude AI API to parse them, logs the data to Google Sheets, and sends a confirmation reply.# Module What it does 1 Twilio — Watch Messages Trigger: fires when a WhatsApp message is received on the Client Twilio number. 2 HTTP — Claude API call Sends the raw message text to the Claude API (claude-haiku-4-5-20251001). Claude parses it and returns structured JSON: present[], absent[], session_name, date. 3 Google Sheets — Search Rows Looks up each learner name/ID in the Learner Register sheet to retrieve their current cumulative attendance totals. 4 Google Sheets — Add Row (loop) Logs each learner’s attendance entry to the Session Log sheet: date, session, ...
My goal is to run task management from both Smartsheet and Notion while keeping them perfectly in-step through Make.com. ⚠ READ FIRST — The Two-System Model This is the most important section of the document. Everything else in this spec only makes sense if the two-system separation is understood. Read it twice. THE ARCHITECTURE SMARTSHEET = THE DATA LAYER. It holds cases, IDs, statuses, dates, contacts, expenses, payroll, leave balances. Smartsheet is the source of truth for all data. Day-to-day staff entry happens here. NOTION = THE WORK LAYER. It holds two things and only two things: (1) documents (LOAs, records, demands, pleadings, etc.) and (2) tasks (the to-do lists per phase). All tasks live in Notion. None in Smartsheet. = THE BRIDGE. When a case is created or updated on ...
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