**AI AUTOMATION DESIGN LIBRARY**
**Project Index & Resource Hub**

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## Overview

This library contains executive-ready design documents and technical implementations for AI-powered workflow automation projects. Each project includes both strategic design documentation and technical implementation resources.

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## 📋 CURRENT PROJECTS

### 1. Blog Repurposing Automation
**Status:** Design Document – Management Review
**Owner:** Vishakha Mishra (Senior Marketing Analyst)
**Last Updated:** November 7, 2025

**Purpose:** Transform blog URLs into multiple channel-ready outputs (LinkedIn, Twitter/X, video scripts) with automated quality scoring and human approval checkpoints.

**Key Metrics:**
– 70% reduction in manual effort (90 min → <10 min per blog) - ≥3-5 formats per blog - ≥70% variants requiring minor edits only **Implementation:** - Platform: N8N (hosted) - Storage: Google Sheets/Docs - AI: Claude Sonnet 4.5 (or self-hosted) **Resources:** - [Design Document - Blog Repurposing](#) - Implementation: Pending approval --- ### 2. AI-Powered Presentation Generation System **Status:** Design Document - Management Review **Owner:** Sam Gallinelli **Last Updated:** January 28, 2026 **Purpose:** Automated system that transforms diverse inputs (research topics, campaign data, project needs) into professional, on-brand PowerPoint presentations using AI orchestration across three distinct workflows. **Key Metrics:** - 75% time reduction (6 hours → 90 minutes per presentation) - 3-5x throughput increase (20 → 60 presentations/month) - ≥80% presentations score ≥75/100 - ≥70% approved with minor edits **Three Workflow Types:** 1. **Research Presentations** - Web search + document analysis 2. **Campaign Reports** - Marketing platform data integration 3. **Needs Analysis** - Intelligent gap analysis + recommendations **Implementation:** - Platform: N8N (cloud hosted) - Storage: Egnyte (templates, outputs), Smartsheet (tracking) - AI: Claude Sonnet 4.5 API + 10 specialized Sub-AIs - PPT Generation: python-pptx library **Resources:** - [Design Document - AI-Powered Presentations](#) - [N8N Workflow Implementation Guide](#) - [Download N8N Workflow JSON](#) *(See below)* --- ## 📊 PROJECT COMPARISON MATRIX | Feature | Blog Repurposing | AI Presentations | |---------|------------------|------------------| | **Complexity** | 3/5 (Moderate) | 3.5/5 (Moderate-High) | | **Implementation Time** | 2-4 weeks | 12 weeks (phased) | | **Time Savings** | ~70% (80 min/blog) | ~75% (4.5 hrs/presentation) | | **AI Orchestration** | Simple linear flow | Master + 10 Sub-AIs | | **Human Checkpoints** | 1 (Approval in Sheets) | 1 (Email approval workflow) | | **Output Formats** | 3-5 variants per blog | 1 PPT per request | | **Data Sources** | 1 (Blog URL) | 3-10 (varies by path) | | **Storage** | Google Sheets/Docs | Egnyte + Smartsheet | | **Quality Scoring** | 0-25 rubric | 0-100 QA score | | **Auto-Regeneration** | Yes (1x if <18) | Yes (2x if <75) | --- ## 🎯 SUCCESS PATTERN LIBRARY ### Common Success Metrics Across Projects **Efficiency Metrics:** - Time reduction: 70-75% consistently targeted - Throughput increase: 3-5x standard goal - Quality threshold: 70-80% passing without heavy edits - Adoption rate: 60-80% within first 3 months **Quality Metrics:** - Automated scoring: Pass/fail thresholds (18/25 or 75/100) - Auto-regeneration: 1-2 attempts with tightened instructions - Human approval: Required regardless of AI scores - Feedback loop: Captured and incorporated into prompts **Implementation Patterns:** - Phased rollout: Start simple, add complexity - Pilot testing: 3-10 items with 100% human review - Error handling: Retry logic, fallback mechanisms, graceful degradation - Tracking: Comprehensive logging in sheets/databases --- ## 🔧 TECHNOLOGY STACK ### Automation Platform **N8N** (Cloud/Self-Hosted) - Used in: All projects - Strengths: Visual workflow builder, extensive integrations, code node flexibility - Cost: Free self-hosted, ~$20-50/month cloud ### AI/LLM **Claude Sonnet 4.5** (Anthropic API or self-hosted) - Used in: All projects - Role: Master orchestration + specialized sub-tasks - Fallback: Self-hosted inference endpoint if external APIs restricted ### Storage & Tracking - **Google Workspace** (Sheets, Docs) - Blog Repurposing - **Egnyte** - AI Presentations (templates, outputs) - **Smartsheet** - AI Presentations (tracking, approval workflow) ### Integrations - **Marketing Platforms:** Eloqua, Google Analytics, Meta Ads, LinkedIn - **PM Tools:** Asana, Monday (future) - **Document Storage:** Egnyte, Google Drive - **Communication:** Email/SMTP, Slack (future) --- ## 📚 REUSABLE COMPONENTS ### AI Orchestration Patterns **1. Master Orchestration AI** - **Purpose:** Route inputs to specialized workflow paths - **Used in:** AI Presentations - **Pattern:** Classification → Routing → Path-specific processing **2. Quality Assurance AI** - **Purpose:** Score outputs against rubric, trigger regeneration - **Used in:** Both projects - **Pattern:** Score → Threshold check → Regenerate or proceed **3. Gap Analysis AI** - **Purpose:** Identify missing information with recommendations - **Used in:** AI Presentations (Needs Analysis) - **Pattern:** Compare available vs ideal → Flag gaps → Provide suggestions **4. Content Synthesis AI** - **Purpose:** Analyze sources and structure content - **Used in:** Both projects - **Pattern:** Gather sources → Extract insights → Structure output ### Prompt Engineering Frameworks **Summarization & Extraction** ``` Key points, audience, tone cues, CTAs, hooks → Structured JSON output ``` **Content Generation** ``` Format specs (char limits, hashtags, CTAs) + Brand voice guidelines + Platform best practices → Multiple variants ``` **Quality Scoring** ``` Dimensions: Clarity, Engagement, Tone, Actionability, Platform Fit → 0-5 per dimension → Pass/fail threshold → Edit suggestions ``` --- ## 🚀 GETTING STARTED GUIDE ### For Design Document Reviewers 1. **Review Design Doc** - Understand business purpose, workflow, metrics 2. **Assess Feasibility** - Check dependencies, timeline, resources 3. **Evaluate ROI** - Time savings, quality improvements, adoption potential 4. **Approve or Request Changes** - Provide specific feedback in comments ### For Technical Implementers 1. **Download Resources** - Design doc + workflow JSON (if available) 2. **Set Up Infrastructure** - N8N instance, credentials, storage 3. **Import Workflow** - Load JSON into N8N 4. **Configure Integrations** - Update API endpoints, credentials 5. **Pilot Test** - Start small, validate outputs, iterate 6. **Scale & Monitor** - Expand to full production, track metrics ### For End Users 1. **Familiarize with Workflow** - Understand inputs, outputs, approval process 2. **Prepare Inputs** - Follow formatting guidelines, provide complete data 3. **Review Outputs** - Use rubric/scoring criteria for evaluation 4. **Provide Feedback** - Capture issues, suggestions for improvement 5. **Adopt & Iterate** - Integrate into regular workflows, refine over time --- ## 📥 DOWNLOADABLE RESOURCES ### Design Documents - **Blog Repurposing Automation** - [View in WordPress](#) - **AI-Powered Presentation Generation** - [View in WordPress](#) ### N8N Workflow Files - **AI Presentation Generation Workflow** - [Download JSON](link-to-uploaded-file) - Blog Repurposing Workflow - *Coming soon after approval* ### Templates & Guidelines - AI Orchestration Best Practices - *In development* - Prompt Engineering Templates - *In development* - Quality Scoring Rubrics - *In development* --- ## 🔄 CONTRIBUTION GUIDELINES ### Adding New Projects 1. **Design Phase** - Follow design document template - Include: Business case, workflow, AI orchestration, metrics, timeline - Submit for management review 2. **Implementation Phase** - Build in N8N or approved platform - Document technical specifications - Create testing checklist 3. **Documentation Phase** - Create WordPress posts (design doc + technical guide) - Upload workflow JSON/code - Update this index 4. **Knowledge Sharing** - Extract reusable patterns - Document lessons learned - Update success pattern library --- ## 📊 PORTFOLIO METRICS ### Aggregate Impact (Once Implemented) **Time Savings:** - Blog Repurposing: ~80 minutes per blog - AI Presentations: ~4.5 hours per presentation - **Total Monthly Savings:** ~200+ hours (assuming 20 blogs + 60 presentations) **Quality Improvements:** - Consistent brand voice and formatting - Automated quality checks before human review - Reduced errors through validation layers **Throughput Increases:** - Blog content: 3-5x more repurposed variants - Presentations: 3-5x more deliverables **Adoption & Satisfaction:** - Target: 60-80% adoption within 3 months - Target: ≥4.0/5.0 user satisfaction --- ## 🎓 LEARNING RESOURCES ### AI Orchestration - [N8N Documentation](https://docs.n8n.io) - [Claude API Documentation](https://docs.anthropic.com) - MCP Server Integration Guides ### Workflow Automation - N8N Community Forums - Workflow Optimization Techniques - Error Handling Best Practices ### Prompt Engineering - Anthropic Prompt Engineering Guide - Few-Shot Learning Examples - Output Structuring with JSON --- ## 📞 PROJECT CONTACTS ### Blog Repurposing Automation - **Owner:** Vishakha Mishra (Senior Marketing Analyst) - **Support:** Marketing Ops Team - **Technical:** IT/Automation ### AI-Powered Presentation Generation - **Owner:** Sam Gallinelli - **Development:** Technical Lead (60-80 hours) - **Support:** Marketing Ops Manager, Project Manager --- ## 📅 ROADMAP ### Q1 2026 - ✅ Blog Repurposing - Design complete, awaiting approval - ✅ AI Presentations - Design complete, implementation started - ⏳ Blog Repurposing - Implementation (if approved) - ⏳ AI Presentations - Phase 1 pilot (Campaign Reports) ### Q2 2026 - AI Presentations - Phase 2 (Research) + Phase 3 (Needs Analysis) - Blog Repurposing - Production deployment - Additional automation projects TBD --- ## 🔐 ACCESS & PERMISSIONS All design documents and workflows are internal resources. Access requires: - WordPress login credentials - N8N instance access (for implementers) - API credentials for integrated services (as needed) For access requests, contact project owners or IT/Automation team. --- **Last Updated:** January 28, 2026 **Maintained By:** AI Automation Team **Version:** 1.0