Real projects, documented end to end.
Each project is written up as a case study and split into pages for its parts. Every page explains the process in text and diagrams and links to the rest of the same project.
Projects
RAG · Conversational AI · Document Generation
Meeting Intelligence Chatbot
A web chat assistant that syncs meeting transcripts from a shared Google Drive folder, answers questions about them with hybrid-search RAG, and drafts delivery documents (Executive Summary, HLRD, User Stories, Timeline Matrix) through multi-stage LLM pipelines. It is a live project, deployed through a GitHub Actions workflow.
- 01Case studyMeeting Intelligence Chatbot
- 02AutomationGoogle Drive → Searchable Meeting Index
- 03AutomationMeeting Transcripts → Delivery Documents
- 04PromptMeeting Q&A Direct-Answer Prompt
- 05ExperimentFast, Two-Stage or Chained: Generating Documents From Meetings
Multi-Agent Orchestration · Agentic Workflow
AI Executive Command Center
A multi-agent orchestration system that works as a small brand's virtual executive team: one conversational orchestrator routes every request to six specialist agents, who produce campaign strategy, launch and event plans, roadmaps and print-ready apparel artwork. A full executive-team run takes about 60–90 seconds and $0.10–0.30.
- 01Case studyAI Executive Command Center
- 02AutomationApparel Design → Print-Ready Kit
- 03AutomationClaude → OpenAI Image Generation via a Custom MCP Connector
Sections
- Work & Case Studies — The problem, how it was solved, and the future scope.
- Engineering — Each capability, linked to the project that proves it.
- Automations — Pipelines and connectors from those projects, laid out step by step.
- Prompt Library — Reusable prompt templates.
- Experiments — What worked, what failed and what was decided.
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