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Nucleus
Internal tools ·
Wiki
Tools
HR & Org Chart
Conversational AI
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🩺
Ask Medwiki
Multi-turn health Q&A chatbot with 5 conversation variants — v2 pipeline with 9 steps & 10 AI prompts
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Conversations
Browse sessions, turns, pipeline traces & raw LLM responses
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Ask Medwiki Partners
Manage embedded chat widget partners, theme, helpers & usage
Content Creation
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Q&A Thumbnails
AI-powered Netflix-style thumbnails for health Q&A content using Gemini image generation
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Molecule A-Z
Medical illustrations for molecule pages
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Conditions
Disease & condition thumbnails
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📰
Posts
Health post thumbnails
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Video Content Agent
4-pillar AI topic discovery, script generation, multi-language video tracking & social media posting
Localization & Voice
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🌐
Disease Translator
Translate to Indian & global languages
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Translation Review
Review, dictionary & terminology
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🎤
Voice Clone
Clone voices & synthesize speech in 21 languages
Data & Research
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📄
MHRA SPC Scraper
Download SPC PDFs from MHRA
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📋
UKMHRA Labels
Batch scrape ukmhra_labels table
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📈
Health Trends
Trending from Google, Reddit & Quora
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🧠
MIG — Intelligence Graph
LLM-powered user profile inference engine with ChromaDB few-shot retrieval and 22+ parameter extraction
Growth & Revenue
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🎯
SEO CTR Agent
AI agent that learns SEO best practices and optimizes CTR from Google Search Console
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Revenue Engine
Centralized revenue data from GA4, AdSense & Search Console with page scoring, AI insights & weekly reports
Operations
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Nucleus Orchestrator
Run all 6 content pipelines with resource-aware scheduling across browser, Gemini & OpenAI lanes
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Agent Lookup
Detailed specs for all AI agents
5
Departments
15
AI Agents
6
Pipelines
3
Resource Lanes
🎨
Content Creation Head
Thumbnail design, video content strategy & visual asset generation
5 Agents
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Responsibilities
Generate AI thumbnails for all content types (Q&A, molecules, conditions, posts)
Maintain consistent Netflix-style medical illustration aesthetic
Process batch generation through Gemini API with concurrency control
Upload assets to GCS and update image URLs in production DB
4-pillar video content strategy: topic discovery, script generation in 13 languages
Track video production pipeline and social media distribution across platforms
Agents
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Q&A Thumbnail Agent
Generates thumbnails for vertex_chat Q&A posts
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Molecule Thumbnail Agent
Medical illustrations for molecule_groups table
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Condition Thumbnail Agent
Emotion-driven illustrations for diseases table
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Posts Thumbnail Agent
Netflix-style thumbnails for health posts
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Video Content Agent
4-pillar topic discovery, OpenAI script generation in 13 languages, video tracking & social posting
Targets
100%
Page coverage
10/batch
Items per cycle
<5%
Failure rate
Timeline
Q&A + Molecule thumbnails
Done
Core Gemini image generation pipeline
Condition + Posts thumbnails
Done
Extended to all content types
Clickbait hook text overlays
Done
Engagement-boosting text on thumbnails
Orchestrator batch processing
Active
Automated via Nucleus Orchestrator
Video Content Agent
Active
4-pillar playbook, AI topics & scripts in 13 languages, social media tracking
🌐
Localization & Voice Head
Multi-language translation & voice synthesis
3 Agents
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Responsibilities
Translate disease content from English to 8 Indian & global languages
Maintain translation quality via dictionary & review workflow
Voice cloning and TTS across 21 languages (DashScope, Sarvam, IndicF5)
Manage voice avatars and preset voices in production DB
Agents
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Disease Translator Agent
OpenAI-powered translation with dictionary enforcement
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Translation Review Agent
Quality review, retranslation & sync workflows
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Voice Clone Agent
Multi-provider voice cloning (DashScope, Sarvam, IndicF5)
Targets
8
Translation languages
21
Voice TTS languages
100%
Hindi coverage
Timeline
Hindi translation pipeline
Done
OpenAI-based disease translation
Voice cloning (DashScope + Sarvam)
Done
Multi-provider voice clone with 10+ languages
IndicF5 Indian language TTS
Done
Zero-shot cloning on GCP GPU VM
Multi-language expansion
Active
Extending to all 8 target languages
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Data & Research Head
Web scraping, data collection & user intelligence
4 Agents
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Responsibilities
Scrape MHRA SPC documents for drug_labels and ukmhra_labels tables
Discover trending health questions from Google, Reddit, Quora & YouTube
Build and maintain the Medwiki Intelligence Graph (user profile inference)
Ensure data pipelines run reliably with retry and error handling
Agents
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MHRA Scraper Agent
Playwright browser automation for drug_labels SPC PDFs
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UKMHRA Labels Agent
Batch scraping with auto-agent loop
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Health Trends Agent
Multi-source trending question discovery
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MIG Intelligence Agent
LLM-powered user profile inference with ChromaDB
Targets
100%
UKMHRA SPC coverage
Weekly
Trends cadence
22+
MIG parameters
Timeline
MHRA SPC scraper
Done
Playwright-based with GCS upload
UKMHRA labels + auto-agent
Done
Automated loop until all rows processed
Health Trends multi-source
Done
Google PAA, Reddit, Quora, YouTube, NDTV, TOI
MIG ChromaDB few-shot
Active
Improving inference accuracy
📈
Growth & Revenue Head
SEO optimization & revenue analytics
2 Agents
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Responsibilities
Identify low-CTR pages and generate AI-powered SEO recommendations
Aggregate revenue data from GA4, AdSense & Google Search Console
Score pages by revenue potential and surface optimization opportunities
Generate weekly reports and send alerts to Google Chat
Agents
🎯
SEO CTR Agent
GSC integration, Gemini analysis, knowledge base learning
💰
Revenue Engine Agent
GA4 + AdSense aggregation, scoring, weekly reports
Targets
+15%
CTR improvement
Weekly
Report generation
Daily
Data fetch cadence
Timeline
Revenue Phase 1 — Data aggregation
Done
GA4 + AdSense + GSC collection
Revenue Phase 2 — Intelligence
Done
Page scoring, opportunities & AI insights
Revenue Phase 3 — Reporting
Done
Weekly reports with Google Chat delivery
SEO CTR learning loop
Active
Knowledge base self-learning from recommendations
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Operations Head
Pipeline orchestration & infrastructure
1 Agent
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Responsibilities
Coordinate all 6 content pipelines with resource-aware scheduling
Manage shared resources: browser lock, Gemini semaphore, OpenAI lock
Round-robin batch processing across browser, Gemini & OpenAI lanes
Monitor pipeline health, track progress & handle failures gracefully
Agents
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Nucleus Orchestrator Agent
Resource-aware round-robin pipeline runner with 3 lanes
Targets
6
Pipelines managed
24/7
Unattended processing
0
Resource conflicts
Timeline
Pipeline definitions & resource lanes
Done
Browser, Gemini & OpenAI lane separation
Round-robin orchestration loop
Done
Cycle-based batch processing with stop/resume
Auto-scaling & smart scheduling
Active
Dynamic batch sizing based on pipeline health
Cross-pipeline dependency graph
Planned
DAG-based ordering and dependency resolution