Engineering Work
Engineering Systems Built for the AI Era
We believe technical credibility comes from building real systems. This section documents our work across AI-native products, agentic architectures, cloud systems and engineering infrastructure.
Work
Engineering Work
ZoeWhy™
Prospect Decision Intelligence
ZoeWhy is an AI-native prospect intelligence platform designed to understand which companies may be entering meaningful buying windows — and why now.
Engineering themes
- AI agents
- Research orchestration
- Signal intelligence
- Temporal signals
- Decision intelligence
- Cloud infrastructure
- Production AI
Scripto
AI-Assisted Screenplay Development
A three-phase AI screenplay development platform that guides a story from logline to scene script through a nine-step workflow.
Engineering themes
- Multi-step AI workflow
- Structured generation
- AI image generation
- GPU inference
- Private cloud storage
- Rate limiting and caching
- Document exports
AREDVI
Building a Production-Grade Agentic Runtime
Engineering work focused on agent orchestration, execution, state management, reliability and production-grade agent workflows.
Engineering themes
- Agent runtime
- Orchestration
- State
- Parallel execution
- Retry handling
- Testing
- Reliability
Case Study
Scripto: AI-Assisted Screenplay Development
What is Scripto?
Scripto is a three-phase AI-powered screenplay development platform. Phase 1, the screenplay workflow, is deployed. Phase 2, visual generation for characters and scenes, is partially implemented.
- Django
- PostgreSQL
- Redis
- OpenAI GPT-4o
- Stable Diffusion XL
- IP-Adapter
- Docker
- AWS S3
- Alpine.js
- Tailwind CSS
Architecture
Scripto System Architecture
Workflow
The Nine-Step AI Screenplay Workflow
Logline Creator
Generates logline options from a movie idea.
Theme Creator
Derives themes, central message and moral questions from the chosen logline.
Character Summary Builder
Builds character profiles with role, traits, backstory, motivation and arc.
Movie Synopsis Generator
Produces a synopsis from the logline, theme and characters.
Act Breakdown
Structures the story in three acts, four acts or a story circle, with turning points.
Character Development
Enriches characters with physical, voice and relationship detail and prepares them for visual generation.
Beat Sheet Generator
Builds a 27-beat story structure from the acts, synopsis and characters.
Scene List Crafter
Expands the beat sheet into a scene list with settings, characters, mood and conflict.
Scene Script Writer
Writes selected scenes in screenplay format: action, character, parenthetical and dialogue lines.
Engineering Highlights
How Scripto Is Engineered
Guided, structured workflow
Each step's output is stored and reused as context for the next, so a story builds up consistently.
Duplicate-aware generation
Generation history and content hashing help avoid repeating earlier outputs.
Pluggable image generation
A service factory chooses between DALL·E and a self-hosted Stable Diffusion XL service with IP-Adapter for face and style consistency.
Private asset storage
In production, generated images are stored in a private cloud bucket and served through signed URLs.
Guardrails and resilience
Per-user rate limits, caching, security headers, input validation and structured error handling with retries.
Exports
Projects can be exported as JSON, PDF and Final Draft (.fdx), including a generated Story Blueprint.
Case Study
AREDVI: Building a Production-Grade Agentic Runtime From First Principles
What is AREDVI?
AREDVI (Aredvi Picks) is an AI-powered investment intelligence platform designed to monitor markets, analyze companies with multiple specialized agents and explain every recommendation. It is designed to be transparent, explainable and verification-driven.
- React
- FastAPI
- LangGraph
- PostgreSQL
- pgvector
- Redis
- AWS
This describes the platform architecture. It is not investment advice, and no performance results are claimed.
Architecture
AREDVI System Architecture
Agents
Specialized Analysis Agents
Momentum Agent
Analyzes 52-week highs, price momentum, trend strength, technical indicators and volume spikes, and outputs a momentum score from 0 to 100.
Fundamental Growth Agent
Analyzes revenue, profit and EPS growth, quarterly results and financial health, and outputs a fundamental score from 0 to 100.
News & Sentiment Agent
Analyzes company announcements, exchange filings, news coverage and market sentiment, and outputs a sentiment score from 0 to 100.
Research Agent
Answers investor questions such as why a stock was selected, using retrieval-augmented generation, vector search and LLM reasoning.
Engineering Highlights
How AREDVI Is Engineered
Signal fusion
Combines the agent outputs into a final AI score, a confidence score and a ranking score. A result qualifies only when multiple signals agree, the confidence threshold is met and risk requirements are satisfied.
Explainability
Every recommendation shows why it was selected or rejected, the agent scores, supporting signals and risk factors. No black-box recommendations are allowed.
Verification
Contract validation, runtime validation, rule validation and LLM judge evaluation. Every recommendation must pass verification before it is presented.
Data and retrieval
PostgreSQL for application data, pgvector for embeddings and semantic search, and Redis for cache, sessions and temporary workflow state.
Cloud architecture
Designed around AWS services including API Gateway, Cognito, Lambda, SNS, SQS, EventBridge, RDS PostgreSQL, ECS/EKS and CloudWatch.
Alerts and backtesting
Alerts by email, push notification and WhatsApp, plus a backtesting engine that evaluates strategy effectiveness.
Security first. Verification first. Contract-first agent communication. Explainability first. Production before demo.
Roadmap
Engineering Work in Progress
We will continue publishing engineering work as systems move into production and measurable results become available.
Explore
Related Capabilities
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