ZENOUZ.ai
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Projects

Public work selected for clarity and substance.

Each project is here because it says something concrete about how AI should be built, used, or explained.

Featured now

ZenInvest

ZenInvest is an open-source investing system that brings screening, research, debate, and execution into one governed workflow. A three-model committee — Claude on strategy, GPT-4o as skeptic, Gemini on risk — researches and argues each idea with live tools, a proactive macro layer sets the market regime, and deterministic Python controls keep final veto power over capital. It runs autonomously cycle-to-cycle, but every cycle is pausable, auditable, and gated by hard rules no model can override.

Retail investors face information overload, fragmented workflows, and too many opaque tools. ZenInvest is designed to reduce that burden without pretending judgment can be outsourced.

PythonFastAPIReactSQLiteMulti-LLMLightGBMDockerSlack
Read the ZenInvest brief
Why it belongs here
  • Agentic architecture that stays inspectable
  • Operator-supervised autonomy
  • Learns only behind hard gates
  • Technical product posture over return promises
Portfolio

Current public initiatives and future directions

Published work gets narrative depth here. Additional initiatives will appear once they are ready for a fuller public brief.

featured Decision intelligence for personal investing

ZenInvest

An open, agentic investing system with deterministic controls and clear operator oversight — currently a proof-of-concept running on Trading 212's Practice (paper) account, so no real capital is at risk.

  • A multi-agent committee that genuinely debates — research, skepticism, and risk roles read and rebut each other before any decision
  • Dynamic tool use across market data, news, filings, and macro context
  • Proactive macro intelligence sets a live RISK_ON / RISK_OFF / NEUTRAL regime for every cycle
  • Deterministic controls, audit trails, and operator visibility end to end
  • Python
  • FastAPI
  • React
  • SQLite
  • Multi-LLM
  • LightGBM
  • Docker
  • Slack
Read the ZenInvest brief
active Evidence-grounded job search intelligence

ZenGrowth

A local-first, auditable AI system that scores senior AI and data-science roles and drafts evidence-grounded applications — an early beta that keeps your data on your own machine.

  • Hard grounding gates reject any number or named entity a draft can't trace back to verified evidence
  • Structure-preserving CV tailoring realigns the summary and reorders evidence-backed lines instead of rewriting
  • Deterministic, explainable scoring with every ingest, score, and edit streamed to an audit log
  • Python
  • FastAPI
  • SQLModel
  • React 19
  • Claude
  • Tavily
  • SQLite
  • Docker
Read the ZenGrowth brief
From the lab

5 more projects, documented as R&D briefs.

Earlier-stage work lives in the lab until it earns a full project page. Each brief covers the idea, the engineering, and the pattern worth reusing.

Research & Education ZenArena

Can an agent get better without changing its weights?

ZenArena puts one of agentic AI's favourite claims — that memory makes agents better — under a falsifiable test, using chess and a Stockfish truth signal to measure whether governed memory beats remembering everything.

Research & Vision ZenForecast

Forecasting as a loop, not a number on a slide

ZenForecast is an open-source, governance-first Python framework that treats forecasting as a continuous predict → decide → act → learn loop — with interchangeable models, leakage-free backtesting, and an audit trail behind a single API.

Research & Education ZenLab

Measure before you build: a sandbox for de-risking agentic AI

ZenLab is an offline-first research monorepo spanning 21 AI/ML topics across 10 tracks — a place where agentic techniques must earn their way into production designs through experiments instead of hype.

Independent Innovation Stitch

Prove it in physics first: a digital twin for a canal-cleaning robot

Stitch is a simulation-first digital twin of an autonomous, wildlife-safe, amphibious litter-collection robot — a six-package ROS 2 / Gazebo system that must pass its full mission in simulated physics before a single part is bought.

Lab projects graduate to full project pages here as they mature. The full collection, including the ZenInvest and ZenGrowth briefs, lives in Writing.