Mission modules

Three modules for the X32 expedition.

Each module handles a different distance from the unknown: deep engineering, friendly onboarding, and agentic automation.

01

Experiments shipping in public

Geek Lab

Tools and notes for people who enjoy seeing how the machine thinks.

Featured repository

Argus

Deep research that keeps digging after the first answer.

Argus is the first Geek Lab product from X32Studio: a Claude Code skill for research work that compounds over time. Give it a topic and it keeps going by scouting sources, writing structured records, extending a typed knowledge graph, publishing citation-backed reports, and turning the weak spots in those reports into the next search plan.

It is built around a data-as-backend approach. Source records, graph edges, search logs, and synthesis briefs stay in plain Markdown, JSON, JSONL, and YAML files, so the research trail remains inspectable instead of disappearing into a black box.

  • Skill-led research loop
  • Typed knowledge graph
  • Citation-backed living report
02

Learning products in design

Newbie Lab

Friendly products that make complex technology feel approachable without making it shallow.

Featured repository

Newbie Lab

Friendly products that make complex technology easier to approach.

Newbie Lab will collect learning products, guided workflows, and explainers for people who are curious about technical tools but do not want to start from jargon. The goal is to keep the depth while making the first step feel possible.

  • Guided learning paths
  • Plain-language explainers
  • Practical onboarding flows
03

Prototypes and applied systems

Agentic Lab

Agentic products that turn judgment, memory, and iteration into practical leverage.

Featured repository

Agentic Lab

Agentic products that turn judgment, memory, and iteration into leverage.

Agentic Lab will hold prototypes and applied systems for AI-native workflows. It is where X32Studio explores agents that can remember context, inspect their own gaps, and turn repeated work into better process.

  • Autonomous workflow design
  • Evaluation loops
  • Memory and iteration systems