Research

Memory, control, and shared human-LLM worlds.

Research here is practical. Some of it becomes product architecture, some becomes operational doctrine, and some becomes longer-horizon design work that tests how humans and model agents can meaningfully share tools, goals, and state.

Current research programs.

These tracks are at different levels of maturity, but they all reflect the same question: how do you build systems that can reason, act, and remain accountable?

Applied research infrastructure

Research reports inside ThothTerminal

The report roadmap turns ThothTerminal into a research engine where deterministic, versioned reports become the canonical surface for companies and concepts.

That means subject resolution, published primers and teardowns, freshness review, export history, and shared browser, MCP, and ChatGPT-app surfaces.

Implemented slice Discuss

Long-horizon operating blueprint

Institutional intelligence operating system

The target state described in the roadmaps is not a nicer dashboard but an institutional intelligence system that can build and refresh investment-grade views of companies, programs, products, and bottlenecks.

This is the deeper research framing beneath the current ThothTerminal work: richer datasets, better subject modeling, and more explicit operational loops.

Active direction Discuss

Simulation program

Zeta

Zeta is a tactics RPG and simulation project built around lawful magic, close-range mage combat, mastery over grind, and local LLM companions that act through the same world model.

The current prototype doctrine is explicit: prove the laws before scaling content volume, and make the simulation readable enough that players understand why outcomes happened.

Preproduction Open

The products are downstream of the research.

The report work inside ThothTerminal turns research into a durable surface instead of scattered notes. The institutional-intelligence direction asks what happens when that surface becomes continuously maintained. Zeta tests what it means for humans and model agents to share a rule-bound world rather than merely exchange text.