Six-phase adaptive learning cycle, cycle over cycle
Semantic episodic memory with cross-session retrieval
11-phase implementation validation gauntlet
Directed bug triage ML pipeline for autonomous repair
Reusable SKILL.md artifacts — knowledge that ships
Generated Material
Explore the System
Five complementary formats — each designed for a different context and audience.
Technical White Paper
System Architecture & Research
A comprehensive 9-section deep dive: problem statement, six-phase learning loop, agent roles, implementation validation, security architecture, and research foundations.
A scripted 55-minute podcast episode with 15 segments, screen-share cues, and full technical commentary covering every tab and capability of the live system.
~55 min runtime · 15 segments · annotated with cues
Cinematic Teaser
The Teaser Video
A 100-second animated cinematic introduction to the system. 11 scenes, generative electronic music, and the full narrative arc — from cold start problem to autonomous mastery.
A 15-slide visual companion to the podcast. One concept per slide — six-phase cycle diagram, mastery scoring, 11-phase pipeline, cross-session memory, SKILL.md artifacts, and the 8 groundbreaking claims.
A recorded video podcast walking through the live, running system in real time — sharing the screen across every tab, live inference calls, and the full 55-minute technical narrative.
~55 min · screen-share · live system · full audio
Recording in production
Research Foundation
Built on Peer-Reviewed Foundations
The architecture draws directly from primary literature in autonomous AI, self-improvement, and continual learning.
Voyager: An Open-Ended Embodied Agent with Large Language Models
Wang et al. · 2023
Skill library construction and lifelong learning in open-world environments — the direct ancestor of the SKILL.md artifact pattern.
STaR: Self-Taught Reasoner
Zelikman et al. · 2022
Bootstrapping reasoning ability from correct answers, informing the system's self-assessment and gap-identification architecture.
AlphaEvolve: A Gemini-Based Coding Agent
Fawzi et al. · 2025
Evolutionary program synthesis — the conceptual basis for the directed repair loop and 11-phase implementation validation.
Darwin Gödel Machine
Schmidhuber · 2025
Self-referential improvement systems: the theoretical foundation for the meta-cognitive SKILL.md artifact on self-learning systems.
About
Contact
Mark Wireman · Dharmatech LLC
This system represents over a year of research into autonomous knowledge acquisition, continual learning architectures, and AI-native software engineering. It is a working implementation — not a prototype or a paper — capable of producing verified, validated implementations and reusable expertise artifacts on any technical topic.
The goal is practical: compress weeks of expert-level research and implementation into a single automated run, leaving behind durable artifacts that accelerate every future engagement with the domain.