AI companion for your workspace, with per‑project memory, coding agents, and a native desktop chat UI
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Updated
Jun 20, 2026 - Go
AI companion for your workspace, with per‑project memory, coding agents, and a native desktop chat UI
Operational doctrine for practical AI systems design.
The AI Contract Runtime
A muti-agent Dnd DM that directs you to dive into a fantasy world!
Structure-first pipeline that transforms GitHub repositories into question-indexed, graph-grounded semantic assets for code search, Graph-RAG, and LLM-based reasoning.
AI-Powered Ad Campaign Orchestration Platform
A hands-on technical book and Python lab for building and evaluating agentic systems.
PromptGuard is a pragmatic, opinionated framework for establishing continuous integration for LLM behavior. It operates on a simple, verifiable principle: run the same prompts across multiple model configurations, compare outputs against defined expectations, and flag semantic regressions.
Open-source harness distillation: frontier teachers improve prompts, tools, validators, skills, and runtime policies around weaker models.
IntelliMesh AI is an **agentic decision system** designed for enterprise AI architectures—integrating **decision intelligence**, **multi-agent orchestration**, and **document intelligence pipelines** into a unified execution layer.
Documentation and design artifacts for Channel AI (Formerly New Dhatu), a multi-agent conversational analytics system.
Automatically extracts, validates, and structures invoice data from images and PDFs using OCR + a local LLM—eliminating manual data entry.
Perpenda — Android learning path for product professionals learning LLM systems through trade-offs, rubrics, and calibrated AI grading.
Публичная Markdown-версия настольной книги по LLM-инженерии: от задачи к рабочему результату.
Decision → Agent → Context → Evaluation → Trust — a structured view of enterprise AI system design and execution layers.
Patent microsite for long-context inference orchestration using per-region attention and residency control, predictive prefetch, reversible demotion, and coherence-veto protection.
Production-grade Retrieval-Augmented Generation (RAG) system for evidence-grounded equity research over SEC filings and live market news.
A systems-first implementation of agent control: explicit retrieval decisions, planner–executor separation, and auditable memory as core architectural mechanisms.
A conservative, agentic RAG system with evidence-bounded synthesis, citation enforcement, and zero hallucination tolerance.
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