A practical model for understanding next-token prediction, knowledge, working memory, and steerability—and choosing the right controls for reliable AI-assisted work.
A fork of MadsLorentzen/ai-job-search that adds an automated Telegram digest bot — scraping job portals daily, ranking matches, and pushing rich job cards directly to your phone.
How Human Atlas ships a 12 MB standalone HTML atlas with embedded occupation packs, lazy-loaded society data, SHA-256 validation, and field-level evidence guardrails.
Standalone research workspace for exploring life, work, and society contexts with visible evidence boundaries — built for product brainstorming and solo-founder research.
A beginner-friendly map of eight reusable interview patterns — Two Pointer, BFS, Topological Sort, DFS, Top K, Modified Binary Search, Subset, and Sliding Window — with when-to-use rules, worked examples, and practice problems.
A self-registering Go learning repository where each concept file plugs into a sorted example runner via init() hooks.
A Maven-organized Java repository of 70+ runnable DSA implementations indexed by category for progressive study.
Architecture of a durable, resumable, evidence-verified control plane where a kernel owns state and side effects while a Plan Execution Coordinator proposes work under explicit policy envelopes.
Project overview of Delivery Foundry — a dual-track foundry for personal venture autonomy and organization 10x engineering, built on a shared governed kernel.
Project overview of ARES — the reference CLI for the AI Repository Standard that composes provider-specific artifacts from a canonical .ai/ source.
Autonomous YouTube production engine — dimension-parameterized media pipeline with PostgreSQL state machines.
Autonomous prediction-market trading system — modular monolith with Postgres event bus, probability gates, and adaptive risk controls.
How Shorts Factory uses a 16-stage deterministic pipeline with SQLite checkpointing to process hour-long videos into publishable shorts.
Section-sequential generation with cross-section coherence audits and guarded micro-fixes from A2A Brainstorm.
Task-based agent loops with bounded retries, checkpoint rollback, and quality gates in skeleton-parallel.
What this knowledge base covers — systems architecture, production patterns, and lessons from real engineering work.
Architecture of an autonomous YouTube production system built on deterministic pipelines and database-backed state machines.
Autonomous prediction market agent with signal processing, risk gates, and real-time capital protection.
Why most AI pipelines fail in production — and how idempotent workers plus database state make them reliable.
Using the database as the single source of truth to drive reliable workflow execution in distributed systems.
Central orchestrator patterns for coordinating AI workers, models, and pipelines without agent chaos.
Engineering patterns for constraining LLM behavior — boundaries, validation, and rollback in production AI.