Timothy Wong

Topic dashboard

Decision Latency & Personal Knowledge Systems

Last refreshed August 28, 2026 · 24 concepts

Decision Latency & Personal Knowledge Systems

The bottleneck on smart decisions is no longer information - it’s the gap between capture and synthesis.

My take

The frame I use for my own work is decision latency: the time between a useful signal landing in my inbox and that signal actually changing how I think or act. That gap is where most knowledge work quietly fails. We have unprecedented access to information and unprecedented difficulty turning it into a position we can defend.

The naïve answer is “use AI to read more.” That makes the problem worse — it widens the funnel without improving the synthesis. The better answer is to wire AI into the synthesis layer: a personal knowledge system that ingests sources, integrates them into living concept pages, and surfaces contradictions when they appear. Build once, compound forever. That’s the system this site runs on.

What I’m watching: how attention management plays out when one person is orchestrating multiple concurrent agent sessions, and whether the next generation of PKM tools is built around durable concept graphs rather than another note-taking surface.

Everything above the divider is mine. Everything below is auto-assembled daily from my knowledge base — individual links and summaries may be stale or off-target. Last refreshed: 2026-08-28.

What’s shifted recently

  • Agent Session Memory Loss Project Context (updated 2026-08-26)
    Agent session memory loss and project context continuity now include a broader production problem: long-running work must survive client disconnects, session restarts, multi-agent… — source · source · source

  • Knowledge Graph Methodology Application Stack (updated 2026-08-26)
    Knowledge-graph methodology and application stack is the use of graph-structured representations to organize code, industrial facts, philosophical texts, and personal research mat… — source · source · source

  • Governed AI Workflow Artifacts (updated 2026-08-25)
    Governed AI workflow artifacts are AI-generated documents, diffs, recommendations, or business decisions whose usefulness depends on being bound to evidence, rules, reproducible e… — source · source · source

  • Open Knowledge Format Agent Memory (updated 2026-08-25)
    Open Knowledge Format agent memory is the proposal that agents need portable, structured, human-readable knowledge stores rather than opaque chat transcripts, ad hoc markdown dump… — source · source · source

  • Decision Intelligence Operating Layer (updated 2026-08-20)
    Decision intelligence operating layers are enterprise systems that sit between data, AI models, business rules, and human governance to turn analysis into reviewable decisions and… — source · source · source

The ideas I keep coming back to

Currently active (last 30 days):

  • Agent Session Memory Loss Project Context — Agent session memory loss and project context continuity now include a broader production problem: long-running work must survive client disconnects, session restarts, multi-agent…
  • Knowledge Graph Methodology Application Stack — Knowledge-graph methodology and application stack is the use of graph-structured representations to organize code, industrial facts, philosophical texts, and personal research mat…
  • Governed AI Workflow Artifacts — Governed AI workflow artifacts are AI-generated documents, diffs, recommendations, or business decisions whose usefulness depends on being bound to evidence, rules, reproducible e…
  • Open Knowledge Format Agent Memory — Open Knowledge Format agent memory is the proposal that agents need portable, structured, human-readable knowledge stores rather than opaque chat transcripts, ad hoc markdown dump…
  • Decision Intelligence Operating Layer — Decision intelligence operating layers are enterprise systems that sit between data, AI models, business rules, and human governance to turn analysis into reviewable decisions and…
  • Gemini Notebook Agentic Computer Workspace — Gemini Notebook agentic computer workspace is the shift from NotebookLM-style source-grounded summarization into a notebook-scoped execution environment: each notebook is framed a…
  • Enterprise Context Layer For Agents — An enterprise context layer for agents is the governed infrastructure that sits between an organization’s data systems and any AI agent querying them, translating raw metadata int…

Established:

  • Karpathy LLM Wiki Workflow — Karpathy’s LLM wiki workflow is a system architecture for personal and organizational knowledge management in which LLMs maintain a persistent, interlinked markdown-based knowledg…
  • Agentic Rag Iterative Retrieval — Agentic RAG (retrieval-augmented generation) is a retrieval architecture in which the LLM does not retrieve once and generate — it loops: grading retrieved chunks, rewriting queri…
  • AI Knowledge Graph Second Brain Stack — A knowledge-graph-based second brain is a personal or organizational memory system that uses typed relationships, entity mapping, and schema-guided filing to make AI agents reason…
  • LLM Personal Knowledge Base Stack — The LLM personal knowledge base stack is the concrete tooling architecture through which individuals implement Karpathy’s raw-to-wiki-to-query pipeline — most commonly pairing Obs…
  • Agent Memory Architecture — Agent memory architecture refers to the set of mechanisms by which AI coding agents and AI coworkers maintain context that persists beyond a single session, enabling continuity ac…
  • Graphrag Enterprise Rag Evolution — GraphRAG is the architectural shift in enterprise retrieval-augmented generation from pure vector similarity search to knowledge-graph-backed retrieval, where the system indexes e…
  • Personal Second Brain LLM Stack 2026 — A personal second-brain LLM stack in 2026 is a local-first system architecture that pairs a knowledge vault (typically Obsidian, markdown, or plaintext) with an LLM agent that rea…
  • Markdown Agent Knowledge Substrate — Markdown with YAML frontmatter is emerging as the standard substrate for both agent system definition (instructions, skills, tool interfaces) and machine-readable knowledge publis…
  • AI Personal Second Brain — An AI personal second brain is a system that pairs a structured personal knowledge vault — typically Obsidian markdown files — with an AI agent (commonly Claude Code) that reads,…
  • Knowledge Base Personal Systems — Personal knowledge-base systems built on LLMs and Obsidian: practitioner setups, automation patterns, second-brain workflows.
  • Cross Agent Persistent Memory MCP — Cross-agent persistent memory via MCP is a local-first infrastructure pattern in which a single SQLite-backed store — exposed as an MCP server — gives every coding agent on a mach…
  • LLM Knowledge Management — LLM knowledge management is the practice of using language models as the primary agent for building, maintaining, and querying a personal or organizational knowledge base — typica…
  • Notebooklm As Research Substrate — NotebookLM (backed by Google Gemini) is a document-grounded AI workspace that accepts sources — PDFs, URLs, YouTube videos, articles — and enables chat, synthesis, and audio overv…

Who I’m watching

  • Andrej Karpathy (person) — Andrej Karpathy is a researcher and educator who co-founded OpenAI and led Tesla’s Autopilot vision team.
  • Andrew Ng (person) — Andrew Ng is a long-standing AI researcher and educator — co-founder of Coursera and Google Brain, founder of DeepLearning.AI, and a frequent commentator on practical AI deploymen…
  • Garry Tan (person) — Garry Tan is the president and CEO of Y Combinator, and one of the most visible public commentators on AI coding tools, startup strategy, and AI security risk.
  • Jensen Huang (person) — Jensen Huang is co-founder and CEO of NVIDIA, which under his leadership became the world’s most valuable company by capitalizing on the AI infrastructure buildout.

Sources I’ve been drawing on

  • buttondown.com — cited in Agent Session Memory Loss Project Context
  • www.reddit.com — cited in Agent Session Memory Loss Project Context
  • toolsstackai.com — cited in Agent Session Memory Loss Project Context
  • www.reddit.com — cited in Agent Session Memory Loss Project Context
  • www.reddit.com — cited in Agent Session Memory Loss Project Context
  • www.reddit.com — cited in Agent Session Memory Loss Project Context
  • x.com — cited in Agent Session Memory Loss Project Context
  • github.com — cited in Agent Session Memory Loss Project Context
  • www.youtube.com — cited in Agent Session Memory Loss Project Context
  • news.ycombinator.com — cited in Agent Session Memory Loss Project Context
  • x.com — cited in Agent Session Memory Loss Project Context
  • blog.logrocket.com — cited in Agent Session Memory Loss Project Context