Library

Enterprise OpenClaw Playbook (Synthesis) Cross-source answer to: "What are the key insights on agentic engineering, and how can OpenClaw-style setups be applied in enterprises?" Synthesizes 8 sources across the Andrej Ka

ServiceNow Earnings Reaction — Forced AI Bundling and Retention Risk A synthesis of how ServiceNow (NYSE: NOW) earnings have been received in mid-2026, the customer backlash to forced AI bundling , and whether that backl

CLI vs API vs MCP How LLM agents (esp. Claude Code) talk to external tools. Three sources in this wiki argue about this; the picture is more nuanced than a flat tier list. Side-by-side Dimension CLI API MCP --- --- --- -

DRAG for AI Upskilling at Manila IT Site Question (2026-05-30, via Telegram 3097): "Find our DRAG framework from the my second-brain and share with me practical way I can apply in AI upskilling at Manila IT site." The wi

Daily Learning Capture Pipeline (Telegram → Wiki) Question (2026-06-27): Do you save the transcript of the YouTube video link I share to raw folder, or just the link? Short answer: yes — the transcript (or article body,

Data Democratisation in Sales — Governed Context Layer, Not Dashboard Access The user's POV (filed back as a query page). Question that triggered it: "How do I implement Data Democratisation inside a sales domain?" Answe

Designing AI Products That Don't De-Skill Users The Gedeon-side complement to Will AI Make Us Dumber Method-Dependent Evidence and Sandeep's Key Insights on Using AI Effectively. Those two answer the usage question — wha

Designing IT Roles for an AI Era — A Talent-Strategy POV Question (2026-06-02): As AI pushes humans toward higher-value work anchored in domain mastery and solution design, how should we structure IT roles inside an ente

Elevating Manila IT — A 10X-but-not-Hustle Point of View Question (2026-06-02): As the leader of P&G's Manila IT org (which serves P&G globally), how do I elevate the org and its talent — drawing on the 10X mindset (The

How Loops Are Improving Work — Sunil's Research Brief "Our research to find out how loops are really improving work for people in coding as well as non-coding users. There was this discussion about loops being used to he

Managing Enterprise IT Development in the Era of Token Scarcity Question (2026-06-11): "How do we think of managing IT development work for enterprise IT in the era of token scarcity? Guardrails, incentives and model cho

Manila IT Podcast Ep.1 — Why 10X IT and What's Changing for Your Role Context (2026-06-13): Producer POV for the pilot episode of the Manila IT Podcast — a weekly internal show for the P&G Manila IT team (PMs, IT Ops, SR

Sandeep's Key Insights on Using AI Effectively Question (2026-05-30, via Telegram 3099): "Go to my second brain and find out what Sandeep has taught on key insights on using AI to be super effective." The wiki has Sandee

Turning This Mac Into an AI Operating System Question: Watching Nate Herk's AIOS video — how do we actually turn this Mac into an AI Operating System (AIOS)? Short answer: You're already ~70% there — further along than N

Unlocking 10X in Domain Masters as AI Gets Better Question (2026-06-11): "As AI is becoming better each day, how can one leverage this to unlock a 10X mindset for employees that have domain mastery?" The core claim: AI i

Will AI Make Us Dumber? Method-Dependent Evidence Question (2026-05-16): "Can you tell me specific data to argue that AI will not make us dumber if we follow a specific method?" The honest one-liner No single longitudina

AI Operating System (AIOS) A single AI workspace — for Nate Herk (AI Automation), Claude Code running Opus 4.8 — that you work out of by default instead of tab-switching across chat apps, browsers, and SaaS tools. It hol

AIM Protocol Sandeep Swadia's prompting micro-pattern: A ctor / I nput / M ission. Used as the drafting-stage helper in DRAG Framework. "Hey AI, act in this role, use this input, and this is your mission." The three slot

ARR Framework Sandeep Swadia's one-axis decision rule for whether to use an agent or a prompt , from You're Not Behind (Yet) Learn AI Agents (theMITmonk). "If a task is autonomous, recurring, and reviewable, it's a stron

AWARE Framework A technical control structure for governing AI agents at enterprise scale. Developed by Glean's Work AI Institute in collaboration with Databricks and Palo Alto Networks. Per Ben Mayrides (CISO at Cvent),

Advantage Gap Nathaniel Whittemore's crystallization (June 2026): the gap in value extracted from AI between power users and casual users is widening sharply — and OpenAI's ChatGPT super-app overhaul is best read as a UX

Agentic Engineering Andrej Karpathy's term for the engineering discipline emerging on top of Vibe Coding. While vibe coding raises the floor (anyone can build), agentic engineering raises the ceiling — preserving the pro

Agentic Loop The execution pattern that makes an LLM into an agent rather than a chatbot. Also called the ReAct pattern — Reason, Act, observe, repeat. The loop 1. Task arrives (via Slack, iMessage, CLI, API, etc) 2. Ass

Auto Research Loop (Karpathy) A minimal loop primitive Andrej Karpathy proposed (≈Q2 2026) for letting an LLM agent improve a system overnight without supervision. Three ingredients, ~10 lines of program.md : 1. An artif

Bike Method Nate Herk (AI Automation)'s rule for granting agent autonomy: earn it in phases, like teaching a kid to ride a bike. You don't hand a kid a bike, strap on a helmet, and walk away. You walk alongside, hold the

Binary Eval Assertions The eval-design principle that makes auto-research loops actually converge: assertions must be true-or-false, codable, and not require interpretation. Coined here from Simon Scrapes's framing in Bu

Bounded vs Unbounded Tasks A practical framework from Praveen Akkiraju for deciding where agent autonomy is realistic and where humans must stay in the loop. The dichotomy Bounded tasks Unbounded tasks --- --- --- Output

Build vs Buy (Agents) When does an enterprise build its own agentic capability vs buy a vendor product? The decomposition (Praveen, Agentic AI in the Enterprise (Praveen Akkiraju, CXOTalk)) The build/buy line breaks down

Capabilities vs Instructions (Agent Keys) Nate Herk (AI Automation)'s sharpest safety principle: instructions are not the same as capabilities. Picture every tool the agent has as a key on a key ring . There's a world of

Chief GBS Orchestrator The emerging top role in Everest Group's "future of GCCs" view (GCC Philippines Summit 2026 (PHx)): a leader accountable for enterprise flow, execution coherence, and value realization , who owns o

Cobra Effect The classic incentive trap : reward the wrong proxy and people optimize the reward while abandoning the actual goal. The origin Named for a 1900s Delhi bounty that paid a reward per dead cobra to cut the sna

Code Is Free Ryan Lopopolo's framing: the production, refactoring, and deletion of code is no longer a scarce resource. The asymmetry that traditionally constrained software engineering — "humans write code; humans are s

Cognitive Offloading The act of handing off a cognitive task — a decision, a calculation, an interpretation — to an external system, with the cost of not building (or eroding) the internal capability to do it yourself. P

Context Development Lifecycle Patrick Debois's framing: if context is the new code, then the loop you wrap around it should look like a software development lifecycle. Four phases, drawn as an infinity loop in the talk:

Context Engineering The discipline of getting the right data to the model at the right time, with the right permissions, in the right shape — at runtime. "A model is only as good as the context it can access." — Context

DRAG Framework Sandeep Swadia's 4-category delegation rubric for what to outsource to AI . From Dangerously Smart with AI (theMITmonk). Companion to the capped-payoff vs uncapped-payoff curves (intelligent laziness): DRA

Dark Patterns UX design choices that look like they help the user but actually steer them toward outcomes they wouldn't choose with full information. Coined by UX practitioners around 2010; long pre-AI. Canonical example

Data Democratisation The idea that broad access to data improves decisions. The user's working definition (refined against Prukalpa's context-layer essay): democratising data means democratising the meaning of data — def

Default Shift The core mindset move behind an AI Operating System (AIOS): reach for Claude Code first , before opening Chrome, a chat app, or any SaaS tool — for every task, not just coding. Nate Herk (AI Automation)'s r

Desirable Difficulties A principle from Robert Bjork's memory research at UCLA: ease and retention move in opposite directions . The harder the brain has to work to pull an idea out, the stronger the memory becomes after

Ebbinghaus Forgetting Curve The empirical observation, originally from Hermann Ebbinghaus's 1880s self-experiments, that retention of new information decays steeply and fast without reinforcement. The headline figure quo

Effective Feedback Compute A trace-level scaling coordinate for agent harnesses introduced in Scaling Laws for Agent Harnesses via Effective Feedback Compute (arxiv 2605.29682, May 2026). EFC's premise: raw expenditure (

Effort levels A per-request dial on Claude models controlling how much reasoning/compute is spent: low → medium → X-high → max . Higher effort = better output on hard tasks but more tokens, more cost, and more latency. C

Expert Generalist The orchestrator archetype that emerges as the valuable human-in-the-loop in agentic-AI teams. Named by Martin Fowler / ThoughtWorks in a July 2025 article; convergent with Werner Vogels (Amazon) Renais

FOBO (Fear of Becoming Obsolete) The acronym for the workforce-anxiety phenomenon that has emerged alongside the productionisation of AI tools: employees' fear that their jobs will be eliminated or their skills devalued

Fluency Illusion The cognitive bias of mistaking recognition for retrieval . When information arrives smoothly — a clean explanation, a polished summary, an instant answer — your brain registers the smoothness itself as

Four C's Framework Nate Herk (AI Automation)'s architecture for building an AI Operating System (AIOS). Four layers, each of which can't work without the previous one . His later refinement (I Turned Claude Fable Into Th

Frontier GCC McKinsey's term (GCC Philippines Summit 2026 (PHx)) for the top-percentile ( P95+ ) GCCs that have become transformation engines for the enterprise, not cost centers. Defined by a triple play: Talent + Innov

GCC Value-Perception Gap Everest Group's finding (GCC Philippines Summit 2026 (PHx)) that enterprise leaders perceive a GCC's value as ~20% lower than the GCC's own leaders rate it — and the gap is widest with the most i

GPS Check (for Agents) Sandeep Swadia's pre-flight diagnostic before automating anything with an agent: G oal / P roof / S teps. From You're Not Behind (Yet) Learn AI Agents (theMITmonk). "An agent is not magic. It's a m

Hallucination Laundering Martin Keen's coinage in Five AI Risks That Can Get You Fired (IBM Technology) — the act of taking plausibly-confident AI output and presenting it as one's own work without verification, thereby

Harness (LLM Agents) The scaffolding around an LLM that turns it from a stateless next-token machine into a useful agent. Roughly: tools + context + memory + guardrails + observability . The most-cited line, from Praveen

Headcount-to-Value Pivot The central thesis of GCC Philippines Summit 2026 (PHx): enterprises (and their GCCs) are shifting from headcount-led growth to value-led growth — revenue and impact decoupling from FTE count as

Hourglass Organization Steven Brovich's named org shape for the agentic-AI era. Named in A Leaders Guide to Advanced Team Structures (AWS Events). The form that preserves the talent pipeline while still capturing agent-a

Human in the Loop The pattern of keeping a human approval/review step inside an agentic workflow. Default operating model in 2026 enterprise AI per all three CXOTalk sources in this wiki. When humans should stay in the l

Intelligent Fool Sandeep Swadia's frame for beginner's mind as the prerequisite for using AI well , from step 4 of Dangerously Smart with AI (theMITmonk). "The biggest obstacle to intelligence isn't ignorance, it's ego.

Intelligent Gym Sandeep Swadia's frame for the deliberately-frictioned use of AI: when the goal is to build your capability, AI is a spotter, not a substitute. Coined in Dangerously Smart with AI (theMITmonk). "Most peop

Intelligent Hill (Prompting Camps) Sandeep Swadia's metaphor for the prompting hierarchy, from Dangerously Smart with AI (theMITmonk). The "hill" is the climb from naive prompting to agent-level work; each "camp" is a mo

Jagged Intelligence The observation that frontier LLMs simultaneously demonstrate superhuman capability in some domains and trivially fail in others — capability profile is spiky , not smooth. Two independent sources in

Knowledge Work Factory Redesign OpenAI's framing of Codex (June 2026, in the report The Next Era of Knowledge Work ): knowledge work is the next domain due for a factory-style redesign, and Codex is positioned as that re

LLM Wiki Pattern A pattern for building personal knowledge bases where an LLM agent incrementally builds and maintains a persistent, interlinked wiki between the user and their raw sources. The user curates and questions

Model Routing Deliberately matching each task to the cheapest model that is sufficient for it, instead of running everything on the frontier model. The practical-economics counterweight to ever-more-capable (and ever-mor

Narrow Agents Sandeep Swadia's thesis that the agents that win — in both the enterprise and the startup market — are obsessively narrow , not broadly capable. From You're Not Behind (Yet) Learn AI Agents (theMITmonk). "M

OODA Loop O bserve, O rient, D ecide, A ct. A decision-cycle framework from US Air Force Colonel John Boyd (1970s), originally explaining why American F-86 pilots beat technically superior Soviet MiG-15s in Korea. "Ameri

PRIME Framework Sandeep Swadia's 5-element prompting rubric, from How To Use Claude Better Than 99% Of People (theMITmonk). The "full" version of his earlier AIM Protocol — a richer scaffold for setting up a high-quality

Productive Resistance A design principle for AI interfaces: insert just enough friction before answering so the user does some cognitive work — but not so much that they defect to a simpler tool. The unsolved sweet spot

Recursive Self-Improvement The hypothesis that a sufficiently capable AI system can iteratively improve its own design — write better versions of itself, refine its own training process, or evolve its agentic scaffolding

Reward Hacking When an agent maximizes its reward signal in a way the designer did not intend — typically by exploiting a flaw in the evaluation, the environment, or the constraints rather than performing the underlying

SaaSpocalypse The thesis that AI agents are an existential threat to the SaaS industry . The framing names four attack vectors — "the four SaaSquatches" : 1. Large AI labs moving horizontally into apps — model providers

Self-Evolving Agents A research thread Sunil tracks via a daily-watch feed (see Telegram triggers 3236, 3239). The umbrella concept: agents that improve themselves or their offspring across runs , rather than starting co

Shadow AI The new variant of Shadow IT: employees adopting AI tools / building AI agents without central IT approval. Three sources in this wiki agree it's an inevitable byproduct of AI tooling becoming consumer-grade an

Skill Change Index (SCI) McKinsey's measure (GCC Philippines Summit 2026 (PHx)) of how much AI reprices the skills demanded by a role — the degree to which a given skill's relevance rises or falls as AI automates parts o

Skills (Claude Code) Reusable instruction files that encode how you specifically do a task , callable by natural language (or as a /slash-command ). In the Four C's Framework they are the Capabilities layer — the thing t

Spaced Repetition The practice of scheduling review sessions at progressively expanding intervals, timed against the Ebbinghaus Forgetting Curve so each retrieval attempt happens near the point where the memory is starti

Standardized vs Open Tasks The policy framework in BOK Issue Note 2026-12 for organising work so AI delivers actual productivity. The distinction is a sharper, more actionable version of the older economics "routine vs n

TRAP Framework Four-step protocol for durable learning, proposed by theMITmonk in How To Learn Anything So Fast (theMITmonk): T est it · R etain it · A ssociate it · P erform it Built to defeat the Fluency Illusion — the

Tasks to Responsibilities Shift Felix Ryberg's framing (June 2026, with Fable 5 launch): there have now been three eras of how people use AI. Era Unit Human-in-loop --- --- --- 1. Chat Questions — smarter search / autoco

Token Maxing Praveen Akkiraju's term for the enterprise pathology where teams burn through annual AI budgets in ~3 months. "As many tokens as you provide will get consumed as quickly as possible." Cited via a Goldman Sac

Token Scarcity The rationing regime that follows the token-subsidy era. As usage shifts from assisted (a human in the loop, bounded turns) to agentic (continuous loops, fan-out sub-agents), AI demand outpaces a physicall

Vibe Coding Term coined by Andrej Karpathy in 2025. Style of programming where you describe what you want in natural language, the agent writes the code, and you mostly stop reviewing it line-by-line — you trust the syst

Zombie AI Agent An agent spun up for a project (often a proof-of-concept), still running and authenticated long after the project ended, holding API keys and access nobody is monitoring anymore . Coined by Martin Keen in

A Leader's Guide to Advanced Team Structures in an Agentic World (AWS Events) AWS Events YouTube; Steven Brovich (Amazon since August 1999, ~27 years; second-half career on people/culture; part of Tom's "former C-level e

Agentic AI in the Enterprise (Praveen Akkiraju, CXOTalk) Praveen Akkiraju (Managing Director, Insight Partners) talks with Michael Krigsman about the state of enterprise agentic AI in 2026. The cleanest articulation of "

Andrej Karpathy on Agentic Engineering (Sequoia AI Ascent) Andrej Karpathy interviewed by Stephanie Zhan at Sequoia AI Ascent 2026. A year after coining "vibe coding," he argues the field has progressed from raising the

Anthropic Economic Index report: Cadences (June 2026) Anthropic Economic Index, June 26 2026 issue. The third in the EI series, and the first to (a) sample at a high enough rate to study hourly patterns, (b) classify the

Autonomous Software Development with Blitzy (CXOTalk) Enrique Ibarra (CIO, GNP — Mexico's largest insurer) on a real ~1,000-developer pilot of Blitzy, an autonomous software development platform. Concrete numbers from pr

Boris Cherny on Coding Is Solved (Sequoia AI Ascent) Boris Cherny, creator of Claude Code at Anthropic, interviewed by Lauren Reeder at Sequoia AI Ascent 2026. Argues that for the code he writes, coding is solved — he ha

Build Self-Improving Claude Code Skills (Simon Scrapes) Simon Scrapes applies Andrej Karpathy's auto research loop ("never stop") directly to Claude Code skills — set up an overnight loop where a skill iterates on its ow

CIO Agenda 2026 (CXOTalk) Tim Crawford and Isaac Sacolick (former CIOs, advisors) on why enterprise AI strategies are failing and what separates the transformational CIO from the survivor. Cited stat: 88% of companies us

CLI vs MCP (IBM Technology) Martin Keen (IBM) gives a more nuanced take on the CLI-vs-MCP debate than the partisan version in Printing Press (Nate Herk video). Conclusion: use both — CLI when commands map to the job, MCP

Context Engineering and GraphRAG (IBM Technology) Martin Keen on why model intelligence is no longer the bottleneck — context is. Maps out Context Engineering, the four pillars of a contextual system, and the family of R

Dangerously Smart with AI (theMITmonk) Second video by theMITmonk (Sandeep Swadia) in this wiki. A 4-step framework — Intelligent Laziness → Intelligent Hill → Intelligent Gym → Intelligent Fool — for using AI to raise c

Does AI Adoption Improve Productivity? Effects Over the First Three Years Bank of Korea Issue Note No. 2026-12 (June 8, 2026). The first vault source to put a macro econometric number on the gap between worker-level AI a

Five AI Risks That Can Get You Fired (IBM Technology) Martin Keen for IBM Technology — a 10-minute whiteboard rundown of the five concrete ways AI use (and AI deployment) is currently ending careers. Vendor-positioned as

GCC Philippines Summit 2026 (PHx) The inaugural PHx — GCC Philippines Summit (IBPAP GCC Council, Manila, 3 Jun 2026; 227+ leaders). Two knowledge-partner keynotes — McKinsey & Company and Everest Group — delivered, indep

Governing AI Agents at Scale (Glean + Cvent, CXOTalk) CIO Pradeep Mannakkara and CISO Ben Mayrides of Cvent (~5,500 employees, 6,000+ agents in production ) on how they govern at scale using the AWARE Framework developed

Harness Engineering (Ryan Lopopolo, AI Engineer) Ryan Lopopolo (member of technical staff at OpenAI) keynote on harness engineering at AI Engineer London 2026. Companion to a Latent Space podcast episode and OpenAI's har

How AI Got Better at Building Itself (Economist) Summary AI labs are edging toward Recursive Self-Improvement (RSI), the closed loop in which one model builds a more capable successor with no human in the loop. Anthropic

How Bosses Should Talk About AI (Economist) Summary A managerial how-to wrapped around the Bill Winters / Standard Chartered case study. Winters, the bank's CEO, announced a planned 15% reduction in back-office jobs over

How To Learn Anything So Fast (theMITmonk) YouTube monologue by theMITmonk (Sandeep Swadia) — ex-Wall Street, now CEO/board member/investor — arguing that AI has supercharged the fluency illusion : polished answers feel

How To Use Claude Better Than 99% Of People (theMITmonk) Third theMITmonk video (Sandeep Swadia) in this wiki. A practitioner walkthrough of Claude as a five-surface product stack (Chat / Projects / Cowork / Code / Chrom

I Turned Claude Opus 4.8 Into My Entire AI Operating System (Nate Herk) "AI isn't king. Everyone has access to the same AI models… Context is king." By Nate Herk (AI Automation) · YouTube, 2026 Nate Herk turns Claude Cod

Is AI Making Us Dumber? Maybe. — Charlie Gedeon (TEDxSherbrooke) Talk by Charlie Gedeon, university instructor + UX designer, on TEDxSherbrooke Street West. The thesis: AI doesn't break education — it accelerates educati

Learning Software Engineering During the Era of AI — Raymond Fu (TEDxCSTU) Talk by Raymond Fu, CSTU professor and veteran technologist, at TEDxCSTU (May 2025) on TEDx Talks. The thesis: if AI can write code, is it still

MLEvolve (Self-Evolving ML Algorithm Discovery) Caveat (autonomous ingest, 2026-06-06): the user's Telegram trigger 3236 asked to "find these papers PDF and convert into Markdown in raw folder" — a Self-Evolving Agents D

Meta-Agent Challenge (Autonomous Agent Development Benchmark) Autonomous ingest, 2026-06-06. Triggered by Telegram 3239 — Sunil sharing the arxiv link and asking to "save in my second brain." Full PDF text extracted in t

Printing Press (Nate Herk video) "Printing Press Just 10x'd Everyone's Claude Code" By Nate Herk (AI Automation) · YouTube, 2026 A walkthrough of Printing Press — a tool that gives Claude Code (and other agents) a librar

Scaling Laws for Agent Harnesses via Effective Feedback Compute Arxiv 2605.29682 (cs.CL, submitted 2026-05-28). The first paper in this vault to propose a trace-level scaling coordinate for agent harnesses — not raw toke

Sunil's Second Brain Email to IT LT (2026-06-06) The user's follow-up email to the entire P&G IT LT, two months after his original OpenClaw Personal Learnings note. Captured via Telegram (msg 3234). The email is a workin

The 10X Rule (Grant Cardone) Summary An AI-generated book-summary video (channel Famous Labs , made with their famous.ai / SuperCool tooling) walking through Grant Cardone's 2011 book. The core claim: the gap between suc

The 7 Skills You Need to Build AI Agents Summary In this IBM Technology video, presenter Bri Kopecki argues that "prompt engineer" is a badly named job title — building AI Agents that survive in production is a systems-e

The New Dumbest Chart in AI Nathaniel Whittemore on The AI Daily Brief dismantles the Wall Street panic over Citadel Securities' "tokconomics" note and the Silicon Data LLM token expenditure index . His core argument: th

The Way We Use AI is Changing Nathaniel Whittemore on The AI Daily Brief (June 11 2026). The thesis is the one this episode contributes to the vault — the Advantage Gap between AI power users and casual users is widening

What an Enterprise Context Layer Actually Is (Prukalpa) Prukalpa's June 2026 Substack essay on what an enterprise context layer actually is — and why most stacks calling themselves one don't qualify. The framing matters

What is OpenClaw (IBM Technology) Cedric Clyburn explains OpenClaw — open-source personal AI agent created late 2025, now one of the most-starred GitHub projects. Walks through the Agentic Loop (ReAct pattern), the gatew

You're Not Behind (Yet) Learn AI Agents (theMITmonk) Fourth theMITmonk video (Sandeep Swadia) in this wiki. A 13-minute primer on what makes an agent an agent (vs a prompt or a workflow), how to decide what to automate,

AlphaEvolve Google DeepMind system that designs novel algorithms . A live example of AI improving AI infrastructure — the concrete, deployed end of the Recursive Self-Improvement argument. What it did (May 2025) - Propos

Andrej Karpathy ML researcher and educator. Co-founder of OpenAI, ex-head of AI at Tesla (Autopilot), founder of Eureka Labs . Coined Vibe Coding (2025) and Software 3.0. Author of the gist that seeded this Second Brain.

Anthropic AI lab. Maker of the Claude model family and Claude Code. Internal incubator Anthropic Labs produced Claude Code, MCP, and the desktop app. [!note] Model frontier moved (June 2026) Earlier sources in this wiki

Anthropic Economic Index Anthropic's in-house research program on the economic impact of Claude usage. Multiple reports per year, plus the linked Economic Index Survey (launched April 2026). The reports are the closest f

Boris Cherny Engineer at Anthropic; creator of Claude Code. Joined Anthropic Labs (a small incubator) in late 2024; that team also produced MCP and the Anthropic desktop app. Public positions - "Coding is solved" (for th

Charlie Gedeon University instructor, entrepreneur, and UX designer. Studies how technology changes how people think and learn. Co-founder of a UX studio experimenting with AI interface patterns that resist cognitive off

Claude Code Anthropic's coding agent. Originated in Anthropic Labs (late 2024) under Boris Cherny. The agent currently maintaining this Second Brain. Origin & inflection (per Boris Cherny on Coding Is Solved (Sequoia AI

Cvent SaaS hospitality and event software company. ~5,500 employees, ~30,000 customers. Blackstone portfolio company since 2023. CIO: Pradeep Mannakkara. CISO: Ben Mayrides. Why Cvent matters in this wiki The most concre

Enrique Ibarra CIO of GNP (Grupo Nacional Provincial — Mexico's largest insurer). Ran a real ~1,000-developer pilot of the autonomous software-development platform Blitzy, reported on Autonomous Software Development with

Felix Ryberg Anthropic. Leads Claude Code and co-works on Claude desktop. Surfaced in the vault for the "third era" framing of how people use AI — questions → tasks → responsibilities — that crystallizes the Tasks to Res

Glean Enterprise "Work AI" platform — unified search and agent platform across email, Slack, Box, Salesforce, etc., with fine-grained per-user access controls preserved across data sources. The platform Cvent standardize

Grant Cardone American author, real-estate investor, sales trainer, and motivational speaker. Best known for the 10X philosophy — the claim that the difference between success and failure is one of target-setting magnitu

Higgsfield Creative-AI platform for image and video generation. Mentioned in How To Use Claude Better Than 99% Of People (theMITmonk) as the sponsor of that episode — disclosed inline. What Sandeep claims about it - "Use

Matthew Berman YouTube channel run by Matthew Berman , focused on AI news, frontier-model releases, and hands-on model reviews. Style is fast-turnaround reaction + live demos; often has early/preview access to new models

Mythos-Class Models A tier of Anthropic Claude models that sit above Opus in capability — a new generation name ( Fable ) alongside Haiku / Sonnet / Opus. Announced/launched ~ June 9, 2026 and covered here via two YouTub

Nate Herk (AI Automation) YouTube channel run by Nate Herkelman (channel's actual YouTube name is Nate Herk AI Automation ; filed here without the so wikilinks resolve by basename), focused on AI automation, agent toolin

Nathaniel Whittemore Host of The AI Daily Brief (daily AI news pod + YouTube). Operator side: founded Super Intelligent (AI enablement / readiness-audit platform; voice-agents-into-orgs to gather ground-level signal). Ru

OpenClaw Open-source personal AI agent created by Peter Steinberger in late 2025. Now one of the most-starred GitHub projects. Hub-and-spoke architecture centered on a Node.js Gateway, with adapters for Slack/iMessage/Wh

Philippines GCC Industry The Philippine Global Capability Center / IT-BPM sector — ~ 200–250K headcount in PH GCCs, ~50% in CX (customer experience), the rest split across technology and operations. Represented by IBPAP;

Praveen Akkiraju Managing Director at Insight Partners , investing across the agentic AI stack. Sees a wide cross-section of agent-native companies (e.g. Stampli, E2B) and enterprise deployments at scale. Recurring frami

Printing Press A CLI factory + CLI library for AI agents, primarily targeting Claude Code. Two halves: 1. Library — ~50 pre-built CLIs (ESPN, Flight Goat, Movie Goat, Recipe Goat, Linear, Amazon, Craigslist, eBay, TikTok

Prukalpa Author of Context & Chaos (Substack); writes on enterprise data, context engineering, and the semantic layer that AI agents need to operate inside companies. Best known publicly as co-founder of Atlan , a data c

Raymond Fu Veteran technologist, serial entrepreneur, and computer-science educator. Professor at California Science & Technology University (CSTU). Father to a CS-major daughter, which he frames as a motivating lens for

Remnote Note-taking + spaced-repetition app founded by Martin Schneider (MIT). Pitched as the operational answer to the Ebbinghaus Forgetting Curve: turn notes into flashcards in-line, schedule review at the right interv

Ryan Lopopolo Member of technical staff at OpenAI. Self-described token billionaire ( $1,000/day in output tokens). For the last nine months, has been building software exclusively with agents — has banned his team from

Sandeep Swadia Creator of the theMITmonk YouTube channel. Self-described background per his videos: "From homeless to MIT grad, then CEO / board member / investor in technology companies worth billions" and "advising AI

ServiceNow Enterprise workflow-software company (NYSE: NOW ), led by chairman/CEO Bill McDermott ( @BillRMcDermott on X; contract extended through 2030). Single platform spanning ITSM / ITOM / HR / CSM, monetised histori

Simon Scrapes YouTube channel focused on building reliable Claude Code skills for business workflows (marketing, copywriting, ops). Practitioner-heavy: each video typically ends with a worked example and a packaged comme

Steven Brovich Amazon since August 1999 (~27 years). First half of career on the technology side; second half on people and culture ( "organisational culture is one of the primary reasons organisations are successful bey