AI that earns its place in your business.Bring Albert to your next workshop

ALBERT YANG / BUSINESS OPTIMIZATION STRATEGIST

Better decisions.A strongerbusiness.

I’m Albert Yang. I help people and organizations put AI to work, make clearer decisions, and improve how their businesses operate.

Creator of the 64-4 framework / Principal at CoreCut4

The right engagement.
For the challenge in front of you.

Practical learning for a room. Individual advice for a decision. Operational improvement for a company or department.

A client’s perspective

“Albert has been incredibly helpful in teaching me about AI. He really knows his stuff and has a gift for making technical concepts clear and approachable. Just as importantly, he’s genuinely kind and a pleasure to work with. If you want to learn from someone who’s both knowledgeable and easy to talk to, I highly recommend him.”

Larry

Hire Albert for a Speaking Engagement

Hire your first
AI employee.

A hands-on AI productivity workshop for real estate agents, brokers, and business professionals. Bring your laptop. Learn to give a virtual AI assistant real work. Leave able to repeat at least one useful workflow.

Bring Your Laptop. Leave With a Virtual AI Assistant.

Give AI a useful job. Check the result. Make the workflow yours. Practice finding follow-ups, drafting from property facts, and turning unfinished work into a plan you can repeat.

Presented by Albert Yang Business Optimization Strategist Intense Results LLC

A practical skills session

Less busywork.
More possibility.

Email, follow-up, marketing prep, and repetitive administration can hide important work. The workshop gives participants a practical way to delegate discovery and drafting to AI while keeping people responsible for permissions and decisions.

01

Conquer your inbox

Find important contacts, conversations, and unfinished business in a safe exercise.

02

Surface follow-ups

Identify commitments, missing responses, owners, and next actions for human review.

03

Draft marketing

Create listing and client communication drafts from supplied property facts.

04

Build a morning brief

Turn sample tasks and appointments into a prioritized action plan.

Workshop agenda & hosting details

The 150-minute program

Learn it, try it, verify it.

The main workshop is 120 minutes: a short opening, then guided demonstrations and practice. Q&A and networking follow as a separate 30-minute block.

  1. 20 minThink differently about AISpot steps that can be removed; delegate outcomes rather than a chain of microtasks.
  2. 20 minMake a first assignmentTurn fictional emails into evidence-backed draft tasks.
  3. 30 minAudit a sample inboxFind unresolved commitments and distinguish them from completed threads.
  4. 20 minDraft marketing from source factsPractice checking claims against fictional property materials.
  5. 20 minCreate a morning briefingPrioritize sample work and learn to reuse the assignment.
  6. 10 minGraduation checkGive one new assignment, verify the result, and choose a next task.
  7. 30 minQ&A and networkingQuestions, use-case conversations, and optional discussion of separate needs.

For organizers

A clear, shared-cost event

The organizer coordinates the venue, projector, reliable Wi-Fi, seating and power, invitations, registration, and attendee communication. The organizer sets the invitation policy and event price. The speaker fee is a flat $2,000 regardless of how many people attend; any travel outside the agreed local area or custom development is quoted separately.

For illustration, dividing the fee evenly is $100 each at 20 participants, about $66.67 at 30, and $50 at 40. The 60-person example uses $34 per attendee and raises $2,040 before other costs. Invite as many people as the venue can safely accommodate, with practical classroom support. Albert does not impose an attendance cap or charge more for a bigger group.

For attendees

Bring a laptop and curiosity

Participants practice with safe fictional examples and take-home prompts. Bring a charged laptop and arrange any required account in advance when event details are confirmed. No programming or specialized AI hardware is required.

AI subscriptions or usage charges, if required, are separate and paid directly to the vendor. Availability, pricing, trials, and platform support depend on current vendor terms. Do not bring real client data to the exercises.

Practical, with human review. Participants learn to grant minimum necessary access, inspect sources, flag uncertainty, and verify outputs. The workshop does not promise a specific amount of time saved, a full live-inbox audit for everyone, individual setup, CRM repair, custom integrations, or ongoing support. Follow your brokerage and company policies for AI and data.

Bring your team together

Host a hands-on AI workshop.

Dates, location, registration, and event-specific attendee pricing are arranged with the host. Optional host branding can be added to event-specific materials with approval.

Hire Albert for a speaking engagement
Download the organizer brief

One-on-one consulting

A clearer next step.
For your business.

A focused engagement with Albert, shaped around the question you need to answer. Bring an AI opportunity, a recurring workflow problem, or a business decision that needs perspective.

Start with what is getting in the way.

You bring the context, goals, and constraints. Albert helps you examine the options, understand the trade-offs, and identify a useful next step.

The scope, format, and fee are agreed after an initial discussion. For improvement across a company or department, explore the CoreCut4 engagement.

Questions we can work through

  • Where AI could help your business
  • How to simplify recurring work
  • Which tools and workflows fit
  • What deserves your attention next

Company & department optimization

A stronger organization.
Through CoreCut4.

For a whole company or a single department, the CoreCut4 method examines the constraints, capabilities, and recurring work that shape performance. The engagement focuses on operational priorities and practical improvements, with scope agreed around your organization.

Limiting Reagent

The scarce input that caps the value your people, data, systems, or AI investment can produce.

What runs out first?

Keystone Function

The workflow, decision, or capability whose improvement multiplies performance across everything around it.

What holds everything up?

Echo Drag

Recurring friction inherited from old decisions, legacy systems, duplicate processes, and workarounds.

What are you still paying for that you no longer chose?

Dust Layer

AI theater, unused output, low-value reporting, and busywork that creates motion without changing the result.

What makes you busy but not better?

Cut two to recover capacity — sunset Echo Drag, stop Dust Layer. Feed two to compound advantage — Limiting Reagent, Keystone Function.
7,507lines of MIT-licensed filesystem, 100% AI-authored, human-governed
310crash-injection trials with zero corruption across USB, SD, and NVMe
31,102verses published as open, ordinal-indexed flat files and offline SQLite
7independent AI models used adversarially to audit finished code

Selected work

Work you can inspect.

Every engagement I take is informed by systems I actually finished. These are public, inspectable, and documented — including the parts that were hard.

Systems · Filesystem

Slim64FS

Architect and governance author · AI-authored implementation

A modern filesystem for removable flash, built by cutting every feature a general-purpose filesystem carries that an SD card never needed — then verifying what remained until it could not reasonably be doubted.

  • Five invariants govern every write: race-to-idle, fill-or-kill, ordered commit, CRC32C only, no data journaling
  • A human architect set the constraints; AI implemented narrowly against them
  • Seven independent AI models audited the finished code adversarially
  • 310 crash-injection trials and 17/17 xfstests MUST_PASS — reproducible and unredacted

Design decisions were forced through named, demanding users — a wildlife photographer shooting 7,500 frames a day, a videographer recording 8K sustained, and a deliberately hostile kernel reviewer who accepted no claim without a log.

AI pipeline · Language

GOI Bible

Pipeline design, verification model, and publishing system

Traditional Bible translation is a multi-year, sequential process gated by scarce expert time. GOI Bible treats it as software: translate the smallest verifiable unit, check it independently, route human judgment only where the checks raise a flag, and make the whole run repeatable.

  • AI drafts one verse at a time from tagged Hebrew and Greek source text
  • Independent checks test nouns, clauses, negations, and numbers
  • Flags route scarce human review to exactly the places that need it
  • Versioned and auditable — a correction re-runs the pipeline instead of restarting the project

Published in English, Simplified Chinese, and Traditional Chinese, with a full offline SQLite distribution and a global verse ordinal for programmatic use.

Framework · Consulting

64-4 and CoreCut4

Author of the framework · Principal of the consulting practice

Pareto says 20% of inputs create 80% of results. 64-4 takes it one level deeper: roughly 20% of the important 20% produces about 64% of the total result. The goal is never to do more — it is to find the few decisions, constraints, advantages, and points of friction that disproportionately control the outcome.

CoreCut4 is the consulting arm: the same four lenses applied to real AI, operations, and systems problems, turned into workflows, tools, and decisions a leadership team can act on.

Architecture · Governed AI

ChainEngine

Contract design and event-sourced architecture

A working answer to the question every regulated industry asks about AI: how do you use a language model against a system of record without ever letting it touch the record?

  • Human narrative is semantically compiled into a strict, versioned ingest contract
  • AI never writes SQL and holds no mutation authority — it proposes, it does not commit
  • Human approval gates every database write; approved events append immutably
  • Replay reconstructs truth from the event log; every view is a projection, never authoritative
  • Ambiguity and conservation failures surface before approval, not after

Fifteen explicit contracts, an ontology registry, and an audit stream — built as a deliberately small prototype in PHP and SQLite to prove the governance model rather than the tech stack.

Where I stand on AI

AI writes the code. A human owns the result.

"Even AI said this filesystem couldn't be trusted." Then it was built, audited by seven models, and crash-tested 310 times without a single corruption.

I am not interested in whether AI can produce plausible output. It can. I am interested in what makes the output defensible: stated constraints, narrow implementation against them, adversarial independent review, and evidence published unredacted — including the failures.

That means AI does not get authority it hasn't earned. In ChainEngine it never touches the database. In Slim64FS it wrote every line but changed nothing the invariants forbade. In GOI Bible it drafts, and independent checks decide what a human has to look at.

The honest version of "AI-built" states its provenance and shows its logs. That is the standard I hold my own work to, and the standard I help clients set for theirs.

Work with Albert

Let’s move your
business forward.

Tell me which engagement interests you and what you would like to accomplish. For a speaking event, include your organization, location, and preferred dates. For consulting, describe the decision or operating challenge.

Opens your email client addressed to albert@albertyang.net with the details filled in. Prefer to write directly? albert@albertyang.net