Opens in a new tab

Enterprise AI enablement · Product builder

I build systems for work that needs human judgment.

I’m Russ Vance. I work like a forward-deployed engineer inside the enterprise: start with the problem, help people use AI confidently, and build the workflows and applications that make sales, marketing, communications, and design work better.

PRODUCT FIELD / 2026 How the work moves
  1. 01
    Find the frictionWhere quality, time, or confidence breaks down.
  2. 02
    Shape the interventionTeach, enable, automate—or combine all three.
  3. 03
    Ship the whole loopInterface, intelligence, review, and operations.
  4. 04
    Learn in the workUse real behaviour to make the system better.
PROBLEM FIRST

[ Selected work · 01—07 ]

Products built around a point of view.

Each one starts with a specific friction—not a model looking for somewhere to land.

Protagons homepage introducing its open AI character identity standard
Open standard Character infrastructure
02Character infrastructureLive

Protagons

Portable character identity for any AI model.

An open standard that replaces vague persona prompts with structured character files: 28 linguistic dimensions, 287 fields, and a public library of 865+ profiles.

  • Open schema
  • Character compiler
  • Model portability
Visit Protagons
Sales Practice library showing AI buyer personas ready for rehearsal
Live product Buyer persona library
03Simulation & coachingIn use

Sales Practice

A rehearsal room for conversations that matter.

Realistic AI buyer personas for browser and phone practice, with live coaching, transcripts, and competency scorecards that turn every attempt into a learning loop.

  • Realtime voice
  • Scenario generation
  • Evaluation
View Sales Practice
PDF Hound sample report explaining a document accessibility grade and guided review
Live sample report Findings in plain language
04Document accessibilityLive

PDF Hound

PDF accessibility, finally explained like a product.

A self-serve audit and repair workflow that makes hidden document barriers visible in plain language, shows the reading sequence, prices the work upfront, and keeps review in the customer’s hands.

  • Automated audit
  • AI-assisted repair
  • Evidence & review
Visit PDF Hound
You Suck at Writing homepage offering a 14-agent editorial critique
Live product Editorial critique
05AI editorial critiqueLive

You Suck at Writing

Fourteen editorial perspectives. One useful verdict.

A productized critique service that runs 14 AI specialists in parallel, then synthesizes their evidence into a practical editorial report in about three minutes. Users choose professional Editorial Mode or a sharper Roast Mode—each report is $5, with no subscription.

  • Parallel specialist review
  • Evidence-backed feedback
  • Two critique modes
Visit You Suck at Writing
Sitular autonomous workspace with a strategy brief and three specialist agents ready to collaborate
Live orchestration Specialists in action
06Multi-agent collaborationPrivate prototype

Sitular

Build a room of specialists around the problem.

A configurable swarm workspace where specialist agents collaborate in user-directed or autonomous mode, grounded in shared files, with reusable task templates and live token and cost visibility.

  • Agent rosters
  • Corpus grounding
  • Autonomous mode
Contact me for a demo
Concept visualization of voice fragments becoming research connections and a cited article
Concept visualization Voice → research → evidence
07Research & writingPrivate prototype

Thought Stream

From stream of consciousness to grounded point of view.

A voice-enabled writing flow that researches a raw narrative, synthesizes it into a thought-leadership draft, and links claims to fresh, verifiable sources.

  • Voice capture
  • Search grounding
  • Inline citations
Contact me for a demo

[ Enterprise AI · 08 ]

Put AI where the work happens.

Embedded enablement, education, and application building for teams solving real business problems.

CAAT Design System component library showing foundations and system metrics
08CAAT Pension PlanIn progress

AI enablement · Product delivery · Design systems

A forward-deployed builder for enterprise AI.

At CAAT, I start with the business problem—not the model. I work alongside teams in sales enablement, marketing, communications, and design to identify where AI can improve quality, remove friction, or deliver a better service sooner. Then I teach, enable, or build—whatever moves the work forward.

PUBLIC WORKSTREAM

CAAT Design System

One visible part of that work: accessible foundations, reusable components, and agent-readable guidance that give people and AI-assisted workflows the same shared language for quality.

41Components
3Templates
16Colour tokens
14Contract sections
01

Teach the practice

Practical, approachable AI education—including how employees can use ChatGPT with Excel and in everyday knowledge work.

02

Enable the builders

Help employees create, evaluate, and adopt custom GPTs for their own workflows—not just consume tools built somewhere else.

03

Build where it matters

Develop custom applications for sales enablement, communications, and the design practice, with quality and human review built in.

THE OPERATING QUESTION

“Can AI make this better, improve the quality, or help us provide the service sooner?”

How I work

Start with the problem, not the prompt.

AI is useful when it improves an outcome—not when it merely adds another tool.

  1. 01

    Find the real friction

    Listen for where people improvise, repeat themselves, or lose confidence.

  2. 02

    Ask where AI helps

    Look for a real gain in quality, speed, confidence, capacity, or service.

  3. 03

    Teach, enable, or build

    Choose the lightest intervention that lets the team do better work sustainably.

  4. 04

    Ship the whole loop

    Connect interface, intelligence, human review, operations, and feedback.

About Russ

I’m interested in AI when it becomes a better way to do the work—not a better way to demo the model.

Russ Vance smiling in front of a whiteboard
Russ VanceToronto · builder, teacher, enabler

I’m a Toronto-based digital experience leader, AI enablement champion, and hands-on product builder. I came to engineering through design, content, product, and innovation—not through a traditional computer-science path.

Over the last three years, my work has become increasingly engineering-led. I operate like a forward-deployed engineer: embedded with the people doing the work, translating business friction into something teachable, configurable, or buildable. At CAAT, that currently means AI-enabled sales and marketing work in the pension industry—not engineering pension systems.

Enterprise AI enablementAI educationCustom GPT systems Rapid application developmentSales enablementMarketing & communications Product strategyDesign systems

[ Career journey ]

Built from the interface up.

More than two decades moving from making digital experiences to shaping the systems, products, and teams behind them.

2024Now

CAAT Pension Plan

Manager, Pension Solutions Digital Experience

Progressed from Team Lead, Digital Marketing to Senior Digital Experience Specialist and now Manager—championing practical AI adoption, building custom applications, and advancing sales enablement, marketing, communications, and design practice.

  • Digital experience
  • Human-centered AI
  • Design systems
20132023

OMERS

From communications to innovation and product ownership.

A decade spanning Digital Communications Specialist, Design Lead for Innovation, and Product Owner for Pension Products & Technology—connecting content, service design, accessibility, and platform delivery.

  • Product ownership
  • Service design
  • WCAG
20022012

Digital foundations

Designer, developer, and producer.

Started hands-on in digital design and web development, then grew into digital production roles across Toronto and New York. That maker’s perspective still shapes how I lead and build today.

  • Digital design
  • Web development
  • Production
Full experience on LinkedIn

Have a difficult problem?

Let’s make it useful.

I’m interested in enterprise problems where AI might improve quality, accelerate service, or give a team new capacity—and where someone needs to turn that possibility into practice.

Start a conversation