Work — Gabriela Reyn | AI Operations Strategist

Philosophy

AI should give people their work back.

Research and implementation leverage multiple AI systems selected for their strengths, with findings verified before recommendations are made.

Visibility before automation.

You can’t optimize what you can’t see. Every engagement starts by mapping the operation as it actually runs.

Augment people. Don’t replace them.

When systems absorb the repetitive load, roles get elevated — and nothing consequential moves without a human decision.

Founder overload is a systems problem.

When every decision routes through one person, the business runs on memory and stamina. The fix is architecture, not longer hours.

Sustainable beats impressive.

Most AI projects fail at adoption, not capability. Systems are shaped around how teams already work, then normalized into habit.

How the Work Gets Made

Multiple AI systems. One accountable operator.

Claude, ChatGPT and Gemini cross-check each other; Hermes — an autonomous research agent — runs persistent background research. Nothing ships on model output alone.

Discovery

The problem as the operator lives it.

Research

Frontier models plus autonomous agents.

Compare

Claims cross-checked and evidence-labeled.

Prototype

Small diffs, version control, approval gates.

Validate

Realistic scenarios, human review.

Deploy

Logged, monitored, accountable.

Projects & Platforms

Systems designed, built and running.

From the operating platform behind Make It Reyn itself to platforms serving trades and wellness businesses.

Runs Make It Reyn daily

REYN BOS™ — Operational Intelligence Platform

One operating layer for an owner-led business: speak an ordinary instruction and the system connects the right records and moves approved work forward. It runs Make It Reyn’s own operation every day.

CRM & pipeline
AI assistance
Knowledge management
Voice interface
Workflow automation
Business memory
Operational dashboards

REYN BOS dashboard, demo environment — a daily written brief summarizing cash position, booked revenue and pipeline value, above a ranked follow-up queue with one-tap open, email, WhatsApp and call actions. — The morning brief and ranked follow-up queue — demo environment. All names and figures shown are fictional, for demonstration purposes only.

Live demo — leadstojobs.ca

Lead to Job™ — Trades & Service Operations

One flow from lead to job: photo-based estimating priced deterministically from the owner’s own rate card — not AI-guessed — with every send behind an owner approval gate.

Lead capture
Estimating
Job management
AI assistance
Follow-up
Customer communication
Workflow automation

Lead to Job demo site for a fictional landscaping business — headline 'See your yard's future. Price included.' with a free photo-estimate call to action and an embedded voice assistant. — Customer-facing demo site — fictional business, Lead to Job OS by Make It Reyn.

Customer view — photo-based estimate: uploaded yard photos, a design concept, and an auto-computed quote range from the owner's rate card with a step-by-step trail of how the estimate was produced. — Customer: photos in, priced estimate out.

Owner view — mobile operations app showing a photo estimate awaiting approval with Approve & send and Review actions, plus Today, Estimates, Pipeline and Money tabs. Demo environment, fictional data. — Owner: nothing sends without approval.

See the live demo — leadstojobs.ca

In live use

Wellness Operations Platform™

An operational workflow platform for appointment-based businesses, running in a real operation — built so the system elevates the person at the front of the house rather than replacing them.

Scheduling
Shift coordination
Notifications
Communication
AI assistance
Workflow automation
Operational visibility

Wellness operations dashboard — today's take, bookings still to come, deposits held and shifts filled, above a live floor view of staff schedules and bookings. — Every booking, every dollar, one screen — demo environment. All names and figures shown are fictional, for demonstration purposes only.

In client delivery

AI Operational Assessment Framework™

The methodology behind every engagement — a structured diagnostic producing a prioritized, owner-readable roadmap before any technology is recommended. The highest-value findings are usually operational, not technological.

Discovery
Workflow mapping
Bottleneck identification
AI opportunity analysis
Implementation roadmap

Three curricula complete

AI Education

Three curricula designed and ready: AI Chief of Staff for small business teams, AI Essentials for Teens for youth AI literacy (no coding), and AI-Ready Business for Newcomer Entrepreneurs — a practical three-session workshop series pairing financial capability with machine judgment.

Small business teams
Newcomer entrepreneurs
Youth AI literacy

In client delivery

Business Intelligence Layer

The knowledge a business runs on — decisions, processes, client history, institutional memory — captured as a structured, connected system instead of living in people’s heads. Organized so the team can find it and AI systems can reason over it.

Knowledge architecture
Connected records & context
Institutional memory
AI-readable structure

In production

Hermes Research Agent

A persistent background research and enrichment agent on dedicated infrastructure, running scheduled tasks with memory that compounds across sessions — feeding verified context into the research workflow above.

Background research
Contact & market enrichment
Scheduled tasks
Compounding memory

Strategic Advisory

Research-led strategy, delivered.

Engagements run under NDA; identities appear only where clients approved publication. No unverifiable results are claimed. Where clients are eligible, engagements also identify small-business funding and grant programs — a path Gabriela has navigated herself as a York Region grant recipient.

Assessment delivered

Operational Assessment — Multi-Provider Family Care Clinic, Ontario

Problem

Operational knowledge concentrated in a few people, a heavily loaded front desk, and an owner carrying decisions a system should carry — in a practice that could not risk disrupting patient care.

Approach

Structured discovery with ownership and staff, workflow mapping, bottleneck identification, and AI opportunities scored for effort against impact — delivered as a written Key Findings report presented to the owner.

Status

Assessment complete; implementation scoped separately, at the client’s pace.

Lessons

The recommendation that landed hardest required no new software — it made existing work visible. AI opportunities were sequenced last, after the workflow foundations they depend on.

Redacted excerpt — Key Findings deliverable

Delivered — three engagements

Strategy Series — Three Women-Led Practices

Problem

Two founders in transition — an author becoming an integration coach and a high-conflict mediator — needed go-to-market architecture: positioning, audience, offer, path to revenue. The third, an established interior design practice, wanted to see what AI and today’s technology make possible for a business already succeeding.

Approach

AI-assisted buyer and market research translated into positioning, offer architecture, and a sequenced plan each founder could execute herself — and, for the established practice, a working demonstration of the opportunities AI opens beyond how the business runs today.

Status

All three delivered. One client’s testimonial appears below and on this site’s home page.

Why it matters

Three industries, one repeatable method: research rigorously, position honestly, and build the offer around the service the founder actually wants to give her community.

Technology

The working stack, by capability.

Everything below is used in real work. Infrastructure specifics are documented per project and shared in engagement contexts.

Model layer

ClaudeChatGPTGeminiOpen-weight research modelsVersion pinning & evaluation

Agentic layer

Autonomous agentsCLI-based coding agentsHermes research agentMulti-agent orchestrationConversational voice AI

Infrastructure & automation

Version control & collaborative reposServerless & edge deploymentManaged databasesServerless GPU computeWorkflow orchestrationStructured logging & observability

Building in Public

An engineering notebook, not a highlight reel.

What building these systems actually taught — including the mistakes.

July 2026

Evidence classes for AI output

Every material claim in client work now carries an evidence label: directly verified, corroborated, secondary source, inference, hypothesis, or unverified. A confident tone is not allowed to upgrade a claim’s class. It slows drafting slightly and speeds trust enormously — this page was written under the same standard.

July 2026

Designing against silent failure

The scariest automation failure is the one nobody notices. REYN BOS’s orchestration layer forced a three-layer answer: node-level retries with idempotency safeguards, a global error trigger that alerts a human, and structured logging for every run. Model version pinning became non-negotiable after an unpinned upgrade quietly changed behaviour.

June 2026

Complexity is a conversion tax

The first, simplest version of this website converted visitors into meetings. Each rebuild that added polish performed worse. The lesson generalized: in operational systems, every added component is a place to fail and a thing to maintain. Surgical edits over rewrites — earn every addition.

June 2026

Verify before you recommend

Early on, a handful of tools were recommended to a client as free that turned out not to be. The fix became protocol: no tool recommended without checking current pricing and capability; no statistic without a verifiable source. Credibility compounds — so does its opposite.

Professional Development

Trained deliberately.

AnthropicIndustry RockstarTony RobbinsSummit of GreatnessHealingFest

Anthropic — Claude 101 · AI Fluency for Small Businesses. Completed 2026.

Industry Rockstar — AI Consultant, AI Implementation Specialist, and AI & Data Science certifications; ARCHITECT-level training. Arizona mastermind, May 2026: strategy sessions, on-stage interview and workshop alongside co-founder Kane Minkus.

Foundations — Business administration graduate; certifications in life coaching, personal training and Pilates instruction. HealingFest with Dr. Donald Epstein (2026), Summit of Greatness (2024), Tony Robbins’ Unleash the Power Within (2023) — a decade of study in how people actually change, which is most of what AI adoption is.

Trajectory

A progression of systems thinking.

01 The operator years

Fifteen-plus years in sales leadership and B2B partnerships inside service businesses — living the operational problems this work now solves.

02 Founding Make It Reyn

Capable owners were drowning in operational friction everywhere. Make It Reyn was founded to fix the system, not sell the tool.

03 Method & agents

The R.E.Y.N. Method™ formalized; an internal five-agent AI team built with verify-first protocols, drift detection, and a constitutional truth-and-provenance standard.

04 Platforms

From services to systems: REYN BOS™ running the business daily; Lead to Job™ live at leadstojobs.ca; the wellness platform in live use.

05 Research & education

Hermes in production, evaluation practices maturing, three curricula developed — the work turning outward.

Guiding Principles

Five rules the work is held to.

01

Operational understanding precedes automation.

02

AI augments judgment — it does not replace it.

03

Systems exist to reduce cognitive load.

04

Evidence over assumption, in every claim.

05

Build technology people actually adopt.

Current Focus

Actively building and learning, right now.

Not aspirations — a live snapshot, updated as the work moves.

Hardening REYN BOS™

Silent-failure prevention, memory architecture, and agent guardrails as the platform scales.

Lead to Job™ iteration

Refining the public photo-to-estimate demo and its owner approval flow with real trades feedback.

Wellness platform in production

Running and instrumenting the live deployment — measuring what adoption looks like at the front desk.

AI adoption for small businesses

Turning assessment findings into repeatable adoption patterns for owner-led teams.

Curriculum development

Three developed curricula — small business, public sector, youth — moving toward delivery.

Evaluation & safety practice

Evidence-class labeling, scenario testing, and autonomous-agent guardrails at small-business scale.

Client Words

In their words.

“The experience was energising from start to finish — and beyond. Her data and research were incredibly thorough, and she helped me open my mind to bigger and better business opportunities I hadn’t considered before. Moving onward and upward with a fresh perspective and real confidence in what’s ahead.”

Tanya Clements

Interior Designer · tanyac.ca

More client outcomes will be published as engagements complete and clients approve sharing.

Building AI systems that give people their time back.

For organizations working through operational modernization — and teams who want a builder who diagnoses before prescribing.

Book a Strategy Call

Watch the demos · hello@reyn.ca

Book a strategy call: calendar.app.google/8rdGWqRfFWq9zqqA6 · hello@reyn.ca · reyn.ca/work