Toronto, CanadaAI Builder × Storyteller

LissetteGorrin Rodriguez

A mind in motion

I build the idea.
Then make clear what it can do and why it matters.

Don’t just scroll. Ask.Profile guide

Instant answers from verified profile notesText only · private by design

02 / Selected work

Curiosity.
Made tangible.

Each project begins with a question about how AI behaves in practice. The question becomes a prototype, a body of evidence, and a story someone else can inspect.

Selected case / 01Gradensal Lab · 2026

Agent observability / Inspectable execution

Agent Flight
Recorder

The answer is not the whole story.

Released prototype

An agent-observability prototype that records the sequence behind an AI agent’s work so its behaviour can be inspected—not only its final answer.

The question

A final answer can appear correct even when the process behind it is suspicious, inefficient, or unsafe. Evaluating only the output can conceal the behaviour that produced it.

Ask about the thinking Inspect the source

Evidence, not theatre

01
Records agent activity as an inspectable JSONL trace
02
Includes normal and suspicious-behaviour scenarios
03
Separates execution evidence from final-answer quality
04
Documented for clean-clone reproducibility

03 / Gradensal Lab

Where I learn
by building.

Focused experiments for understanding how AI systems behave, where trust breaks down, and what evidence people need before delegating meaningful work.

GL-001Released prototype

Gradensal Lab / 2026

Agent Flight Recorder

The answer is not the whole story.

An agent-observability prototype that records the sequence behind an AI agent’s work so its behaviour can be inspected—not only its final answer.

4documented evidence points

Python
Streamlit
JSONL
Agent observability
Optional OpenAI API

Explore in conversation GitHub

GL-002Released prototype

Gradensal Lab / 2026

Agent Intent Receipt

Make delegated authority visible.

A policy-evaluation prototype that checks a proposed agent purchase against explicit authorization and produces an inspectable intent receipt.

4documented evidence points

Python
Pydantic
Pytest
JSON
Agentic commerce
Policy evaluation

Explore in conversation GitHub

04 / Deeper systems

Gradensal
Signature Builds

Deeper builds for real problems.

Signature Builds take a real business or technology problem and design a credible system around it: architecture, implementation, reasoning, evidence, and narrative included.

Working prototype · 2026

GSB-002

Not every workflow needs more AI.

Marketing AI Workflow Architect

A decision-support system that evaluates marketing work and recommends deterministic automation, LLM-assisted work, or an agentic workflow.

Assessment model

Defines the work, variability, risk, evidence requirements, and decision conditions.

Decision engine

Recommends deterministic automation, LLM assistance, or an agentic workflow through inspectable rules.

Explanation layer

Turns the recommendation into a clear rationale while keeping optional AI separate from the underlying decision.

Built evidence

Distinguishes three automation operating models
Explains the reasoning behind each recommendation
Keeps optional AI explanations separate from the decision engine
Verified by a 26-test automated suite

05 / THE HUMAN LAYER

Beyond thesystem.

The most interesting technology is never only about technology. It is about what people can understand, decide, and create with it.

POINT OF VIEW

“I’m interested in the space between a complex idea and the moment another person finally sees what it can do.”

That space is where systems thinking, communication, curiosity, and useful design meet.

Builder

I turn ambiguity into working systems—testing ideas through architecture, prototypes, and evidence.

Storyteller

I make technical ideas understandable without removing the complexity that makes them meaningful.

Entrepreneur

I explore where useful ideas can become credible products, stronger decisions, and better ways of working.

06 / LET’S TALK

Bring me thecomplex idea.

The work I want to do lives where emerging technology, human understanding, and meaningful direction meet.

If you are building something ambitious—or trying to make something complicated finally make sense—I would like to hear about it.

CURRENT DIRECTION

AI systems · Technical storytelling · Product thinking · Intelligent automation

LissetteGorrin Rodriguez

I build the idea.
Then make clear what it can do and why it matters.

Lissette, in conversation.

Follow your curiosity.

Curiosity.
Made tangible.

Agent Flight
Recorder

Where I learn
by building.

Agent Flight Recorder

Agent Intent Receipt

Gradensal
Signature Builds

Marketing AI Workflow Architect

Assessment model

Decision engine

Explanation layer

Beyond thesystem.

Builder

Storyteller

Entrepreneur

Bring me thecomplex idea.

LissetteGorrin Rodriguez

I build the idea.Then make clear what it can do and why it matters.

Follow your curiosity.

Agent FlightRecorder

Agent Flight Recorder

Agent Intent Receipt

GradensalSignature Builds

Marketing AI Workflow Architect

Assessment model

Decision engine

Explanation layer

Builder

Storyteller

Entrepreneur

I build the idea.
Then make clear what it can do and why it matters.

Agent Flight
Recorder

Gradensal
Signature Builds