Jessica Ho, Product Manager, Truth Graph & Consumer Surfaces at Product.ai
Product Manager

Jessica Ho

Truth Graph · AI Systems · Consumer Surfaces

Designs the verified-intelligence layer behind Product.ai — and the consumer + agent surfaces on top of it. Built the end-to-end forging system that turns the CEO’s research protocol into a verified e-commerce Truth Graph; now building the public Truth Graph.

The communications-trained generalist who walked the non-linear path — agency, copywriting, content marketing, then product — and became the operator who turns the CEO’s research protocol into the systems a team ships on. Zero-to-one, then hand it off.

LinkedIn → Try Product.ai →
Tenure
Founding era · Truth Graph + consumer surfaces
Based
Los Angeles, CA
Owns
Truth Graph publishing · consumer + agent surfaces
Studied
USC Annenberg · BA Communication
0→1
Took Product.ai’s verification engine from research to shipped product
8,000+
Source-traced facts behind Product.ai’s answers
8
Specialties developed — SEO, PMM, PM, product building, content, community, AI-driven dev, company ops
49
Product categories taken to production depth
About

Works at the design layer of an AI-run company — bounds the problem, designs the system, and builds it with the machine.

8,000+
verified facts forged
49
categories at production depth
8
specialties developed
0→1
research to shipped product
The range

01 · Pipeline discipline

Protocol Design

Authored five protocols now in active production use — research distillation, forging, quality gates, promotion. The connective tissue the pipeline runs on.

02 · Pipeline discipline

Knowledge Architecture

Designed the layered Truth Graph architecture and authored its foundational physics layer. 8,000+ verified facts forged across 49 product categories.

03 · Consumer surfaces

Consumer & Agent Surfaces

Works hands-on across Product.ai’s live public prototypes — chat, web, extension, and the agent layer — where people meet the verified answers. Shaped by direct immersion, not a feature list.

04 · Consumer surfaces

Evaluation Methodology

Built the qualitative evaluation surface — verification rubrics, a failure taxonomy, readiness gates — and co-designs the quantitative layer with engineering.

05 · Off the matrix

Pipeline Orchestration

Built the full forge pipeline end-to-end, then industrialized it so it runs in the background. Shifted herself from operator to overseer.

06 · Off the matrix

Live Human Sensing

In the room with the community, reading the source material the system only ingests mechanically. The function the small-team thesis quietly depends on.

Marquee stops

From copywriter to content to the design layer of an AI-run company.

2025 → Now · Product.ai
Product.ai
Product Manager, Truth Graph & Consumer Surfaces
Joined as a messaging-and-product hybrid and grew into ownership of the consumer side of the company’s first launch — and now the public Truth Graph. Took the CEO’s research protocol and built it into a full end-to-end forging system; designed the layered Truth Graph architecture and authored the protocols now in active use. Works hands-on across the live consumer + agent prototypes on product.ai, and industrialized the forging pipeline so it runs in the background. The CEO’s pattern: put her on whatever is most at-risk.
Research protocol → Truth Graph
Before Product.ai
~2022 · CREXi
CREXi — commercial real estate marketplace
Content Marketing Associate
B2B content for the commercial real estate marketplace — market trends, analysis, new-technology coverage. The discipline of writing for an audience that punishes vagueness.
B2B content at marketplace scale
Earlier · Evercast
Evercast — film/TV collaboration software
Copywriter
Content for the real-time collaboration platform used in film and TV post-production. Translating a technical product — synced video review for distributed editors — into language a creative-team buyer would act on.
Technical product → creative buyer
Earlier · Wicked+
Wicked+ — creative marketing agency
Marketing Assistant
Creative agency across real estate, hospitality, and lifestyle accounts — client copy, PR support, and the multi-account operations that teach you to context-switch without dropping the thread.
Multi-account agency operations
Studied · USC Annenberg
University of Southern California
BA Communication · Annenberg School
The discipline of how meaning moves between people. That instinct now runs the consumer-side substrate for an AI product where the upstream question is what is the user actually being told, and does it survive scrutiny?
Communication foundation
The thesis

Why verified truth on the open web is the product.

The competitive question facing Product.ai is structural, not stylistic. Generic AI models already write fluent product comparisons. The reason a user trusts Product.ai over a generic chatbot is not better prose — it’s that every answer is grounded in verified, source-traced facts they can check.

The public Truth Graph is how that reaches the world: the verified-knowledge engine, published as pages people and agents find when they search — so the research happens where the demand already is, grounded in something specific and transparent rather than a confident guess.

The same discipline separates engineering proof from user evidence. An engineering surface tests a hypothesis; the community is the evidence. Jessica is the operator who refuses to let those two get confused.

The reason a user trusts us over a generic chatbot isn’t better prose — it’s that every answer is grounded in verified facts they can check. Jessica, on what makes verified truth the product
Operating code

Five principles that show up across her shipping, her briefs, and her protocol design.

01 Stance

Drive forward, not through the rearview mirror.

Every recommendation derives from a first-principles read of this specific reality — the product, the moment, the people in the room — not from analogy to how things were done before.

“Reject the imported constraints of legacy work idioms. Real constraints have to earn their way in.”

02 Method

Lead through questions.

When something is fuzzy, the instinct isn’t to assert — it’s to ask the question that forces the room to be precise. “What signal do we actually need from this session?”

“I’d rather hear ‘this is wrong’ than ‘have you considered.’ Diplomatic framing, never diplomatic dilution.”

03 Discipline

Engineering-artisan stance.

Build the scaffolding that gets to user value — not architecture for its own sake. The simplest shape that makes the value real, as a counterweight to her own design-vanity failure mode.

“The only thing that matters in the end is whether the user would be devastated to lose this.”

04 AI posture

Active context discipline.

Know the work yourself before delegating it. Challenge the AI when it’s missing context, skipping steps, or making hasty calls — the practice that counters work that only performs being done.

“Counterbalance every decision toward principle over heuristic. Verify it’s done, not just performed as done.”

05 Through-line

Systems over heroics.

Build pipelines, not one-off deliverables. Spend a week on the infrastructure that turns operating into reviewing — then get that week back every week after.

“Ship something people love. Measurably so.”

What she’s built

A PM whose deliverables are shipped surfaces and the protocols a team runs on.

Her output is the surfaces users touch — and the protocols, ontologies, and design docs the team grounds in.

The public Truth Graph

in design

Verified product answers, published as pages people and agents find on the open web.

The surface that turns the verified-knowledge engine into the front door for product research. Where the demand already is.

The consumer + agent surfaces

live

The chat, web, extension, and agent surfaces where people meet Product.ai’s verified answers.

Live public prototypes on product.ai today. Shaped by direct immersion in real user behavior, not a feature list.

The forging pipeline

industrialized

Research distillation through promotion — one operator forges an entire product category.

Built end-to-end, then industrialized so it runs in the background. The shift from operating the pipeline to overseeing it.

The Truth Graph architecture

foundational

The layered ontology stack and its foundational physics layer.

The physics every product category inherits — fact anatomy, confidence tiers, decay profiles. The foundation the entire knowledge engine is built on.

What sets her apart

Five combinations individually rare. Together unusual in one PM.

The research-to-production translator

Most operators consume a methodology or extend it. Jessica took the CEO’s research protocol and built the full end-to-end forging system around it — the pipeline that compiles a verified e-commerce Truth Graph. The function everything downstream of the knowledge engine depends on.

The live human sensing instrument

The small-team thesis assumes someone is in every room reading the source material, not just feeding the machine. That role isn’t on any org chart. Jessica holds it.

Designs by shape, not tone

Most product work in the AI era ships chat. Jessica designs structural answers — interfaces grounded in verified, source-traced facts. Differentiation by shape, not by tone.

A builder, with AI as her hands

She designs the system and builds it with AI — the engineering work without the tenured-specialist depth. Prototypes the Truth Graph and the serving layer directly, in partnership with engineering. The handoff is named, not blurred.

Communications-first, anti-analogy reasoning

No traditional FAANG-PM background — Communication, agency copywriting, content marketing, then product. That path is the asset: less danger of reasoning from analogy, less imported constraint from legacy idioms.

Career history is publicly verifiable, and the Product.ai consumer prototypes are open to try. See the record →
The through-line

The system gets the structure and the data. Jessica brings the live signal — the human sensing instrument the AI can’t be on its own, and the operator who turns the CEO’s research protocol into a product a market can act on.

Product.ai builds with operators like Jessica — and with a community of consumers and experts who shape what we ship. See open roles →

Get in touch with Jessica See the team