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THE VERIFICATION LAYER FOR COMMERCE CHECKED DAILY · OCTOBER 23, 2026
Jessica Ho, Product Manager, Truth Graph at Product.ai
Product Manager, Truth Graph

Jessica Ho

Product Manager, Truth Graph · Product.ai

Product manager of the Truth Graph as a whole property — the company’s verified knowledge graph, at once a published web product, a backend service for Product.ai’s other products, and the structure AI agents crawl. She owns its web pages and leads Alloy, the forging program that produces the verified rules behind it.

Helped turn the CEO’s research protocol into Axiomatic Distillation Protocol (ADP), the system that now runs that work as a product rather than a one-off method. Works directly with the CEO on product direction, and sits inside the Alpha Team, Product.ai’s outside community of operators, as the person who talks to users.

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Tenure
Founding era · Truth Graph
Owns
Truth Graph publishing · Alloy forging
Studied
USC Annenberg · BA Communication
Based
Los Angeles, CA
About

Leads <strong class="text-zinc-200 font-medium">Alloy</strong>, the forging program that produces the Truth Graph’s verified rules, and helped turn the CEO’s research protocol into Axiomatic Distillation Protocol (ADP), now run as a repeatable product. She owns the Truth Graph’s published web pages end to end.

The range

01 · Truth Graph

Graph Ownership

Owns the Truth Graph as a whole property — the published pages, the knowledge graph underneath them, and the service Product.ai’s other products call on. One operator owns all three surfaces.

02 · Truth Graph

Alloy Forging

Runs the forging program that turns raw research into verified rules — the quality gates deciding what the graph is allowed to state as confirmed.

03 · Protocol to product

Axiomatic Distillation Protocol

Helped turn the CEO’s research protocol into ADP, a system a team can run — not a method that lives only in one person’s head.

04 · User signal

Alpha Team Research

Sits inside the Alpha Team, Product.ai’s outside community of operators, as the person who talks to users directly and brings what she hears back into the product.

05 · How she builds

Builder, AI as Her Hands

Not a career engineer. Designs the system and prototypes the graph herself with AI, in partnership with engineering, before production ownership moves to them.

Marquee stops

From copywriter to content to product manager of the Truth Graph.

2025 → Now · Product.ai
Product.ai
Product Manager, Truth Graph
Product manager of the Truth Graph as a whole property — the web pages, the knowledge graph behind them, and the service Product.ai’s other products call on for verified answers. Leads Alloy, the forging program behind the graph’s verified rules, and helped turn the CEO’s research protocol into Axiomatic Distillation Protocol (ADP), the system that now runs that work as a product. Works directly with the CEO on product direction, and sits inside the Alpha Team as the person who talks to users directly. Builds hands-on with AI, then hands production to engineering.
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. She translated 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 editorial judgment behind an AI product’s graph, 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 Truth Graph is how that reaches the world: a published web product, a backend service for Product.ai’s other products, and the structure AI agents crawl — so the research happens where the demand already is, grounded in something specific rather than a confident guess.

The same discipline separates engineering proof from user evidence. An engineering surface tests a hypothesis; the Alpha Team, Product.ai’s outside community of operators, 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. The thesis, in one line
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.

“Real constraints 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…’”

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.

“Consumer surfaces people are devastated to lose. Not nice-to-have.”

04 AI posture

Active context discipline.

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

“I’m constantly challenging my AI agents when they seem to be missing context, skipping protocols, or making hasty judgments.”

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 the graph itself, the program that forges it, and the protocol it runs on.

Her output is the Truth Graph as a property — the pages, the rules behind them, and the protocol that forges them.

The Truth Graph

property

The company’s verified knowledge graph — a published web product, a backend service, and the structure AI agents crawl.

The surface and the service in one. What she owns end to end.

Alloy, the forging program

ongoing

The pipeline and quality gates that decide what counts as a verified fact.

Every claim on the graph passes through it before it ships. The connective tissue the whole property depends on.

Axiomatic Distillation Protocol (ADP)

shipped

Helped turn the CEO’s research protocol into a repeatable product, not a one-off method.

The method that forges the graph’s rules now runs as a system a team can operate. Protocol to product.

Alpha Team user research

ongoing

Sits inside Product.ai’s outside community of operators as the person who talks to users directly.

Keeps the graph’s priorities grounded in what real users need next, not just what the pipeline can produce.

What sets her apart

Five things that show up together in how she works.

The research-to-production translator

Most operators consume a methodology or extend it. Jessica helped take the CEO’s research protocol and turn it into Axiomatic Distillation Protocol (ADP) — a system a team runs, not a method that lives in one person’s head. The function everything downstream of the Truth Graph depends on.

The live human sensing instrument

The small-team thesis assumes someone is in the room with real users, not just reading what the pipeline ingests. Jessica sits inside the Alpha Team and talks to users directly. That role isn’t on any org chart. She holds it.

Owns the whole property, not one surface

The Truth Graph is a published web product, a backend service, and the structure AI agents crawl — three audiences, one owner. Differentiation by owning the whole shape, not one face of it.

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 directly, in partnership with engineering. The handoff is named, not blurred.

Communications-first, anti-analogy reasoning

No traditional corporate 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 Truth Graph’s public pages are open to read. 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 turned the CEO’s research protocol into a Truth Graph a market can trust.

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