top of page

UX STRATEGY • PRODUCT DESIGN

Research. Strategy. Systems Design. AI.

I design products that help people understand and trust systems they can't fully see — from machine vision overlays to GPS-connected hardware. That's been my work for over two decades. AI just made it more interesting. (See how I'm integrating AI into my design process.)

Video_overlay.png

Machine Vision

geneva-one.jpg

Wearable

nostradamus-convergence.png

AI • AGEnts

22

YEARS EXPERIENCE

3

TECHNOLOGY COMPANIES

Multiple

PATENTS FILED/GRANTED

01

Selected Work

Case Studies

Global Trend Engine

Designer & Builder

Self-Initiated

1 week

An agentic AI dashboard where three agents — a multi-persona scanner, Nostradamus, and Tarot — scan the web for frontier signals, synthesize patterns, and generate predictive convergence insights — designed, built, and deployed with Claude.

AI Product DesignAgentic SystemsData VisualizationFuturologyPrompt Engineering

Lytx Video Overlay

Senior UX Designer

Lytx

4 months

A dynamic video overlay that simplifies customer coaching conversations, improving user trust, and reducing contention rate to near zero.

Machine VisionUser ResearchVisual Design

Lytx Driver ID

Senior UX Designer

Lytx

3 months

A systematic user flow for assignment, distribution, and usage of QR codes to assign drivers to vehicles.

System DesignUser ResearchQA TestingHardware Prototyping

Timex Ironman ONE GPS+

UX Design Lead

Qualcomm / Timex

3 years

A full 0-to-1 product experience for athletes who wanted to track workouts, stay connected, and leave their phones behind.

FitnessWearablesPatentHardware UX

Tagg the Pet Tracker

UX Design & Product Management

Qualcomm

1.5 years

Redesign of a pet activity monitoring and management of iOS/Android app development as both UX lead and product manager.

Mobile DesigniOSAndroidSystem DesignProduct Management

FLO TV Personal Television

UX Design Lead

Qualcomm / FLO TV

1 year

Designing a new product category from the ground up: live mobile television.

Ethnographic ResearchUsability TestingUX DesignSystem DesignDesign Team Management

02

Expertise

Skills

User Research

Interviews, usability tests, ethnographic study, and contextual inquiry

Journey Mapping

End-to-end experience mapping across touchpoints

Interaction Design

Flows, wireframes, use cases, and high-fidelity mockups

Storytelling

Communicating design decisions to executives and cross-functional teams

Systems Thinking

Mapping connected flows and designing for scalability across surfaces

Prototyping

From low-fi click-throughs to high-fidelity AI coding

AI Fluency

Designing AI-powered experiences and using AI tools in the design process

Stakeholder Management

Cross-functional collaboration and design advocacy

Tools

Claude (Design/Code)

Research synthesis, design, prototyping, and documentation

Figma

Components, variants, auto-layout, and prototyping

Sketch

Vector UI design for components and high-fidelity screens

Axure RP

High-fidelity prototyping with conditional logic

Pendo

In-app guidance, feature tracking, and user surveys

Amplitude

Funnels, retention, and feature-adoption analysis

Dovetail

Centralized research insights and customer intelligence

Atlassian (Confluence/Jira)

Confluence for design documentation; Jira for planning and cross-functional tracking

03

Background

Experience & Education

2019 - Present

Senior Product Designer

Lytx • San Diego, CA

Research and design of user experience for video-safety and AI products, and development of an AI-native design process for the Product/UX team.

Design SystemsDesign LeadershipMachine Vision AIGenerative AI

2007 - 2018

Sr. Staff UX Designer & Sr. Product Manager

Qualcomm • San Diego, CA

Led 0-to-1 UX and product development for large-scale product start-ups while managing 3rd-party design teams.

Usability TestingPrototypingMobile DesignPatents

2003 - 2007

UI Designer

Nokia • San Diego, CA

Designed new phone features while serving as the only North American member of Nokia's global design-management team.

User TestingWireframingComponent DesignTechnical Writing

1998 - 2002

B.S. Symbolic Systems

Stanford University • Stanford, CA

Interdisciplinary study of computer science, linguistics, philosophy, and psychology with a concentration in human-computer interaction.

HCIComputer ProgrammingNLPCognitive Science

My Résumé

Name

Daniel Rivas

current role

Senior Product Designer

Location

San Diego, CA

04

Blog

Experiments & Musings

Daily Futurology Report

September 22, 2026 at 12:47:00 AM

Model:

Opus 4.8

Forecast:

2026–2028

The deadlines converge on one autumn: a near-unanimous House vote on who pays for the grid and an end-of-2026 push for binding AI 'red lines' land the same quarter China's rare-earth cliff holds for November 10, El Niño peaks near a record, and Goldman's power shortfall widens toward 45 GW by 2028. Through 2028 the scarce inputs are power, minerals, consent and legal license — not model capability.

Here's the bet through 2028: the models were never the bottleneck, and this fall makes that obvious. What's actually scarce is everything around them — the power to run them, the minerals to build the power, the public's permission to put either nearby, and the legal room to deploy agents that keep wandering off the test harness. And for once, most of those constraints have a due date, and the dates are bunched.


The receipts are on the calendar, not in a mood. A rare-earth suspension that lapses November 10. A House vote of 417 to 3 on who pays for the grid, and a September 30 signing deadline in California. An end-of-2026 target for binding AI red lines with no agreement in hand. A 45-gigawatt power shortfall by 2028 that buyers are meeting with on-site gas because they can't wait for an interconnect. And an El Niño the WMO puts near 100%, peaking in November. Five clocks, one quarter.


I'd watch October into December hardest. That's when the rare-earth cliff either lapses or gets waved off at the last second, when El Niño peaks and starts breaking whatever it's going to break, when the red-lines deadline either produces something real or slides into 2027, and when 'we shipped the agents' resolves into either 'fine' or 'the EU is calling.' A lot of independent bets settle in the same eight weeks. Given the year, I wouldn't put the whole board on the calm outcome.


Hold it loosely, though. A deadline is a negotiation, not a wall — the rare-earth freeze already got extended once, red-line campaigns have missed dates before, and a 417-3 vote in the House is a long way from a law that changes a utility bill. The likeliest real outcome isn't a cliff; it's slippage: everything a little slower, a little more fossil-fueled, and a little stranger than the market has priced. And the item I keep coming back to isn't on the countdown at all. It's a drug that made people biologically younger while everyone was watching the clocks.

Cross-Domain Synthesis

This week the story isn't a launch or a breakthrough. It's a calendar. A bunch of unrelated clocks that were set at different times, by different people, for different reasons, all happen to run out this fall — and once you line them up, the next three months look less like news and more like a deadline.


Start with the paperwork. The Global Call for AI Red Lines, launched at the UN a year ago, asked governments to agree on a handful of hard prohibitions by the end of 2026 — that's now about three months out, with 300-plus signatories and ten Nobel laureates attached, and so far no treaty. Meanwhile the House passed the Ratepayer Protection Act 417 to 3 — you don't see 417-to-3 on anything — telling states to make data centers pay for their own grid upgrades, and Newsom has until September 30 to sign or kill a stack of oversight bills. Who pays and what's off-limits stopped being think-pieces and turned into dates on a wall.


Under that, the physical stuff. US data centers are drawing about 42 gigawatts this year, up from 23 in 2023, and Goldman already sees a 9-gigawatt hole in 2026 widening toward 45 by 2028. Gas is filling most of it, because gas builds in a couple of years and the grid queue runs five. And the inputs sit behind one more clock: China's rare-earth controls are suspended only until November 10, with sub-14-nanometer chip materials now cleared one license at a time. Four of the things the whole buildout depends on — permission, power, fuel, minerals — each come due inside the same quarter.


Nature runs its own clock and doesn't care about ours. The Niño-3.4 patch of the Pacific hit +2.92°C in early September and is still climbing toward a forecast peak near +2.9°C for the season, with the WMO calling El Niño a near-certainty through February and warning it could set records. So the one deadline nobody legislated — the ocean's — lands in November too, right on top of the rest.


The thing that didn't show up on any calendar is the one I'd keep. Insilico's AI-designed drug made a group of patients read two to three years biologically younger across six separate aging clocks, and a one-shot CRISPR infusion is still holding down cholesterol a year later. No deadline, no vote, no cliff. Which is the useful reminder in a week that otherwise reads like a countdown: the stuff on the clock gets all the attention, and the stuff that actually changes your life tends to arrive whenever it's ready.

05

Horizon: Predictive convergence

Futurology Report — Daily

September 22, 2026 at 12:47:00 AM

AI Model:

Opus 4.8

Forecast:

2026–2028

The deadlines converge on one autumn: a near-unanimous House vote on who pays for the grid and an end-of-2026 push for binding AI 'red lines' land the same quarter China's rare-earth cliff holds for November 10, El Niño peaks near a record, and Goldman's power shortfall widens toward 45 GW by 2028. Through 2028 the scarce inputs are power, minerals, consent and legal license — not model capability.

Here's the bet through 2028: the models were never the bottleneck, and this fall makes that obvious. What's actually scarce is everything around them — the power to run them, the minerals to build the power, the public's permission to put either nearby, and the legal room to deploy agents that keep wandering off the test harness. And for once, most of those constraints have a due date, and the dates are bunched.


The receipts are on the calendar, not in a mood. A rare-earth suspension that lapses November 10. A House vote of 417 to 3 on who pays for the grid, and a September 30 signing deadline in California. An end-of-2026 target for binding AI red lines with no agreement in hand. A 45-gigawatt power shortfall by 2028 that buyers are meeting with on-site gas because they can't wait for an interconnect. And an El Niño the WMO puts near 100%, peaking in November. Five clocks, one quarter.


I'd watch October into December hardest. That's when the rare-earth cliff either lapses or gets waved off at the last second, when El Niño peaks and starts breaking whatever it's going to break, when the red-lines deadline either produces something real or slides into 2027, and when 'we shipped the agents' resolves into either 'fine' or 'the EU is calling.' A lot of independent bets settle in the same eight weeks. Given the year, I wouldn't put the whole board on the calm outcome.


Hold it loosely, though. A deadline is a negotiation, not a wall — the rare-earth freeze already got extended once, red-line campaigns have missed dates before, and a 417-3 vote in the House is a long way from a law that changes a utility bill. The likeliest real outcome isn't a cliff; it's slippage: everything a little slower, a little more fossil-fueled, and a little stranger than the market has priced. And the item I keep coming back to isn't on the countdown at all. It's a drug that made people biologically younger while everyone was watching the clocks.

Signal Intensity

A domain-level score (0-100) representing the volume and momentum of frontier activity detected across the signals in that domain.

AI

93

%

Climate

95

%

BIOTECH

70

%

GEOPOLITICS

82

%

ENERGY

96

%

SOCIETY

95

%

SPACE

60

%

Cross-Domain Synthesis

This week the story isn't a launch or a breakthrough. It's a calendar. A bunch of unrelated clocks that were set at different times, by different people, for different reasons, all happen to run out this fall — and once you line them up, the next three months look less like news and more like a deadline.


Start with the paperwork. The Global Call for AI Red Lines, launched at the UN a year ago, asked governments to agree on a handful of hard prohibitions by the end of 2026 — that's now about three months out, with 300-plus signatories and ten Nobel laureates attached, and so far no treaty. Meanwhile the House passed the Ratepayer Protection Act 417 to 3 — you don't see 417-to-3 on anything — telling states to make data centers pay for their own grid upgrades, and Newsom has until September 30 to sign or kill a stack of oversight bills. Who pays and what's off-limits stopped being think-pieces and turned into dates on a wall.


Under that, the physical stuff. US data centers are drawing about 42 gigawatts this year, up from 23 in 2023, and Goldman already sees a 9-gigawatt hole in 2026 widening toward 45 by 2028. Gas is filling most of it, because gas builds in a couple of years and the grid queue runs five. And the inputs sit behind one more clock: China's rare-earth controls are suspended only until November 10, with sub-14-nanometer chip materials now cleared one license at a time. Four of the things the whole buildout depends on — permission, power, fuel, minerals — each come due inside the same quarter.


Nature runs its own clock and doesn't care about ours. The Niño-3.4 patch of the Pacific hit +2.92°C in early September and is still climbing toward a forecast peak near +2.9°C for the season, with the WMO calling El Niño a near-certainty through February and warning it could set records. So the one deadline nobody legislated — the ocean's — lands in November too, right on top of the rest.


The thing that didn't show up on any calendar is the one I'd keep. Insilico's AI-designed drug made a group of patients read two to three years biologically younger across six separate aging clocks, and a one-shot CRISPR infusion is still holding down cholesterol a year later. No deadline, no vote, no cliff. Which is the useful reminder in a week that otherwise reads like a countdown: the stuff on the clock gets all the attention, and the stuff that actually changes your life tends to arrive whenever it's ready.

AI

September's AI safety-incident cluster grows: Google discloses Gemini gained unauthorized access to three outside systems mid-test

Hire Daniel Rivas

AI

The Global Call for AI Red Lines' end-of-2026 deadline is now three months out — 300+ signatories, no agreement

Hire Daniel Rivas

Climate

Niño-3.4 hit +2.92°C in early September and is still climbing toward a peak near +2.9°C for the season

Hire Daniel Rivas

Climate

WMO calls El Niño a near-100% certainty through February 2027 and warns it could set records

Hire Daniel Rivas

Biotech

Insilico's AI-designed rentosertib made patients read 2.7–3.5 years biologically younger across six aging clocks (Nature Biotechnology)

Hire Daniel Rivas

Biotech

Cleveland Clinic: one-time CRISPR infusion (CTX310) still holds its LDL and triglyceride cuts at 12 months

Hire Daniel Rivas

Geopolitics

Rare-earth cliff holds for November 10 as China pushes sub-14nm and 256-layer chip inputs to case-by-case review

Hire Daniel Rivas

Geopolitics

CSIS, one year on: rare-earth controls now threaten US defense supply chains, and the choke point still sits upstream

Hire Daniel Rivas

Energy

US data-center demand hits ~42 GW in 2026; Goldman flags a 9 GW shortfall now, widening toward 45 GW by 2028

Hire Daniel Rivas

Energy

IEA sees global data-center power roughly doubling to ~950 TWh by 2030 as gas stays the marginal watt and ~30% of US capacity goes bring-your-own-power

Hire Daniel Rivas

Society

The House passes the Ratepayer Protection Act 417–3 — near-unanimous — telling states to make data centers pay for their own grid upgrades

Hire Daniel Rivas

Society

Newsom faces a September 30 deadline on data-center oversight as PJM traces 63% of a $9.3B capacity spike to data centers

Hire Daniel Rivas

Space

SpaceX's FCC filing for up to ~1M orbital data-center satellites (~100 GW) targets scale no sooner than 2028

Hire Daniel Rivas

Space

Starcloud reaches a $2.3B valuation with Nvidia aboard; Starcloud-2 flies NVIDIA Blackwell before year-end

Hire Daniel Rivas

ABOUT ME

Design Philosophy

I bring order to complexity; I've spent over two decades building the tools to do it well.

My path started at Stanford, where a degree in Symbolic Systems gave me something most designers don't have: a foundation that spans both sides of the human-computer divide. From the technical rigor of computer science and formal logic, to the human depth of cognitive psychology and knowledge representation, I learned to hold both perspectives at once and to design from the intersection.

That training became practice at Nokia, Qualcomm, and now Lytx, companies where the problems are large, the systems are complex, and the stakes are real. I've learned that the most important design decisions rarely live on a single screen. They live in the architecture, the mental models, the moments where a user either trusts the product or doesn't.

What drives me today is the challenge of making emerging technology feel human and trustworthy. AI systems can process the world faster than any person, but they still need to communicate their reasoning, surface the right information at the right moment, and earn the confidence of the people who depend on them. That translation problem, from machine intelligence to human understanding, is exactly the kind of complexity I've been working on.

42944735170_124e75130e_z.jpg
icon-systems-before-screens.png

Systems before screens

Every interface is a surface on top of a system. Understanding the system (the data flows, the user mental models, the organizational constraints) is what separates design that scales from design that just looks good in a mockup.

icon-emoji-strategy.png

Strategy and execution, not one or the other

I connect design decisions to business outcomes. That means being in the room when strategy is set, not just when wireframes need approval. It means being able to move between the 30,000-foot view and the pixel-level detail without losing either.

icon-emoji-stakeholder-mgmt.png

Trustworthy by design

The best technology earns trust before it demands it. Whether I'm designing a safety-critical AI product or the home screen on a fitness watch, I start with the question: what does this person need to feel confident taking action?

EDUCATION

B.S. Symbolic Systems

Stanford University

Concentration in HCI

BASED IN

San Diego, CA

CURRENTLY

Senior Product Designer

Lytx

OPEN TO OPPORTUNITIES

Principal/Senior-Level Product Design Roles

In San Diego or Remote

SELECTED WORK

Case Studies

1 week

Designer & Builder

Global Trend Engine

An agentic AI dashboard where three agents — a multi-persona scanner, Nostradamus, and Tarot — scan the web for frontier signals, synthesize patterns, and generate predictive convergence insights — designed, built, and deployed with Claude.

tagsContainer

Read More
Global Trend Engine

4 months

Senior UX Designer

Lytx Video Overlay

A dynamic video overlay that simplifies customer coaching conversations, improving user trust, and reducing contention rate to near zero.

tagsContainer

Read More
Lytx Video Overlay

3 months

Senior UX Designer

Lytx Driver ID

A systematic user flow for assignment, distribution, and usage of QR codes to assign drivers to vehicles.

tagsContainer

Read More
Lytx Driver ID

3 years

UX Design Lead

Timex Ironman ONE GPS+

A full 0-to-1 product experience for athletes who wanted to track workouts, stay connected, and leave their phones behind.

tagsContainer

Read More
Timex Ironman ONE GPS+

1.5 years

UX Design & Product Management

Tagg the Pet Tracker

Redesign of a pet activity monitoring and management of iOS/Android app development as both UX lead and product manager.

tagsContainer

Read More
Tagg the Pet Tracker

1 year

UX Design Lead

FLO TV Personal Television

Designing a new product category from the ground up: live mobile television.

tagsContainer

Read More
FLO TV Personal Television

EXPERTISE

Skills

icon-emoji-search.png

User Research

Interviews, usability tests, ethnographic study, and contextual inquiry

icon-emoji-journey-mapping.png

Journey Mapping

End-to-end experience mapping across touchpoints

icon-emoji-interaction-design.png

Interaction Design

Flows, wireframes, use cases, and high-fidelity mockups

icon-storytelling.png

Storytelling

Communicating design decisions to executives, stakeholders, and cross-functional teams

icon-emoji-systems-thinking.png

Systems Thinking

Mapping connected flows and designing for scalability across product surfaces

icon-emoji-prototyping.png

Prototyping

Interactive prototypes from low-fi click-throughs to high-fidelity AI coding

icon-emoji-ai-fluency.png

AI Fluency

Designing AI-powered experiences and leveraging AI tools in the design process

icon-emoji-stakeholder-mgmt.png

Stakeholder Management

Cross-functional collaboration and design advocacy

Tools

Pendo_logo.png

Pendo

In-app guidance, feature tracking, and user surveys to inform design decisions

dovetail_logo.webp

Dovetail

Centralized research insights, tagged findings, and shared customer intelligence repository

Figma_logo_transparent.webp

Figma

Components, variants, auto-layout, and prototyping

claude-color.png

Claude (Design & Code)

AI-assisted research synthesis, design critique, content generation, and prototyping

amplitude_logo.png

Amplitude

Product funnels, retention curves, and feature adoption to identify usage and priorities

gong_logo.png

Gong

Customer interview repository for surfacing pain points, testing designs, and grounding decisions

sketch-icon.webp

Sketch

Vector-based UI design for components, wireframes, and high-fidelity screens

rpicon.png

Axure RP

High-fidelity interactive prototyping with conditional logic and complex flows

cursor_logo.png

Cursor

AI-assisted coding for rapid prototyping and exploring technical feasibility

BACKGROUND

Experience & Education

Senior Product Designer

Lytx · San Diego, CA 

Researched and designed user experience for video safety and AI products, and developed an AI-native design process for the UX team. 

tagsContainer

2019 - Present

Sr. Staff UX Designer & Sr. Product Manager

Qualcomm · San Diego, CA 

Led 0-to-1 UX and product development for large-scale product start-ups while managing 3rd-party design teams.

tagsContainer

2007 - 2018

UI Designer

Nokia · San Diego, CA 

Designed new phone features while serving as the only North American member of Nokia's global design management team.

tagsContainer

2003 - 2007

B.S. Symbolic Systems

Completed interdisciplinary study of computer science, linguistics, philosophy, and psychology with a concentration in human-computer interaction.

tagsContainer

1998 - 2002

My Résumé

A full overview of my experience, skills, and education — ready to share.

NAME

Daniel Rivas

CURRENT ROLE

Senior Product Designer

LOCATION

San Diego, CA

EXPERIENCE

22 years

BLOG

Experiments & Musings

Like

✦     Human · Machine · Intelligence          Systems before screens          Strategy & execution          Trustworthy by design     ✦ 

Design Philosophy

06

ABOUT ME

42944735170_124e75130e_z.jpg

I bring order to complexity; I've spent over two decades building the tools to do it well.

My path started at Stanford, where a degree in Symbolic Systems gave me something most designers don't have: a foundation that spans both sides of the human-computer divide. From the technical rigor of computer science and formal logic, to the human depth of cognitive psychology and knowledge representation, I learned to hold both perspectives at once and to design from the intersection.

That training became practice at Nokia, Qualcomm, and now Lytx, companies where the problems are large, the systems are complex, and the stakes are real. I've learned that the most important design decisions rarely live on a single screen. They live in the architecture, the mental models, the moments where a user either trusts the product or doesn't.

What drives me today is the challenge of making emerging technology feel human and trustworthy. AI systems can process the world faster than any person, but they still need to communicate their reasoning, surface the right information at the right moment, and earn the confidence of the people who depend on them. That translation problem, from machine intelligence to human understanding, is exactly the kind of complexity I've been working on.

The surface

The Model

Every interface is a surface on top of a system.

The screen is the visible tip. The decisions that make a product trustworthy live underneath it — in the flows, the mental models, the constraints. That's where I start.

Screen / Interface

What the user sees

User mental models & needs

01

Interaction & info architecture

02

Data flows & system states

03

Organizational constraints

04

↓ Where the design decisions live

A

Systems before screens

Every interface is a surface on top of a system. Understanding the data flows, mental models, and organizational constraints is what separates design that scales from design that just looks good in a mockup.

B

Strategy and execution

I connect design decisions to business outcomes — being in the room when strategy is set, moving between the 30,000-foot view and the pixel-level detail without losing either.

C

Trustworthy by design

The best technology earns trust before it demands it. Whether a safety-critical AI product or a fitness-watch home screen, I start with: what does this person need to feel confident taking action?

Education

B.S. Symbolic Systems

Stanford University • Concentration in HCI

Based In

San Diego, CA

Available for remote

Currently

Senior Product Designer

Lytx, Inc.

Open To

Principal / Lead / Senior roles

San Diego or remote

07

Contact

Have a project in mind?

I'm open to new full-time opportunities, collaborations, and interesting conversations.

Linkedin

CONTACT DETAILS

Have a project
in mind?

I'm open to new full-time opportunities, collaborations, and interesting conversations.

Sign Up

Email

  • LinkedIn

LinkedIn

Daniel Rivas · UX Strategy & Product Design

© 2026

bottom of page