Julian Bleecker, Ph.D. | Engineer, Designer, creative director, product builder, Founder
I design and prototype products that anticipate possibilities so as to help teams decide what to build, back, or avoid.
I work across research, product design, creative direction, engineering, and strategic foresight to turn ambiguous AI, technology, and broad culture shifts into things teams can see, test, and discuss.
In uncertain environments, organizations need someone who can make unfamiliar possibilities real enough to evaluate. I create speculative product prototypes, future-facing service concepts, quick-start guides, manuals, reviews, and other artifacts that show what a possible future might actually feel like in use. The work gives leaders something legible to inspect, question, and decide with.
My background connects a Ph.D. in History of Consciousness from UC Santa Cruz, where I studied with anthropologist James Clifford, historian of science Donna J. Haraway, and philosopher-activist Angela Y. Davis; graduate studies in human-computer interaction, engineering, and technology/culture research at the University of Washington; and an electrical engineering degree from Cornell with work in computer science and computer architecture.
My value is the combination: hands-on engineering literacy, product judgment, and deep cultural research. I can help teams understand what a technology can do and what it might become in people’s lives, markets, institutions, and public imagination.
Research Orientation
AI futures need more than prediction. They need model worlds, artifacts, and ways to notice what ordinary planning misses.
Design fiction, anticipatory research, and speculative prototyping can make AI behaviors, institutional effects, agentic interactions, and misalignments observable before they settle into everyday practice.
Technology in everyday life
AI and emerging technologies understood through products, interfaces, organizations, incentives, rituals, governance, and everyday use.
Speculative model worlds
Small designed scenarios, artifacts, and prototypes for rehearsing unfamiliar behaviors, agentic interactions, and second-order consequences.
Failures of imagination
Methods for surfacing unknowns, anxieties, hopes, edge cases, and misalignments that conventional strategy, policy, or engineering processes often miss.
Call Me When
There is a consequential decision to make, but the future it assumes is still too vague.
The consequences are unclear
A major product, policy, investment, or organizational decision is on the table, but the team cannot yet see what it commits them to technically, culturally, or operationally.
The strategy feels underdefined
There is a direction, theme, or mandate, but it is still too abstract to evaluate, fund, brief, or turn into a roadmap.
Leadership is not aligned
People are using the same words but imagining different futures, different risks, and different versions of success.
Emerging technology has changed the terrain
AI or another unfamiliar technology is creating pressure to act before the organization has a shared picture of what it becomes in ordinary life.
The roadmap is arriving too early
The organization is being asked to optimize, execute, or scale before the underlying objective has been made tangible and clear.
Your old language cannot describe the new terrain
Today's available idioms and metaphors are too old for the new possibility, so teams struggle to name it, explain it, align around shared understanding, or recognize the opportunity in front of them.
The wheels-on-luggage problem
Selected Work
Projects that show how possible futures become tools for decision, alignment, and risk exposure.
The Adjacency
Strategy Fiction and Anticipatory Research: taking today's signals, trends, memes, hopes, fears, and desires and translating them into the vernacular of near-future news stories, ads, speculative jobs, classifieds, product reviews, and found-media fragments.
Extends artifact-led futures work into a living publication format that can expose policy, model-behavior, and governance implications before they settle into defaults.
TBD Catalog
Used the familiar language of a catalog to compress debate, surface assumptions, and explore adjacent possibilities through artifacts.
Turned unclear futures into inspectable objects that exposed assumptions, risks, and options for decision makers.
Applied Intelligence / Newspaper from an AI Future
A newspaper from an AI future that reframed strategic and policy conversations around model behavior, delegated authority, institutional defaults, and governance.
Helps leaders move from AI anxiety or hype to specific questions about consequences, agentic interactions, governance, trust, and organizational action.
OMATA
Founded OMATA and built the OMATA One from prototype into a manufactured hardware product and product company.
Shows entrepreneurial execution: imagining a future product, building it, shipping it, operating the company around it, and selling the business.
OMATA Annual Report from the Future
Created a future annual report for OMATA, the company I founded in 2015, to make the company vision tangible, legible, and operationally discussable.
Shows Design Fiction used as practical company strategy. The annual report helped establish a shared north star and was instrumental in the successful pitch and sale of OMATA.
Curious Rituals
A book and film project documenting the gestures, habits, and rituals that appeared as networked devices became ordinary.
Shows how weak signals become material evidence for understanding what emerging technology is doing in ordinary life.
Corner Convenience
A near-future convenience store exercise that used familiar retail formats to make changing expectations around convenience tangible.
Turns a broad cultural and product question into inspectable objects people can compare, critique, and decide around.
Car and Driverless Magazine
A 72-page magazine from a possible autonomous vehicle future, created to make strategic implications legible for leadership teams.
Shows how a future-facing publication artifact can turn a complex technology shift into something leaders can inspect and debate together.
Quick Start Guide for a Self-Driving Car
A Design Fiction workshop with IxDA that used the humble quick-start guide to explore the human, data, mobility, and service questions around a fictional self-driving car.
Shows how a familiar instruction format can force a team to move from abstract mobility futures into specific use cases, edge cases, and decisions about everyday life with a new technology.
The Work Kit of Design Fiction
A physical toolkit of prompt cards for generating possible future products, services, user experiences, scenarios, and artifacts.
Shows the method becoming a usable object: a hands-on tool people can use to practice making futures tangible.
What Changes
After the work, the team has something tangible to decide with.
Outcome
Shared language
The team has a more precise way to discuss the decision, the future it assumes, and the disagreement that needs attention.
Outcome
Exposed implications
Risks, consequences, second-order effects, and operational assumptions become visible early enough to matter.
Outcome
Clearer options
Leadership can compare possible commitments with more confidence instead of mistaking a vague direction for a decision.
Engagement Models
Time-bounded ways to turn ambiguity into decision-grade clarity.
These are not generic service packages. Each model starts with a decision, mandate, or high-stakes question and works backward toward the artifacts, sessions, and synthesis needed to make that decision clearer.
Decision Clarity Sprint
When to use
Use this when a team needs to make or shape a near-term decision, but the consequences and options are still fuzzy.
What you get
A sharper decision frame, a small set of artifacts or scenarios, clearer options, exposed risks, and language the team can use immediately.
The team stops debating abstractions and starts evaluating what the decision would actually imply.
Strategic Artifact Engagement
When to use
Use this when a strategy, technology shift, market possibility, or policy question needs to become tangible enough for executive debate.
What you get
Decision tools that can be inspected, challenged, circulated, and used to expose implications before commitments become defaults.
Artifacts make risk, alignment, and investment questions easier to see than a deck or report alone.
Executive Alignment Session
When to use
Use this when leaders need a shared picture of what they are deciding, what future they are assuming, and where disagreement actually sits.
What you get
A clearer shared frame, named tensions, stronger questions, and a more useful basis for next-step decisions.
Alignment improves when leaders can point at something tangible instead of negotiating around vague futures language.
Fractional / Advisory Partner
When to use
Use this when an organization needs senior judgment over time before the roadmap, lab, venture, or capability is fully defined.
What you get
Senior decision support, artifact-led strategy, sharper briefs, stakeholder alignment, and help translating uncertainty into options.
Some mandates need experienced pattern recognition before they need permanent headcount or a large program.
Decision Context
Most useful when a leadership team needs to compare options, understand consequences, and choose what deserves commitment.
The strongest brief has a real decision inside it: whether to fund, redirect, govern, launch, pause, or stop something. The work makes possible futures specific enough to inspect before the choice becomes expensive.
Who are you?
People with a real mandate, real stakes, and enough authority to take action and make decisions.
Relevant contexts include executive strategy, product and venture bets, AI governance, policy questions, strategic foresight, R&D, and senior advisory work where implications matter before implementation begins.
Proof
A practice built to connect technical grounding, tangible artifacts, executive judgment, and real operating responsibility.
Founder / operator proof
Built and sold OMATA
Evidence that the work reaches beyond concept: I carried an uncertain product bet through product definition, software, hardware, brand, manufacturing, operations, and sale.
Technical grounding
Engineering plus product judgment
Engineering degree work and hands-on product-building experience keep the speculative work connected to feasibility, constraints, systems, and implementation.
Research grounding
UCSC / UW / Cornell
A humanities Ph.D., graduate HCI and technology/culture research, and electrical/computer engineering foundations.
Method proof
Design fiction as decision support
A long-running artifact-led practice for making plausible futures tangible enough to inspect, debate, and act on.
Emerging-technology proof
AI, policy, governance
Current work focuses on making institutional, operational, and public consequences of AI tangible before they normalize.
Executive learning proof
Shared language under uncertainty
Teaching, seminars, and leadership sessions designed to improve judgment, alignment, and consequence-awareness rather than provide inspiration alone.
If you are evaluating whether this work can survive real constraints, start with OMATA. It began as an ambiguous product bet and required product, brand, engineering, manufacturing, operations, customer care, and ultimately the sale of the company.
Role Signals
The useful profile for me is someone fluent across engineering, storytelling, foresight, strategy, product and founder modes, with the capacity to build and lead teams through terrain where our inherited maps, language, and ways of knowing no longer quite fit.
This can show up as an advisory engagement, a fractional leadership role, a focused decision sprint, or a larger artifact-led strategy program. The common thread is helping someone decide something important.
Current Focus
Current work is centered on institutions trying to reason clearly before the future arrives as default behavior.
AI Policy & Governance
Current work in AI policy and governance uses artifact-led scenarios and speculative prototypes to examine delegated authority, institutional trust, accountability, and public consequences as AI systems move into everyday workflows.
The work makes trust problems, governance gaps, and real-world consequences observable before they become normal operating conditions.
Going Over Backwards
An in-progress book about building organizational imagination as a practical capability for perceiving unfamiliar possibilities before they fit the existing language of the institution.
It frames speculative prototyping as a disciplined way for teams to host uncertainty, test implications, and make better commitments.
Writing
Books and writing that codify the method behind the work.
Organizational Imagination / Speculative Prototyping
An in-progress book making the case for speculative prototyping as a practical way for teams to reason about commitments before they settle into operating defaults.
Shows the current direction of the work: organizational imagination as decision capability, not imagination as an end in itself.
The Manual of Design Fiction
A practical and canonical reference for design fiction and the use of artifacts to render futures tangible.
This book documents a practice I developed and evolved, from a short essay into a method for making possible futures tangible enough to inspect.
It’s Time To Imagine Harder
A concise statement of the strategic posture behind the broader body of work.
Frames imagination as a disciplined way to see options, consequences, and commitments before the familiar process takes over.
Near Future Laboratory
The broader Near Future Laboratory archive includes essays, primers, and project work spanning more than 20 years of work at the intersection of design, technology, and culture.
The archive shows the depth behind the decision-facing work here: methods, projects, artifacts, reflections, and long-term practice.