ET.
ET.

Product systems · AI · Prototyping

I design product systems
for the AI era.

AI makes it easier to build software. The harder problem is deciding what to build, understanding how it should work, and keeping the product coherent as it changes.

I help product and technology leaders turn ambiguous AI opportunities into clear product behavior, interactive prototypes, and working systems.

How I work

From possibility to working product

Most AI initiatives begin with excitement and stall in the space between strategy and execution.

I work across that gap—helping teams identify meaningful opportunities, model how a product should behave, test the riskiest assumptions, and turn decisions into software.

  • 01AI product strategy
  • 02Product and systems architecture
  • 03Rapid interactive prototyping
  • 04Agentic workflows and automation
  • 05Technical implementation
  • 06Product experimentation and validation

What I help organizations do

Four outcomes

01

Find the right AI opportunity

Separate meaningful product and operational opportunities from technology-driven distractions.

02

Make the idea tangible

Turn uncertain concepts into working prototypes that stakeholders and users can experience—not just presentations and requirements documents.

03

Design the complete system

Connect product behavior, interfaces, business rules, data, AI agents, human decisions, and operational constraints.

04

Move safely into production

Translate validated concepts into implementation plans, technical architecture, and working software with clear measures of success.

Selected work

04 projects

The idea I'm exploring

A product should be more than tickets and documents.

Product intent is usually fragmented across presentations, requirements, design files, tickets, source code, and people's memories.

I'm exploring a different model: products represented as living systems of behavior, decisions, interfaces, and dependencies—understandable by both humans and AI.

The goal is not simply to generate more software. It is to help organizations change software without losing sight of what the product is supposed to do or why.

Elisha Terada

Experience grounded in building

Strategy informed by shipped work.

I'm a co-founder of Brancher.ai, used by more than 150,000 people, and Technical Innovation Director at Fresh Consulting.

Over 14 years, I've helped startups and enterprise teams explore emerging technologies, design digital products, build production systems, and move from uncertain ideas to practical outcomes.

I'm most useful when the opportunity is important, the path is unclear, and someone needs to connect business thinking with hands-on technical execution.

More about me

Recent writing

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Speaking and workshops

The changing nature of product development in the AI era.

Invite me to speak
  1. 01When building becomes cheap, deciding becomes the advantage
  2. 02From AI features to AI-native product systems
  3. 03Why product intent gets lost between strategy and execution
  4. 04Designing products for humans and agents
  5. 05Prototyping as a leadership and decision-making tool
  6. 06Governing AI without preventing innovation