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Experience Engineering · EE-5

Agent-Ready Experience Design

A design for an experience layer that serves both human buyers and agent buyers — without forcing a choice between them. We audit the current experience, design the structured capability surfaces agent interactions require, specify the API contracts and schema structures that make those surfaces machine-readable, and produce an implementation roadmap that delivers agent readiness without disrupting the human experience that drives current revenue.

The Situation

A CTO or VP Digital understands that autonomous software agents interact with commerce systems through entirely different mechanisms than human browsers — agents need deterministic, structured, machine-readable capability surfaces, not persuasive copy or navigation hierarchies designed for human cognition. The current experience layer was designed for human buyers; nobody has designed the agent interface. The question is not whether to build one, but how, without rebuilding the entire experience layer or disrupting the revenue-generating human experience.

The Value

By designing the agent-ready experience layer as a parallel capability surface rather than a replacement for the human experience, this engagement resolves the apparent either/or tension — a concrete design for which surfaces to build, how they are structured and versioned, and an implementation roadmap that delivers early value before the full capability surface is complete.

How It Works

  1. Current Experience Layer Audit — structured data, API surfaces, and machine-readability assessed from an agent-interaction perspective.
  2. Agent Interaction Pattern Analysis & Capability Surface Design — relevant agent interaction patterns analyzed and a capability surface designed, drawing on MCP and UCP frameworks.
  3. Schema Design & API Contract Specification — structured data schema and API contracts specified, with a human/agent experience divergence map.
  4. Implementation Roadmap — near-term wins, mid-term capability build, and long-term agent-native operational model sequenced.

What You Get

DeliverableDescriptionValue to You
Experience Layer Audit ReportCurrent-state assessment of structured data, API surfaces, and machine-readabilityThe gap baseline for the design work
Capability Surface InventoryDefined capability surfaces required for relevant agent interaction patterns, with priority and rationaleThe demand-side design of what agent buyers need to interact with your system
Structured Data & Schema DesignSchema extensions and product attribute structures for machine-readable capability surfacesThe data layer foundation every agent interaction depends on
API Contract SpecificationsDetailed request/response, versioning, error-contract, and idempotency designs for agent interactionsA technical specification engineering teams can implement directly
Implementation RoadmapSequenced build plan with near/mid/long-term phasesThe primary execution artifact — what to build, in what order

Typical Duration

4–6 weeks. An organization with a prior readiness audit and an API-first, documented platform completes in 4 weeks. Organizations without prior agent-readiness work, or with tightly coupled front-end/back-end architectures, typically require 6 weeks.

Why Now

The experience layer is where agent buyers interact first — an experience layer without a designed capability surface is invisible to them, not adversarially rejected, simply not legible. Agent discovery systems learn which vendors are reliable and structured over time, so building this early reputation now, before agent traffic is significant in the analytics, is how the advantage is established.

Grounded in Real Experience

Grounded in Tony’s published research on capability surfaces and agent-native commerce — the same framework this offer applies as design methodology, not just theory.

Ready to Talk?

Schedule a call to discuss whether Agent-Ready Experience Design is the right starting point for your organization.

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