"I have capabilities. I want Alexa+ to discover them."
Agent Relay
"I have an agent. I want Alexa+ to hand off to it."
Step 1 · Connectexpand_more
Step 1 · Connect · API
"I need to know my service is reachable before I invest anything."
Auto-detect enables instant connection. The developer verifies the result, rather than configuring.
Agent DecisionSystem auto-detects the service connection and surfaces the result without developer input.
Human ReviewDeveloper verifies the detected connection result before proceeding.
If this failsHigh friction and ambiguous output causes abandonment.
MitigationAuto-detect gives immediate feedback. If connection fails, developer is provided with a temporarily inferred scaffold to continue work.
Step 1 · Connect · MCP
"I need this system to discover what my tools do so I do not have to explain each one."
The system reads the tool manifest and surfaces what it found — shifting the mental model from "configure" to "confirm."
Agent DecisionSystem reads the tool manifest and infers what the tools do. It then generates a structured summary.
Human ReviewDeveloper confirms or updates the inferred tool summary before it is established as the foundation.
If this failsAuto-discovery fails and burdens the developer with manual work.
MitigationSystem shows exactly what was found before asking the developer to do anything, making partial discovery visible and recoverable.
Step 1 · Connect · Relay
"I need to establish CX boundaries so Alexa+ knows when to hand off and take back tasks."
The system maps partner and Alexa+ agent scope and handoffs.
Agent DecisionSystem generates scope suggestions, providing a starting point the developer can accept, adjust, or override.
Human ReviewDeveloper must approve or negotiate the scope direction before proceeding. CX requires explicit sign-off.
If this failsScope is undefined or erroneously inferred, making every downstream step harder to validate.
MitigationScope suggestions are provided, and developer must approve or negotiate direction before proceeding.
↓
Step 2 · Buildexpand_more
Step 2 · Build · API
"I need this system to understand my service well enough to call it correctly without manual intervention."
Capabilities are auto-surfaced for review — the job is validation, not data entry.
Agent DecisionSystem auto-surfaces capability mappings, without requiring manual data entry.
Human ReviewDeveloper explicitly approves each capability and detected value. Where mapping is not possible, the developer works from an inferred scaffold rather than starting from scratch.
If this failsFalse positives result in downstream defects, requiring wasted development work.
MitigationDeveloper explicitly approves mapping of capabilities and detected values. If they cannot be mapped, the developer is provided with a temporarily inferred scaffold to continue work.
Step 2 · Build · MCP
"I need to map how people phrase requests to what my tools enable, and catch gaps before they become routing errors."
A visual intent-to-tool mapper surfaces routing gaps before anything is live.
Agent DecisionSystem maps intents to tools visually and flags routing gaps. It provides suggestions to close the gaps.
Human ReviewDeveloper resolves flagged gaps before advancing. Where mappings cannot be completed, the developer is provided with an inferred scaffold to continue work.
If this failsIncomplete mapping results in unintended invocation of tools.
MitigationUnmapped intents are flagged before the developer can continue. Developer is provided with a temporarily inferred scaffold to continue work.
Step 2 · Build · Relay
"I need to set the exact conditions for handing off and taking back CX to ensure brand compliance."
Trigger conditions and handback rules are set visually, not buried in code.
Agent DecisionSystem visually maps and identifies routing gaps. It provides suggestions to close the gaps.
Human ReviewDeveloper validates or updates trigger conditions and handback rules.
If this failsHandoff triggers are ambiguous or missing, causing loops or dead ends in CX.
MitigationTrigger conditions must be mutually exclusive and complete before saving.
↓
Step 3 · Simulateexpand_more
Step 3 · Simulate · API
"I need to evaluate whether the data yielded the intended response."
Surfaces failure modes quickly and provides a simple way to fix issues.
Agent DecisionSystem runs the simulation and generates response output and evaluation for review.
Human ReviewDeveloper evaluates both the data response and the voice experience, deciding whether to proceed or fix data or CX issues.
Dev failureThe experience passes but the integration silently returns stale or malformed data.
MitigationResponse diff view shows actual vs. expected output on every run, surfacing silent data issues immediately.
CX failureResponse is technically correct but Alexa+ delivers it in a way that sounds robotic or off-brand.
MitigationDeveloper can see and hear the experience and refine it before advancing.
Step 3 · Simulate · MCP
"I need to evaluate a routing decision to ensure Alexa+ correctly interprets real user phrasing before I lock in this mapping."
Developer tries real phrases and sees which tool gets selected.
Agent DecisionSystem generates conversation variants to demonstrate tool selection and routing outputs. It interprets coverage gaps and proactively suggests optimizations.
Human ReviewDeveloper judges whether the tool selection is correct for conversational intent and whether the response meets the quality bar. They can update tool or routing specifications if needed.
Dev failureTools are either missing or erroneously selected. Edge cases are not identified, causing downstream defects.
MitigationSuggested phrase variants are provided, covering common rephrasings without exhaustive manual testing.
CX failureStochastic response is generated but does not meet the customer response quality bar.
MitigationCX issues are flagged as a prompt to revisit response copy in the previous step.
Step 3 · Simulate · Relay
"I need to walk a conversation through the handoff and catch where the experience breaks down."
A turn-by-turn simulator with visual handoff markers lets developers probe edge cases before testing at scale.
Agent DecisionSystem generates customer interactions, triggers handoffs when conditions are met, and flags CX discontinuity between Alexa+ and the agent.
Human ReviewDeveloper inspects the information passed at the handoff point and evaluates whether the CX transition is acceptable. They can update context or handoff phrasing if needed.
Dev failureHandoff triggers fire correctly but the agent receives incomplete context. Conversation breaks down immediately after transfer.
MitigationThe information passed at the handoff point is shown. Developer can inspect and update.
CX failureHandoff is technically complete but the customer experience is suboptimal.
MitigationFlag CX discontinuity between Alexa+ and the agent, prompting the developer to make updates before advancing.
Scope Transition Point
Release Lifecycle Experience
↓
Step 4 · Test
"I need a documented, repeatable result I can use to make a go/no-go decision."
↓
Step 5 · Certify
"I need external validation that my integration meets the bar before it goes public."
↓
Step 6 · Deploy
"I need to learn from real traffic without betting everything at once."
↓
Step 7 · Monitor
"I need to know something is wrong before my users do."