Every product with a published durable application journey.
Design the journey that survives the request.
Select any journey-bearing Mappls product and receive its exact state-ownership boundary, aggregates, actors, lifecycle blueprints, runnable apps, source contracts, eight implementation controls, and production release gates.
132 states and 140 guarded transitions.
Detection and recovery remain part of the contract.
Runnable, downloadable evidence for every selected track.
Attribute every state to the system that owns it.
A stateless Mappls call can participate in a durable application journey. A provider-stateful product still does not replace your business aggregate, audit, or reconciliation model.
Provider + application state
Mappls exposes durable resources. Mirror provider identity and evidence while retaining an independent business lifecycle.
Hybrid state boundary
Request/response calculations coexist with sessions, workspaces, releases, or reviews. Persist both boundaries explicitly.
Application-owned journey
The Mappls boundary is stateless; consent, selection, inspection, and publication state belongs to the application.
AI & Location
AI & Location combines request/response capabilities with durable sessions, workspaces, releases, reviews, or agent runs. Persist the business journey independently from any one provider response.
- Aggregates
- agent run · vision evidence case
- Platforms
- REST · Web · MCP
- Authentication boundary
- Underlying product credential, held by the tool server
- Credential rule
- The planner accepts no credential, token, secret, precise location, media, or provider resource identifier.
Nine products. No hidden state ownership.
Every row resolves to complete journey, sample, tutorial, contract, and source evidence where the corpus establishes it.
1 verified apps9 states · 11 transitions
4 failure plans2 contracts · 1 guides
18 tutorials
3 verified apps27 states · 31 transitions
17 failure plans6 contracts · 10 guides
16 tutorials
3 verified apps18 states · 18 transitions
12 failure plans11 contracts · 10 guides
9 tutorials
1 verified apps8 states · 8 transitions
4 failure plans5 contracts · 2 guides
5 tutorials
1 verified apps7 states · 6 transitions
4 failure plans0 contracts · 3 guides
3 tutorials
2 verified apps17 states · 19 transitions
11 failure plans0 contracts · 7 guides
7 tutorials
1 verified apps7 states · 7 transitions
4 failure plans0 contracts · 0 guides
3 tutorials
2 verified apps15 states · 14 transitions
10 failure plans7 contracts · 3 guides
3 tutorials
2 verified apps24 states · 26 transitions
14 failure plans2 contracts · 9 guides
6 tutorials
Build the control plane around the API.
Each layer asks one design question, defines the implementation boundary, and names the proof required before production.
Identity and aggregate boundary
Use stable business and provider identifiers for agent run, vision evidence case; never infer identity from display text or the latest coordinates.
Actor authority
Authorize every command against the named journey actors: Application user, Agent planner, Human approver, Execution service, Mappls MCP server, Asset steward, Vision worker, Policy service, Independent reviewer, Privacy worker, Mappls SkyDNN API. Persist the attributable actor, tenant, purpose, and policy decision.
Commands and concurrency
Require a command idempotency key and expected aggregate version. Cache the canonical result, reject key reuse with different intent, and reconcile ambiguous timeouts before retry.
Evidence and durable records
Persist immutable receipts and revisions around these catalog records: Agent run, Plan manifest, Approval grant, Tool evidence, Grounded result, Vision case, Asset envelope, Model lock, Inference attempt, Review and retention, Audit and outbox. Keep event time, receipt time, source identity, hashes, and retention policy separate.
Events and side effects
Commit aggregate state, audit, and a transactional outbox together. Sign deliveries, bound retries, dead-letter exhaustions, and preserve delivery attempts without changing business history.
Recovery and reconciliation
Treat timeouts as unknown outcomes, poll or consume authoritative evidence, compare versions, append a reconciliation decision, and use compensation instead of destructive history edits.
Privacy and human control
Minimize precise location and media, scope retention, redact derived data deliberately, and require attributable approval for dispatch, publication, access, closure, and destructive change where consequential.
Operations and release
Expose state age, source freshness, stuck commands, retries, reconciliation lag, outbox depth, terminal outcomes, and per-aggregate audit. Roll out behind explicit acceptance gates.
AI & Location: every published aggregate.
Open the detailed state machine or run the linked full-stack reference application. Empty contract or guide collections remain visible as evidence boundaries—not invitations to invent behavior.
Governed spatial agent run
Turn a natural-language spatial objective into an inspectable plan, obtain an exact least-privilege approval, execute allow-listed Mappls tools, and cite provider evidence without exposing credentials to the model.
- States
- 7
- Transitions
- 6
- Failures
- 4
- Signals
- 7
Governed SkyDNN inference review
Lock an entitled model to an immutable asset identity, call the documented synchronous prediction boundary, validate geometry and confidence, require independent review, and redact derived detections on schedule.
- States
- 8
- Transitions
- 8
- Failures
- 6
- Signals
- 7
Start with exact contracts, then follow the journey.
7 endpoint contracts, 3 repository guides, 3 tutorials, 1 real-world solution blueprints, and 2 verified apps support this selected track.