Waypoint™ MVP Scope and Release Boundaries

1. Purpose

Waypoint™ is intentionally broad. This document defines a practical first end-to-end product boundary without converting the specification into implementation epics or Jira tickets.

The goal of the initial product is to prove:

A user can design a project, approve a generated plan, authorize autonomous execution, deliver a validated outcome, and understand/control the entire lifecycle from Waypoint™.

2. MVP philosophy

The MVP should be vertically complete, not horizontally exhaustive.

It is better to support one strong end-to-end development-project path than implement partial support for many providers without completing the lifecycle.

The architecture must remain project-type neutral even if the first automated adapters focus on software development.

3. MVP user journey

The initial release should support:

create a project;
describe an objective conversationally;
develop requirements/design documentation;
assess design readiness;
approve a Project Design Package;
generate an Execution Plan;
review phases/releases, epics, work, estimates, dependencies, streams, and worker forecast;
approve the plan;
materialize/synchronize work in Jira;
authorize execution;
dispatch work to at least one AI-agent runtime plus human work;
execute parallel work safely;
create source-control changes/PRs for a development project;
run required tests/validation;
capture evidence;
identify delivery readiness;
deliver through at least one automated provider path;
validate delivery;
record acceptance;
report the complete lifecycle in Waypoint™.

4. MVP Design Engine

Include:

project creation;
conversational discovery;
durable structured design state;
requirements;
scope/non-goals;
decisions;
risks/assumptions/open questions;
generated Markdown artifacts;
document revision;
readiness assessment;
Design Gate;
versioned Project Design Package;
planning handoff.

Defer/limit initially:

many specialized design-agent personas;
broad automatic cloud/repository inventory;
advanced multimodal diagram understanding;
large organizational template marketplace.

5. MVP Planning Engine

Include:

decomposition;
phases/releases;
epics/work items;
estimates;
dependencies;
streams;
sprint/timebox support;
capability requirements;
human/AI eligibility;
allocation forecast;
plan validation;
Plan Gate;
Jira materialization/reconciliation;
requirement traceability.

Defer/limit initially:

sophisticated ML estimate prediction;
portfolio-wide resource optimization;
complex multi-project dependency scheduling.

6. MVP Execute Engine

Include:

readiness service;
executable queue;
capability-based matching;
reservations;
durable execution runs;
at least one AI-agent integration;
human assignments;
parallel streams;
source-control workflow for development projects;
testing/validation;
evidence;
failure retry/reconciliation;
stall detection;
pause/stop;
actuals;
discovered bugs/work.

Defer/limit initially:

large heterogeneous agent marketplace;
advanced agent-team optimization;
autonomous cross-project worker balancing;
many infrastructure/data execution providers.

7. MVP Delivery Engine

Include:

delivery units;
Delivery Gate;
at least one automated delivery provider;
manual delivery steps;
post-delivery validation;
rollback model;
acceptance;
handoff evidence;
delivery reporting.

A strong initial development path could support Git-based promotion plus one deployment provider.

Defer/limit initially:

many cloud providers;
complex global rollout strategies;
advanced canary/traffic management unless needed by the first target.

8. MVP Worker model

Include:

human workers;
AI agents;
reusable agent profiles;
capabilities;
tools/environments;
capacity/concurrency;
assignment/reservation;
autonomy/permissions;
health;
basic cost telemetry.

Model agent teams, automations, and external-system workers in the domain, but advanced orchestration may follow after the first release.

9. MVP Governance

Include:

Design Gate;
Plan Gate;
execution authorization;
quality/review gates;
Delivery Gate;
Acceptance Gate;
roles/approvers;
approval version binding;
basic policy checks;
exceptions;
audit;
evidence;
pause/stop;
basic budget threshold.

Defer/limit initially:

highly expressive organization-wide policy language;
complex compliance packs;
advanced separation-of-duty matrices.

10. MVP Reporting

Include native dashboards and reporting APIs for:

project lifecycle;
pending decisions/gates;
hierarchy progress;
sprint/stream progress;
estimate versus actual;
active workers;
blockers/failures;
validation;
delivery readiness/status;
capacity/utilization;
audit timeline.

A separate sophisticated BI experience can evolve later, but the API and reporting projections belong in the MVP architecture.

11. MVP integrations

Required categories:

Jira;
Git/source control;
one AI-agent runtime;
one automated delivery provider;
authentication/identity;
artifact storage.

Strong candidates for later expansion:

additional agent runtimes;
Azure infrastructure;
additional cloud providers;
CI/CD providers;
Slack/Teams notifications;
BI connectors.

Specific provider selection should be made during implementation architecture planning.

12. MVP Control Plane

Include:

lifecycle state;
artifact/version registry;
gates/approvals;
worker/capability registry;
orchestration;
durable run state;
events;
audit/evidence;
reporting projections/API;
integration configuration;
reconciliation;
notifications sufficient for required human decisions.

13. MVP adaptive execution

Include:

structured execution discoveries;
automatic disposition for low-risk in-scope discoveries;
automatic Jira Task/Bug creation;
estimates, dependencies, sprint/timebox, and stream placement;
automatic execution when authorized;
baseline versus current-plan preservation;
reforecasting;
configurable gates for material changes;
reporting and audit of discovered work.

This capability is part of the MVP rather than a post-MVP optimization.

14. MVP UI

Minimum major surfaces:

project list/dashboard;
Design workspace;
document/artifact review;
Plan review;
execution control room;
worker/agent view;
decision queue;
delivery view;
reports;
administration/integrations.

The UI should make Waypoint™ usable without requiring constant navigation to Jira.

15. Documentation and developer quality

The Waypoint™ implementation should include:

maintained architecture/product documentation;
MkDocs Material site;
strict documentation build in CI;
PR template;
automated PR compliance checks;
source/work-item traceability;
clean branch/workspace procedures;
automated test requirements.

16. Release-boundary guidance

The planning process should derive exact releases, but a logical progression is:

Foundation

Canonical model, identity, integrations framework, project lifecycle, artifacts, events, reporting foundation.

Design

Conversational Design Engine and Project Design Package.

Plan

Planning Engine, Jira synchronization, estimates/dependencies/streams.

Execute

Worker registry, scheduler, agent integration, source-control execution, testing/evidence.

Deliver

Delivery provider, delivery gates, validation, acceptance.

Harden

Recovery, observability, security, performance, reporting depth, operational readiness.

This is guidance, not a mandated Jira release structure.

17. Post-MVP expansion

Likely expansion areas:

infrastructure project execution;
data-platform project execution;
multiple AI-agent providers;
advanced agent teams;
project templates;
reusable organizational skills;
portfolio planning;
predictive estimates;
advanced cost optimization;
policy packs;
richer reporting/BI;
additional delivery providers;
cross-project dependency/capacity management.

18. MVP success criteria

The MVP succeeds when an owner can complete one realistic project end-to-end with:

durable design artifacts;
approved plan;
Jira synchronization;
autonomous and human execution;
parallel work;
evidence-based completion;
controlled delivery;
acceptance;
reporting;
audit;
recovery from at least representative execution/provider failures.

The demonstration should prove the lifecycle, not merely individual screens or integrations.