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Solutions/AI-First Teams

Humans, agents, one source of truth.

When your team ships code with humans and AI agents in the loop, you need a shared planning layer. Scope Architect coordinates work between teammates and agents — atomic tasks, statuses, agent-ready handoffs — built for AI-augmented engineering.
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TEAM_VELOCITY_OS
Estimated_Effort
64 tasks
Status
PARSING DISCOVERY INTENT
Coordinated Builds

Plan once. Ship in parallel.

Multiple humans, multiple agents, one plan. Scope Architect maintains a shared spec layer so engineers and their AI agents can work in parallel without stepping on each other — task-level locks, statuses, and agent-handoff exports tuned per agent.
  • Per-task status & ownership
  • Multi-agent compatible exports
  • Real-time team collaboration
  • Builder Profile per team
ENGINE_ACTIVE: CODEBASE_SCAN
Target: "Multi-tenant SaaS Platform"
↳ Analyzing module: Auth & Sessions
↳ Analyzing module: Billing & Webhooks
⚠ Missing rate-limit coverage
DEFINING PROJECT SCOPE... 91%

Coordinate humans and agents in one workflow.

When some tasks are owned by your team and others are owned by AI agents, you need a shared plan. Scope Architect is the source of truth.

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AI Scope Decomposition

Drop in a product brief and let the engine decompose it into modules, features, and atomic, agent-ready tasks.

Interactive Planning Chat

Use Architect Chat to map out complex builds across services, apps, and infrastructure in a single thread.

Recursive Scope Expansion

The engine drills down into every sub-task, from API contracts to edge cases and error handling.

PROJECT_ROOT
↳ Auth_Module
↳ Billing_Webhooks

Shared task graph

Every task in the project has explicit dependencies, status, and owner — human or agent. Nobody steps on each other; nothing falls through.

FRONTEND
API_LAYER

Infrastructure Mapping

Identify and scope the technical plumbing (auth, queues, CI/CD) a feature needs before it can ship.

<script>
queue.process('jobs');
</script>

Scope Revisions

Every applied change is versioned. Compare revisions and roll back, so the plan stays trustworthy as it evolves.

REVISION_12
ID: REV_9921_X
SAVED

Tech Stack Blueprints

Map out the exact stack of services, databases, and third-party integrations the build requires.

API
DB

Precision Effort Estimator

Eliminate guesswork with AI-driven sizing on every atomic task — calibrated to your team's Builder Profile.

ESTIMATED EFFORT
112 hrs
64 tasks × XS–XL sizing
Total Effort
112 hrs
112 raw
Timeline
3 wks
Risk Buffer
+0%
Complexity
1.00×

Built for AI-first teams.Plan together, ship in parallel, and let your agents do what they're best at.

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DELIVERABLES

Builder View. Agent Handoff. One Engine.

The full engineering surface for your team. A clean, self-contained spec for each agent. One plan, every collaborator — human or AI — sees the right slice.

  • Status-tracked atomic tasks
  • Agent-tuned exports per task
  • Real-time team collaboration
  • Per-team Builder Profile
Builder View

The Team Surface

Full status, complexity, and ownership across humans and agents. Pick a task, assign to a person or pipe it directly to your agent.

PROJECT_BLUEPRINT_03
MODULE
Auth & Sessions
10h Build / 4h Review
MODULE
Billing & Webhooks
12h Build / 4h Tests
MODULE
Background Jobs
Synthesizing...
Agent Handoff View

Agent-Ready Spec

A clean, self-contained spec optimized for Cursor, Claude Code, Devin, or Windsurf. The agent gets exactly what it needs to ship — no internal coordination noise.

SaaS Platform Build
Phase 1: Foundation
Hardening auth, data model, and CI so every later feature lands on solid ground.
Phase 2: Scale
Parallel feature delivery across modules, with agents picking up agent-ready tasks as they unblock.
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One workspace for the whole loop.

Scope with AI, refine with your team, hand off to your agents, and monitor the build, all in one structured surface.

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