Mission control for building with AI.
Scope it, hand it to your agent, and stay in command as the build moves.
Scope Architect is a founder-built platform I designed and shipped end to end — brand, marketing site, product UX, and the orchestration layer underneath. It turns a raw idea into an agent-ready plan, hands work to coding agents over MCP or cloud sandboxes, and keeps every task, token, and PR visible in a shared Command Center.
• Problem
AI coding sessions lose context, drift silently, and leave you flying blind
Chat forgets everything the moment the session ends. The thread breaks between the idea and the shipped code. You re-explain the project every time you open a new tab. Agents build out of sight — and you find out about bad decisions after the merge.
The durable problem isn't writing code faster. It's keeping a structured plan, shared context, and live execution state in one place — for you and your agent.
• Pivot
V1 productized agency scoping. Usage taught me where the real problem lived.
The first version of Scope Architect turned discovery notes into scoped projects and client proposals — the workflow I'd run for eighteen years of agency work. That product became Capsole, the agency operating system.
What stuck was the structured scope itself: the layer both human and agent could build from. I repositioned Scope Architect as mission control for building with AI — scope engine, MCP handoff, cloud sandboxes, and a Command Center that surfaces every task, token, and PR as the build moves.
• Scope Engine
From a raw idea to an agent-ready plan in minutes
Dump messy notes or a full brief. Import a Git repo so the scope grounds in your real stack. The engine assembles modules, features, and atomic tasks — each with acceptance criteria — before a single line of code is written.
Architect Chat lets you refine the scope in conversation: preview diffable change plans and apply them in one click. Three scope modes — project, module, feature — so you can zoom in or out without losing the thread.
• Command Center
One view of every task — human and agent
Hand off via MCP, copy a task-ready prompt, or dispatch to a cloud sandbox. All three paths read the same live plan. Statuses, blockers, comments, and agent activity update in real time — nothing happens out of sight.
When an agent hits an edge case, it flags the task, comments in the workspace, and pauses until you unblock it. Token usage and spend are tracked per operation so you stay in control at AI speed.
• Platform
MCP handoff, cloud sandboxes, context that persists
Connect once with @scope-architect/mcp — your agent reads the live plan and writes back as it builds. Dispatch a task to a dedicated cloud sandbox; Claude Code or Codex builds it and opens a PR with no local setup.
Context blocks and durable memory keep the project brain between sessions. BYOK across Anthropic, OpenAI, Google, xAI, and DeepSeek. Builder profiles, preset libraries, GitHub grounding, and token analytics — all behind one workspace.
• Brand & Marketing
A marketing site built to earn trust from technical buyers
The site walks builders from the problem — context loss, flying blind — through the Scope Engine, Command Center, and platform layer. Bento grids and coded UI mockups show real product surfaces, not stock illustration.
Every section defuses a specific objection: is this real, does it work with my stack, can I stay in command. The visual language is calm and technical — architectural precision without cold enterprise blandness.
• Outcomes
Build at AI speed without losing the thread
A raw idea becomes an agent-ready plan in minutes. Three handoff paths — MCP, prompt copy, cloud sandbox — all read from the same source of truth. The workspace stays in command, not the chat window.
Launching now at scopearchitect.com. This is the product I'd point a hiring manager to when they ask what I ship solo — brand through production, with AI orchestration that technical reviewers can actually evaluate.
• For your team
What this demonstrates in a product org
I design agent-native UX where structured output matters — scopes agents can execute, not prose that dies in a doc. I ship dev tooling that technical buyers trust on first scroll.
Inside a team I bring the same ownership: close to engineering, fast on AI-native features, and direct about tradeoffs. Ask me to walk through Scope Architect on a live project — that's the interview.
