§00The whole

Marshalling every phase of AI-augmented software development.

Intent, planning, code, verification, execution, and audit, under one governed runtime. Speeding up a single phase doesn't make the system faster; marshalling the whole does. No context leakage between handoffs. No coordination tax between tools. Engineers ship with leverage. Leaders ship with proof.

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01The three Cs

Three reasons agent output gets dramatically better in Majordomo.

i.Context

Agents that know what you're building

Every agent reads from one shared model: the research, the specs, the codebase, the production signals. No re-briefing. No context loss between stages. The work compounds instead of resetting.

ii.Control

Guardrails your team defines

Set the standards once — coding conventions, design tokens, review requirements, cost caps — and every agent across every stage operates inside them. You steer. Agents execute.

iii.Coverage

One workspace, end to end

Research, design, build, operations — four modes, one data model, one audit trail. The work flows through; nothing gets dropped at the seams.

02The handoffs are the bug

Most software lifecycles aren't lifecycles. They're relay races with dropped batons.

The pain

The research doc never makes it into the Figma frame. The Figma frame never quite matches the spec. The spec drifts from the implementation. The production alert can't be traced back to the design decision that caused it.

Every handoff is a place where context evaporates, intent gets re-interpreted, and the why gets lost.

Now multiply that by every agent your team adds. Each one starts cold, asks for the same context again, and produces work the next stage has to re-translate.

The fix

Majordomo replaces the handoffs with one continuous flow. A research insight in Muse becomes a brief in Studio. A Studio spec drives a Helm pipeline. A Chorus signal links back to the brief that started it.

Same data model. Same audit trail. Same context, all the way through.

Agents don't restart at every stage. Neither does your team.

The handoffs are the bug. Majordomo is the fix.

03Across every phase

From the first research question to the first production signal — one workspace.

Majordomo covers four stages most companies stitch together with four (or five, or seven) different tools. Each stage shares one data model with the next, so the work moves forward instead of starting over.

Research

muse

Briefs and evidence

ii.

Design

studio

Specs and roadmap

iii.

Build

helm

Pipelines and code

iv.

Operations

chorus

Signals and feedback

Every artifact traceable to every other.

04Inside the modes

A closer look at each stage — same data, four perspectives.

Below: what each mode does, what it produces, and how its output flows into the next without translation, re-briefing, or losing the why.

Brief an agent on a market, segment, or domain. Get evidence, not opinions. Muse turns deep research into durable artifacts — briefs, mental models, personas, journey maps — each one traceable to its source and ready to feed Studio without re-explanation.

Deep research

Multi-step agent investigations that return cited evidence, not summaries.

Knowledge artifacts

Briefs, personas, mental models, journey maps. Durable. Traceable.

Opportunity framing

Turn insight into a brief Studio can build from. No re-keying.

Closed loop with operations

Production signals from Chorus flow back automatically. The next cycle starts informed.

Studio is where intent gets specific: screens, data, features, flows, and timing. It reads directly from the Muse brief — no re-creation, no translation. The output is a spec Helm can build from and a roadmap your team can ship against.

AI-powered generation

Describe what you want or import what exists. Studio iterates with you.

Feature specification

What it does, who it's for, how you'll know it worked. Helm reads the same spec.

Roadmap planning

Visual sequencing. Designs and timing live together so the what and the when never drift apart.

Data modeling

Design the data alongside the UI. Defined once, consumed everywhere downstream.

Helm turns Studio specs, requirements, or an existing codebase into production-ready software through orchestrated AI agents. It reads the spec Studio produced — same source of truth, no re-interpretation. Pipelines you can see, guardrails you define, every run recorded and replayable.

Visible pipelines

Drag and connect agent nodes on a canvas. Watch them run live — inputs, outputs, decisions, cost. No black box.

Codebase-aware

Reads your repo's architecture and conventions before making changes, so output fits your codebase instead of fighting it.

Run history & replay

Every execution recorded. Compare runs, inspect decisions, replay failed steps without restarting.

Specialist agents

Researcher, Coder, Reviewer, Auditor, Refactorer, DocWriter — composed into the pipeline your work needs.

The moment you ship, the product starts talking back. Chorus brings users, sessions, services, and market signals into one place — and routes the important ones back to Muse, so the next cycle starts informed instead of from scratch. The loop closes here.

User feedback

In-app reactions, comments, sentiment. See what users love and where they struggle.

Session signals

Rage clicks, drop-offs, happy paths — surfaced automatically from real usage.

Service health

Uptime, latency, error rates for every deployed service.

Closed-loop insights

Important signals flow back into Muse and link to the briefs that originated them.

05Decision provenance

“Why is this in production?”Get the whole answer in one view.

Because every artifact in Majordomo lives under one data model, every shipped feature traces back automatically — to the Helm run that produced it, the Studio spec it implemented, the Muse brief that proposed it, and the Chorus signal that validated it. One click from production back to the original question.

For your auditors, your board, and the engineer who joined last week.

trace.jsonlive

Production feature

shipped

Helm run

that produced it

Studio spec

it implemented

Muse brief

that proposed it

Chorus signal

that validated it

See a live trace

§06For Enterprise

Built for the way enterprises actually ship.

Roll out Majordomo across your organization with the governance, observability, and support your teams — and your auditors — need.

Decision provenance, end to end

Trace any shipped feature back to the Helm run, Studio spec, Muse brief, and Chorus signal that produced it.

Audit-ready by default

Every action logged, timestamped, and attributed. Logs map cleanly to SOC 2 and ISO 27001 controls. Export for auditors when they ask — not when you scramble.

AI cost controls

Per-team budgets, per-pipeline caps, real-time spend visibility. Stop AI costs from being a quarterly surprise.

Centralized governance

Coding standards, design tokens, agent policies, and pipeline templates from a single source of truth. Push standards across teams without slowing them down.

SSO and access control

Integrate with your identity provider. Role-based permissions across research, design, build, and operations.

Dedicated support

Priority onboarding, custom integrations, and a direct line to the engineering team.

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