An engagement map

DecentraLabs Agency OS

How we'd engage with the spec you sent.

Prepared by Prutto · For Mohit Baliga · May 2026
Cover note

We read the spec.

We read the spec end to end. It is the cleanest brief any prospect has handed us in months. The three layers are right. The clone engine is the moat. The build-rule that no phase ships half-done matches how we work.

What we propose is not a different system. It is the system you specced, delivered, with the parts no spec ever catches built in from the start. Multi-tenant data isolation. Cost discipline on every generated output. A path for creative throughput that does not route every approval through a single person. The build, but operationally hardened.

We operate production-grade multi-tenant platforms at agency-OS scope. We use whichever model fits the job, and we hold a separate framework layer that survives tool churn. Our delivery runs on the same gate model you wrote into your spec: each phase ships usable, or it doesn't ship.

The engagement

Three phases. Each one gates the next.

Three phases, on the ladder your team already runs on. Audit before Architect, Architect before Accelerate. Each gates the next.

PHASE 015 to 7 days

Audit

Read the spec deeply. Surface what it does not yet name.

PHASE 022 to 3 weeks

Architect

Foundation built. Phase 0 delivered. Spec tightened for the build phases.

PHASE 038 to 10 weeks

Accelerate

The full build, with the operational parts of the spec hardened from day one.

Tier I

Audit

5 to 7 days · gates Architect

Before we touch a foundation, we audit the spec. Five to seven days, document-led, gates the rest of the engagement.

01★

Spec Audit and Risk Map

End-to-end review of the Agency OS spec with a documented gap analysis, ranked by operational risk.

What's in it
  • Full read of every module across the three layers, with annotations
  • Twelve gaps surfaced and ranked: security, cost discipline, throughput, voice integrity, content workflow, analytics, offboarding
  • One operational scaling risk that the current spec cannot resolve on its own (delivered live in the audit review)
  • Recommended Architect scope: which gaps fold into the foundation, which stay as Phase 2 work, which become longer-arc bets
  • Tightened phase plan with dependencies flagged before any build begins
Window

5 to 7 working days

Why this matters

The spec is good. The risk is what it doesn't name yet. The audit names it, ranks it, and turns the unknowns into decisions you can make before you spend a build cycle. The single operational ceiling the current design carries gets surfaced live in the review.

02

Stack Validation Pass

Independent review of your stack picks against the workload they will run.

What's in it
  • Pressure-test the frontend and data layer choices against the actual throughput the system will see at five, ten, and twenty active creators
  • Cost ceiling estimation across each AI tool category at projected creator count
  • Model and tool selection recommendation per workload (script generation vs hook generation vs DM assistant vs competitor analysis all carry different cost and quality profiles)
  • Notes on what to revisit if the team grows past current size or if creator count crosses key thresholds
Window

2 to 3 working days, runs alongside Spec Audit

03

Voice Capture Methodology

Method for extracting and storing each creator's brand voice so AI output sounds like them, not the team.

What's in it
  • Voice extraction protocol from intake call to written profile
  • Sample-content selection rules: what counts as a voice signal, what is noise
  • Versioning plan so the profile evolves as the creator's brand evolves
  • Quality calibration: how to test whether a generated script actually sounds like the creator before it reaches them
Window

Delivered as a working document inside the audit

Tier II

Architect

2 to 3 weeks · gates Accelerate

Foundation delivered. The parts you would have built first, built right the first time, with the audit findings baked in.

04★

Foundation Build with Tightened Spec

Phase 0 delivered, plus a tightened version of the Phase 1 to 3 plan that integrates audit findings.

What's in it
  • Authentication, role-based access, and the data layer set up with multi-tenant isolation enforced at the database level (not at the application layer)
  • The internal command centre shell live, with structure for every module you specced
  • Creator workspace template ready to clone, with the personalization fields wired through to the AI layer
  • Onboarding intake form complete, schema versioned, ready to scale past v1 as voice profiles evolve
  • Tightened phase plan that integrates the audit's twelve gaps into the right phase rather than leaving them as Phase 4 debt
Window

2 to 3 weeks from kickoff

Why this matters

Most agencies build Phase 0 and discover the security model and the data model needed a different shape four weeks later. The audit closes that gap before code goes down. You start Phase 1 on a foundation that survives ten times the creator count.

05

Clone Engine

The mechanism that turns a new client onboarding into ten minutes of work, not three days.

What's in it
  • Master workspace template cloned to new creator workspace on a single trigger
  • Personalized AI layer wired through automatically from intake data
  • Pre-populated sprint tasks appearing in the new workspace at clone time
  • Access link and onboarding flow that hands off to the creator the moment intake is signed
Window

Folded into the Foundation build, callable by week 3

06

Voice Profile Schema with Versioning

Storage and retrieval pattern for creator voice profiles that does not lock you into the version captured at intake.

What's in it
  • Versioned record per creator, every change tracked, rollback available
  • Calibration test inside the schema: a creator's voice profile gets validated against their actual content before it goes live
  • Migration plan when the brand voice extraction protocol evolves (and it will)
Window

Folded into the Foundation build

07

Approval Queue Plumbing

Plumbing for the human approval gate, designed so the eventual pre-review layer drops in without rework.

What's in it
  • Queue table, status workflow, approver routing built into the foundation
  • Notification surface for whoever holds the approval role
  • Hooks for the pre-review layer to attach later (when the moonshot bet activates)
Window

Folded into the Foundation build

Tier III

Accelerate

8 to 10 weeks · post-Architect

The full Phase 1 to Phase 3 build, with the hardening work that the original spec did not yet contain.

08★

Full Three-Layer Build, Hardened

Every module across the three layers, with the operational gaps from the audit fixed inside the build, not after it.

What's in it
  • Layer 1 in full: agency KPI surface, sprint tracker, team kanban, finance per-client roll-ups
  • Layer 2 in full: aggregated marketing, ops, and sales lenses across all creators
  • Layer 3 in full: per-creator KPI surface, task board, invoice, goal tracking, personalized AI tooling (scriptwriter, hook generation, DM assistant, competitor surface)
  • Multi-tenant data isolation enforced at the database level. Creator A cannot read Creator B's data even by accident
  • Per-creator cost controls on every AI tool, with budget alerts and overage caps
  • Approval flow live, with telemetry on review throughput and bottleneck signals
  • A/B infrastructure on the hook variants. Variants are not just generated, they are measured
  • Content asset workflow: where approved scripts live, how they reach the editor, how delivery gets marked
Window

8 to 10 weeks from kickoff, phase-gated

Why this matters

Your spec ends at the system. Our delivery ends at the system that runs at scale without quiet failures. The operational hardening (data isolation, cost ceilings, throughput visibility, content workflow) is in the build, not in the post-launch panic.

09

Gamification Layer

Internal leaderboards, streaks, badges, milestone unlocks. Competition culture, internal only.

What's in it
  • Creator leaderboard ranked by weighted KPI score, visible to the team only
  • Setter weekly ranking, reset Monday
  • Streak tracking for content output, outreach cadence, and clean delivery
  • Milestone unlocks that gate real operational changes (Phase 2 eligibility, ads launch readiness, hiring triggers)
Window

Built inside Phase 2 of the Accelerate window

10

Proof Asset Library

Documented wins per creator, tagged, verified, available wherever proof is needed.

What's in it
  • Upload, tag, verify workflow with sign-off
  • Auto-generation of a proof asset draft when a creator KPI crosses a milestone
  • Tagged retrieval for sales conversations, content, and creator onboarding decks
Window

Built inside Phase 2 of the Accelerate window

11

Client Health Signal

Automated flag when a creator engagement goes quiet, before it becomes a churn risk.

What's in it
  • Proof-asset cadence as the leading signal: seven days quiet turns the card amber, fourteen turns it red
  • Notification to the delivery lead at amber, escalation at red
  • Recovery workflow: a structured intervention rather than an ad-hoc one
Window

Built inside Phase 2 of the Accelerate window

12

Integration Layer

Live data replaces manual entry. Your CRM stays. The dashboards stop being typed up.

What's in it
  • CRM pipeline data flowing into the ops lens automatically
  • Content metrics ingested from each creator's primary platforms, no manual update required
  • Invoice export pipeline, downloadable, archived
  • KPI auto-population where the source data exists upstream
Window

Built inside Phase 3 of the Accelerate window

13

Operational Telemetry

Visibility on what's actually being used, by whom, and how the system is performing.

What's in it
  • Per-tool usage analytics: which AI surfaces creators actually open, which they ignore
  • Approval queue throughput numbers: average time-to-approval, queue depth, bottleneck signals
  • Cost-per-creator tracking on every AI surface
  • Quality scoring on generated output, sampled and reviewed
Window

Built across Phase 2 and Phase 3

Tier IV

Moonshots

Post-launch · partnership-scoped

Long-arc bets. Not in the original spec, not required for v1, but the highest leverage on the eighteen-month horizon.

14★

Pre-Review Approval Layer

An assistant trained on the historical approve and reject pattern of your principal approver, doing the first pass so the human only sees the close calls.

What's in it
  • Training set built from approved and rejected outputs across the first hundred to two hundred review decisions
  • Confidence scoring: high-confidence pass autoroutes for delivery, low-confidence routes to the human queue
  • Calibration loop: the assistant gets sharper every time the human overrides it
  • Audit trail on every autorouted decision, reviewable on demand
Window

Eight to twelve weeks once enough decisions are logged to train against

Why this matters

The current design has one operational ceiling that it cannot grow past without a different mechanism. The approval queue routes every creative output through one person. The system can scale to that person's review capacity, not to your creator count. The pre-review layer is the mechanism that breaks the ceiling without breaking the brand and quality function the gate exists for.

15

Mobile Surface

A mobile-first slice of the creator workspace, because creators live on phones.

What's in it
  • Mobile-optimized layout for the creator workspace, not a separate app
  • Push notifications for delivery readiness, milestone unlocks, leaderboard movement
  • Quick capture for proof assets the creator wants to log on the go
Window

Six to eight weeks post-launch

16

Auto Case Study Generation

When a creator's numbers cross a milestone, a drafted case study lands in the proof library, ready for sales.

What's in it
  • Trigger logic on KPI milestones
  • Drafted case study using the creator's actual numbers, brand voice, and verified results
  • Routes through the approval queue like any other output, surfaces in the proof library when approved
Window

Three to four weeks once the proof asset library is live

17

Agency OS as a Product

If the internal system proves out at twenty creators, the same primitives are saleable to other agencies running the same play.

What's in it
  • White-label layer designed in advance so the eventual external version is not a rebuild
  • Multi-org architecture with isolation that already passes the bar another agency would require
  • Pricing, packaging, and onboarding patterns designed against the experience you already have
Window

Quarter-scale planning conversation, not a near-term build

Where we'd start

Where we'd start

Audit first. Always. Five to seven days, document-led, gates everything after it. You see the gaps before you commit to a build cycle.

Architect second, with the audit findings folded into Phase 0. The foundation gets built once, on a tightened spec, with the operational layer ready for what comes next.

Accelerate third, on a foundation that survives. The build runs the same gate model you wrote into your own spec: each phase ships usable, or it does not ship.

Moonshots, when the system is live and the team has proof of what works.

Closing

Next step

A thirty-minute review call. We walk through the audit deliverable shape, confirm what is in and out of scope, and put a number on the engagement before we begin.

Prepared by Prutto · May 2026