Build approach

Building DecentraLabs Agency OS

How we'll build it. What we'll add. What we'll build beyond.

Prepared by Prutto · For Mohit Baliga · May 2026
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What we read

Your spec is the cleanest brief we've seen in months.

The three layers are right. The clone engine is the moat. The build rule that no phase ships half-done is exactly how we work.

You wrote it yourself: "every feature must either surface a decision faster, reduce a manual hour, or make a creator feel their workspace is built specifically for them. Nothing gets built that doesn't meet at least one of these." That's the gate. We're keeping it.

The twelve-gap analysis you're holding was the audit. This document picks up at the build. The system you specced, delivered. The parts no spec catches, built in from the start. And a layer of bets on top that turn DecentraLabs from the agency that runs the play to the agency that defines it.

The build approach

How we actually run.

Same gate model you wrote into your own spec. Each phase ships usable or it doesn't ship. No half-built modules. No moving the goalposts.

01

Weekly Friday Loom

Every Friday: a recorded Loom plus a written summary of what shipped. If something needs discussion, we hop on a call. The Loom is the default; the call is on-demand.

02

Acceptance windows in writing

Every milestone delivered with named acceptance criteria and a clear deadline. Seven business days to flag issues. Silent means accepted. No ambiguity.

03

Async-first communication

Dedicated channel, response inside four business hours. Looms instead of meetings for demos. Calls only when text loses the thread.

04

Friday vendor review

Every external service the system touches gets a status check, every Friday. Status drift surfaces before it becomes a blocker.

05

The last twenty percent gate

Handoff doesn't begin until docs, runbooks, training, and zero P0 bugs are 100% green. We don't ship to eighty percent and call it done.

Additions to your spec

What we'd build in that the spec doesn't yet name.

Your spec ends at the system. Production-grade multi-tenant work needs more than the system. These additions live inside the build, not as post-launch debt.

= anchor offer
01

Multi-tenant data isolation, enforced at the data layer

Creator A can't read Creator B's data even by accident. Isolation lives in the database, not in application logic. The system survives the moment one creator's workspace gets compromised without touching the others.

02

Cost discipline on every AI surface

Per-creator budget caps. Overage alerts before the bill arrives. Cost-per-workspace visible in your command centre. The scriptwriter and hook generator don't quietly burn five thousand dollars a month while you weren't looking.

03

Pre-review approval layer (plumbed Day 1, activated later)

Your approval queue routes every AI output through one person. That ceiling is real. We plumb the hooks for an assistant that does the first pass once enough decisions are logged to train against. The mechanism that breaks the throughput ceiling without breaking the brand-and-quality function the gate exists for.

04

Versioned brand voice profiles

Creator voice evolves. So should the profile that trains every AI surface. Every change tracked, rollback available, calibration test built in. The profile from Day 1 doesn't haunt you on Day 180.

05

Measured hook variants

Your hook generator produces variants. Without measurement, that's a stylistic gesture. We instrument it so the variants are A/B tested and the winners feed back into the next generation.

06

Content asset workflow past approval

Your spec ends at "approved." The actual workflow ends at "shipped." We build the next four steps: where the approved script lives, how it reaches the editor, who marks it delivered, where it counts toward content velocity.

07

Automated case-study generation

When a creator's numbers cross a milestone, the proof-asset draft writes itself. Routes through your approval queue like any other output, ships into the proof library when approved. Sales materials maintain themselves.

08

Operational telemetry

Which AI surfaces creators actually use. Which they ignore. Approval queue throughput, bottleneck signals. The data that tells you which parts of the system are worth investing further into and which to retire.

Beyond your spec

The bets that turn DecentraLabs from agency to category.

Not required for v1. Not in your spec. The features that would make your system the reason creators sign with you over the competitor running the same play.

B1

Weekly Creator Analysis

Every Monday, a one-page synthesis per creator.

Content output, KPI movement, top-performing hooks, content themes that worked, content themes that didn't. Delivered to your team automatically. Replaces three hours of manual review per creator per week with thirty seconds of reading.

B2

Monthly Creator Retrospective

Deeper. Month-over-month trends, cohort context, strategy recommendations.

Where the creator was a month ago, where they are now, what changed, what to double down on, what to retire. Used in monthly creator calls instead of being prepared for them.

B3

Predictive Signals

Churn risk and breakout opportunity, before they're obvious.

Declining engagement velocity, content-cadence drop, conversation-quality drift. Catches churn risk at week one instead of month two. Flips to opportunity signals when a creator's numbers are quietly compounding. You see the inflection point at the inflection point, not after it.

B4

Cross-creator pattern surfacing

When a hook works for one creator, the system routes it to same-niche others.

Same niche only. Privacy preserved across creators. The trading creator's breakthrough hook becomes the next trading creator's starting point. Compounds the value of the existing portfolio every month new creators sign.

Plus what we'd explore in retainer
  • Voice drift detection — alert when a creator's content starts diverging from their captured voice
  • Cohort intelligence — privacy-safe roll-ups across all DL creators, surface what's working at the platform level
  • DM pattern library — converting DM templates per niche, learned from your own setter data
  • Setter performance prediction — given current activity, project end-of-week pipeline
  • Content calendar intelligence — optimal posting times per creator from their audience activity
The shape of the build

One month. Four weekly iterations. Then a month on us.

The full system ships in four weekly iterations across one month. Each week ships usable. You use it, tell us what worked and what didn't, we fold it in by the next Friday Loom. After the build month closes, one additional month of free maintenance — no new build, just polish, bug-fixes, and load verification while you put the system through real production.

Days 1 to 7

Week 1 — Foundation iteration

Data isolation enforced at the data layer, master workspace template, clone engine, voice profile schema with versioning, approval queue plumbing, L1 command-centre shell, scriptwriter and hook generator live in a test creator workspace. First Friday Loom + first feedback cycle.

Days 8 to 14

Week 2 — Core iteration

Layer 1 modules complete, Layer 2 sales lens, Layer 3 KPI tracker, task board, invoice generator, DM assistant in creator voice, competitor surface. Three to five creators onboarded onto the live system. Second Friday Loom + second feedback cycle.

Days 15 to 21

Week 3 — Integration iteration

CRM pipeline sync, content metrics ingestion, invoice export, MRR auto-calc, A/B infrastructure on hooks, gamification layer, proof asset library, client health signal. Third Friday Loom + third feedback cycle.

Days 22 to 30

Week 4 — Handoff iteration

Operational telemetry live, runbooks for top operations, two training sessions recorded, full Loom library indexed in your workspace, zero P0 bugs, credentials transfer initiated. Full system handed off. Fourth Friday Loom + final build-month feedback cycle.

Days 31 to 60
On us

Month 2 — Free maintenance

On us. No new build. Bug fixes, polish, optimization, training reinforcement, runbook updates. You put real production load on the SaaS and we make sure it holds. Retainer activates at the end of this month — or doesn't, your call.

Weekly checkpoints

Where you'll be every Friday.

Concrete deliverables at concrete dates. Each week ships usable, you give us feedback, we fold it in by the next Friday Loom. You always know what "on track" looks like.

Friday W1
Iteration 1

Foundation iteration shipped. First feedback in.

  • Multi-tenant data isolation enforced at the data layer
  • Master workspace template clones to new creator workspaces on a single trigger
  • Onboarding intake live, voice profile schema versioned from day one
  • L1 command centre shell live with manual data entry
  • Scriptwriter and Hook generator live in a test creator workspace, approval queue routing
  • First Friday Loom + written summary. First feedback folded into Week 2.
Friday W2
Iteration 2

Core iteration shipped. Second feedback in.

  • Two of three layers fully functional
  • Layer 1 modules complete, Layer 2 sales lens live
  • DM assistant generating in creator voice, competitor surface with weekly refresh
  • Invoice generator live, task board active per creator
  • Three to five creators onboarded onto the live system
  • Second Friday Loom. Second feedback folded into Week 3.
Friday W3
Iteration 3

Integration iteration shipped. Third feedback in.

  • CRM pipeline data flowing into Layer 2 ops lens
  • Content metrics ingested from each creator's primary platforms
  • Invoice export and MRR auto-calculation live, no more manual finance spreadsheet
  • A/B infrastructure on hook variants measuring what wins
  • Gamification layer running, proof asset library active, client health signal flagging
  • Third Friday Loom. Third feedback folded into Week 4.
Friday W4
Iteration 4

Full system shipped. Handoff complete.

  • Operational telemetry live across every AI surface
  • Runbooks for top operations written, indexed in your workspace
  • Two training sessions recorded, full Loom library handed over
  • Zero P0 bugs, credentials transfer initiated
  • Final build-month Friday Loom. System ready for real production load.
On us
End of Month 2

Free maintenance complete. Retainer call.

  • One full month of polish and bug-fixes under real production load — on us
  • Zero open P0 / P1 issues from real usage
  • Runbook updates reflecting what actually broke and how we fixed it
  • Final retainer conversation: continue with Prutto on retainer, or take full ownership. Your call.
How you'll see it

Visibility, not status reports.

You won't have to ask where we are.

01

Friday Loom

Two-minute recorded walkthrough of what shipped this week. Posted to your channel. Watch on your time.

02

Written status doc

Single page, updated weekly. What shipped, what's next, what's blocked, what changed in the vendor matrix.

03

Live progress dashboard

A page you can open any time. Current phase, next milestone, blocked items, what we need from you. Single URL. No login dance.

04

Mid-week Looms

Unsolicited two-minute updates when something interesting ships. No meeting required.

05

Dedicated channel

Slack or Discord. Four-hour business response time. Async-first.

Why us

Frameworks, not tools.

Most agencies pitch the model. We don't. The model is interchangeable horsepower. The frameworks survive tool churn.

We operate production-grade multi-tenant platforms at agency-OS scope. Built and run, not slideware. The gap analysis on your spec is the proof we read it deeply. The additions live inside the build because we've seen these patterns fail in production before.

You wrote a clean brief. We're the team that makes the clean brief land.

Next step

Book the kickoff call.

Thirty minutes. We walk through the engagement structure, confirm what's in and out of scope, and put a number on the work before either of us commits.

Prepared by Prutto · For Mohit Baliga · May 2026