From $497 · One-time10 quality gates20 modules0 monthly feesSystem operational

Quality-gated drafts.
Ready for operator review.

An operator-owned content pipeline with ten explicit quality gates, distinct voice profiles, scheduled delivery, and evidence-backed calibration recommendations.

+ Instant access+ No subscription+ Lifetime updates
10Quality gates / post
20Modules · 3 phases
100+Accounts in production
$0Monthly subscription
Extracted fromA live operation, not a startup deck
Quality control10 gates · explicit thresholds · surgical fixes
Operator controlReview · approve · schedule
Built byRuslan Galba · @iamgalba
FIG.01Example output galleryScored against the gate rubric

What quality-gated drafts look like.

Illustrative setSampled from production · anonymized
Pipeline/write-tweet·10 gates per post·4.3s average generationVoices12 anonymized·6-dim fingerprint each·tol ±0.6
02 · The belief

The bottleneck was never writing speed.

Language models can generate text quickly. The harder problem is quality architecture - a repeatable system for checking voice, evidence, density, format, and audience fit before content reaches an audience.

Without explicit criteria, review becomes subjective and inconsistent. A fast draft can still require substantial judgment, revision, and source verification.

Draft Protocol makes those decisions inspectable: measurable gates, a documented voice profile, outcome collection, and operator-reviewed calibration recommendations.

You are not buying a promise of outcomes. You are buying an inspectable operating system.
- The case for explicit quality controls
03 · The pipeline running

One command. Every stage visible.

An illustrative run, top to bottom - research, draft, ten gates, surgical fix, and an explicit operator review boundary.

~/draft-protocol - zsh - 116×36
Operational
PIPELINE TIME0.0sGATES10 evaluatedSTATUSrunning…
FIG.02 · /write-tweet · topic Google Ads attributionCaptured 09:14:03 UTC · generation #18,441
04 · The system
Ten quality gates. One surgical pipeline.
The workflow checks each draft against all ten thresholds and routes failures to a targeted fix before operator review. A measured score informs the decision; it does not replace judgment or source verification.
FIG.03 · Example scorecard
9 / 10 pass · 1 surgical fix applied
01
11.5
02
5
03
9.4
04
4.2
05
7.8
06
8.7
07
9.1
08
6.4
09
9.5
10
9.2
Pass (≥ threshold)Surgical fix triggeredAssignment lock · draft · authority · density · aesthetic · visual · entertainment + hook · sales · final
Gate 01Pass
Pre-Insight Development
11.5≥ 11/15
Gate 02Pass
Assignment Lock
55/5 locked
Gate 03Pass
First Draft Validation
9.4≥ 9/11
Gate 04Pass
Authority Markers
4.2≥ 4/5
Gate 05Pass
Information Density
7.8≥ 7/10
Gate 06Pass
Aesthetic Writing
8.7all checks
Gate 07Pass
Visual Content Check
9.1decision made
Gate 08Pass
Entertainment + Hook Check
112ch≥ 6/10 + ≤ 120ch
Gate 09Pass
Sales Page Conversion Architecture
9.5product only
Gate 10Pass
Final Quality Check
9.2≥ 8/10
05 · Voice fingerprint
Six dimensions. Calibrated, not guessed.
Voice is the thing AI gets wrong. We measure six dimensions, calibrate against samples you write, and validate every generated post hits its fingerprint within tolerance.
Voice fingerprint radarSentence RhythmContraction DensityDirect AddressSignature PhrasesConfidence ToneConversational Warmth
Calibrated profileBaseline (65%)
FIG.04 · Voice fingerprint - @iamgalba vs. baseline
Calibrated profile
@iamgalba
  1. 01
    Sentence Rhythm
    Measured short, medium, and long sentence patterns.
    9.2 / 10
  2. 02
    Contraction Density
    Contractions per 100 words, calibrated to natural formality.
    8.8 / 10
  3. 03
    Direct Address
    Measured use of you, your, and you're by content format.
    7.8 / 10
  4. 04
    Signature Phrases
    Natural openings, transitions, emphasis markers, and closers.
    9.5 / 10
  5. 05
    Confidence Tone
    A calibrated assertion level that preserves credible nuance.
    8.4 / 10
  6. 06
    Conversational Warmth
    Parentheticals, acknowledgments, and shared-experience markers.
    9.1 / 10
Three reference profiles
06 · The architecture
Six stages. One explicit review path.
The architecture separates research, generation, evaluation, scheduling, measurement, and operator-reviewed calibration. Click any stage to inspect its role.
Stage 03 · 10 gates
Gate.
Pre-insight validation, authority markers (4+/5), information density (tweets 8+/10; long-form 7+/10), hook validation (under 120 chars), viral potential (8+/10). If a piece fails, surgical fix protocols target the specific weakness.
SourcesQuality system · surgical fixes
Outputgated.md + scores.json
StatusOperational
07 · What ships
Twenty modules. Three phases. One system.
The Blueprint is the spec for all twenty. The Full System ships them as runnable Claude Code commands. There is no login page. No monthly subscription. No "we're sunsetting this product" email in eighteen months.
Module 01architect
Claude Code Setup & Command Architecture
Project layout, CLAUDE.md, command routing. 18 commands pre-configured.
Module 02architect
Voice Calibration & Config System
6-dimension calibration. Worksheet + measurable voice config.
Module 03architect
Quality Gates Architecture
10-gate system. Each gate has thresholds and surgical fix protocols.
Module 04architect
Content Mix Design & Scheduling Strategy
Content categories, measurable mix ratios, cadence, and scheduling strategy.
Module 05architect
Account Infrastructure
Account configuration, credentials, deployment layers, and environment verification.
Module 06generate
Tweet Generation Pipeline
280-char constraint. Assignment locking. Auto mode. Full gate enforcement.
Module 07generate
Long-Form Content Pipeline
800–25,000 character posts. Hook scoring (9+/11). Authority markers per section.
Module 08generate
Article Generation Pipeline
3K–6K word articles with structured argumentation and inline citations.
Module 09generate
Content Planning & Research
Research-backed briefs, insight strengthening, and topic deduplication.
Module 10generate
Lead Magnet Creation
Research checkpoints, proprietary frameworks, and lead-magnet delivery.
Module 11generate
Content Atomization
Long-form → 5–10 quality-gated tweet drafts. Each piece carries its own hook.
Module 12generate
Cross-Platform Distribution
Adapt gated source material for LinkedIn and other distribution surfaces.
Module 13operate
Scheduling & Queue Management
Scheduler architecture, content prep, and multi-account queue management.
Module 14operate
Performance Analytics
Checkpoint-based outcomes, comparisons, and performance reporting.
Module 15operate
Competitor Intelligence
Scanning, pattern attribution, and counter-positioning briefs.
Module 16operate
Engagement Automation
Human-approved, substantive engagement workflows with account boundaries.
Module 17operate
Daily Operations Cycle
A focused daily and weekly review of queues, alerts, and system health.
Module 18operate
Content Recommendations Engine
Prioritized recommendations from mix, queue, brief, and performance inputs.
Module 19operate
Voice Calibration & Brief Management
Refresh voice samples and maintain a deduplicated brief catalog.
Module 20operate
Scaling & Multi-Account Operations
Account isolation, shared infrastructure, and evidence-led calibration.
08 · Controls
Inspect the system by what it enforces.
These are product capabilities and review boundaries, not projected performance results. Outcomes still depend on the operator, source material, audience, and platform conditions.
Quality checksExplicit
10
scored gates with pass criteria
Voice profileMeasured
6 dims
documented per account
Outcome checksRecorded
3
4h · 24h · 48h checkpoints
Included commandsPre-built
18
generation and operations workflows
Final decisionHuman
1 owner
reviews before approval or publishing
FIG.05 · Operational change, before vs. after
BeforeAfter
Content generationUnstructured promptingGenerate, score, revise, then review
Voice consistencySubjective. Drifts between sessions.6-dimension fingerprint. Measurable.
Quality controlHope it's good enough10-gate enforcement with surgical fixes
ApprovalImplicit or inconsistentExplicit operator decision
Performance feedbackCheck analytics manuallyAuto-collected, fed into calibration
System improvementNo recorded feedbackEvidence-backed changes proposed for review
09 · Calibration engine
Measured outcomes inform operator decisions.
AI gate scores can be compared with real engagement data at 4h, 24h, and 48h checkpoints. Once a useful sample exists, the calibration engine proposes audience-specific weight and pattern changes for operator review. Results depend on the sample, content mix, and platform conditions.
Observe
01
Collect comparable gate scores and outcomes
Propose
02
Surface candidate weight and pattern changes
Review
03
Operator approves, rejects, or revises the change
10 · Choose your tier
One product. Two tiers. Identical curriculum.
The 20-module curriculum is identical across both. The difference is implementation depth - buy the spec and build it, or buy the working machine.
The Blueprint
Build the entire system yourself
$497once · lifetime
Purchase modelone-time · no product subscription
The complete engineering spec behind the autonomous pipeline - every algorithm, threshold, and quality gate documented across 20 modules. Methodology you apply with any AI tool.
What's inside6 components
  • +20-module curriculum · 32,000+ words$2,000
  • +10-gate quality architecture$497
  • +Viral Pattern Library · 10 patterns$297
  • +Creative Catalyst Collection · 34 catalysts$297
  • +Voice fingerprint framework · 6-dimension$147
  • +8 templates + Quality Gates Reference$497
Total value$3,735
Your price$497
Instant access · No technical requirements · Works with any AI tool
Most popular
The Full Agentic System
Download. Deploy. Start posting.
$2,997once · lifetime
Purchase modelone-time · provider costs separate
Everything in the Blueprint plus the working machine. Clone the repo, configure your voice, verify the local providers, then run a post through all 10 quality gates.
Everything in Blueprint, plus+ 5 components
  • +18 pre-built Claude Code commands$5,400
  • +Express scheduler + Next.js dashboard$3,500
  • +Calibration engine + 15+ runtime scripts$3,500
  • +Competitor intelligence · automated scanning$1,000
  • +Command Reference Manual · bonus$997
Total system value$18,132
Your price$2,997
Instant access · Setup time depends on your local environment · Requires Claude Code Pro ($20–200/mo)
FIG.06 · Side-by-side comparison
Blueprint $497Full System $2,997
20-module curriculum (32,000+ words)●●
Quality gates + patterns + catalystsReference docsIntegrated commands
Voice fingerprint systemFramework + worksheetMeasured calibration proposals
18 Claude Code commands-●
Scheduler + dashboard-●
Calibration engineArchitecture docsOperator-reviewed recommendations
Competitor intelligenceFramework onlyAutomated scanning
Time to first outputAfter applying the methodAfter local setup
Requires Claude Code Pro-Yes ($20–200/mo)
Best forWriters, strategistsTechnical creators, agencies
11 · Cost boundaries
Know what is included. Price the rest for your stack.
The product price is fixed. Provider usage, hosting, model access, and platform APIs are separate and can change; verify their current prices for your expected volume before buying.
Product purchase
TierPriceGatesOwn it
Blueprint$497 once10●
Full System$2,997 once10●
Budget separately
  • Model accessprovider-priced
  • Publishing APIusage-priced
  • Search or research APIoptional
  • Hostingprovider-priced
  • Your operating totaldepends on usage
Blueprint
$497
No Draft Protocol subscription. Apply the methodology with an AI tool you choose.
Full System
The $2,997 purchase includes the implementation, not third-party service usage. Choose providers and capacity for your own workflow, then verify their current terms and prices directly.
Ruslan Galba
A note from the founder
I built this for my own content operation first, turning recurring review failures into explicit gates, catalysts, and fix protocols. The product gives operators that same inspectable workflow.
Ruslan Galba@iamgalba
Building since2011
Quality gates10
System commands18
12 · Common questions
Everything you need before choosing your tier.
Seven answers. If you have an eighth, message @iamgalba on X.
ChatGPT and Claude are language models - they generate text. The Autonomous Content Pipeline is a quality architecture that sits on top of any language model. Without quality gates, you prompt, review, edit, and hope. With quality gates, the system generates, validates against 10 measurable thresholds, applies surgical fixes, and presents a quality-gated draft for operator review. The LLM is the engine. This is the engineering around the engine.
13 · Shipped
The pipeline evolves on a cadence.
Every release ships here, in the curriculum, and into your inbox. Below: the most recent updates.See all updates →
  1. 03v1.1.1
    Every release, where you read
    • Release cadence band on the home page (latest releases visible)
    • "Latest releases" block at the top of your curriculum
    • Full release notes pages with Blueprint + Full System views side by side
    Read full release notes →
  2. 02v1.1.0
    The complete operating stack
    • Full Next.js dashboard ships with the system
    • Full Express scheduler with multi-account queue management
    • Run the same stack that runs in production
    Read full release notes →
  3. 01v1.0.0
    A new way to publish
    • 20-module curriculum across 3 phases (70,200+ words)
    • 10 quality gates with 6-dimension voice fingerprint
    • Self-improving calibration engine that learns from what publishes
    Read full release notes →
10-gate pipeline · operator-controlled
Own the pipeline. Stop renting your stack.
A pipeline for distinct voice profiles, explicit quality gates, scheduled delivery, measured outcomes, and operator-reviewed calibration. One-time purchase, lifetime ownership, lifetime updates.
+ One-time purchase+ Lifetime updates+ No subscription+ Instant access
P.S.
Choose the $497 Blueprint if you want the methodology to apply with your existing tools. Choose the $2,997 Full Agentic System if you want the pre-built commands, scheduler, dashboard, and calibration workflow. Provider usage costs are separate in either case.