Authority Intelligence War Room

Internal AI Research & Content Production System

System Status

OPERATIONAL

Architecture

System Overview

Core Objective

Daily AI discovery research across 8 domains

3 content pieces/day (blog, news, manuscript)

Persistent storage with versioning

Human approval gate before publish

Resumable stateful execution

Daily Output

Strategic Blog Post 800-1200w

AI News Analysis 600-900w

Book Manuscript 500-1000w

Research Pack Structured

Morning Brief Summary

Research Domains

AI Search

Generative AI

Retrieval Systems

Trust Signals

Knowledge Graphs

AI Commerce

Entity Recognition

Citation Systems

Critical Principles

NO fabricated sources - All citations must be real and verifiable

Fact vs Forecast - Clear separation of current state from predictions

Doctrine consistency - Every output references Authority Engineering framework

System Architecture

Production-Grade Intelligence Pipeline

Layer 1: Intelligence Gathering

Source Scanner

RSS feeds, APIs, Web scraping

Filter Engine

Relevance scoring, deduplication

Extract Module

Key facts, quotes, URLs

Research Pack

Structured JSON output

Layer 2: Content Generation

Blog Engine

Strategic 800-1200w analysis

Template: thesis → mechanism → impact → tactics

News Analyzer

600-900w interpretation

Template: summary → implications → guidance

Book Writer

500-1000w chapter contribution

Template: framework → case → forecast

Layer 3: Persistence & State

PostgreSQL

Metadata, state, logs

S3/R2

Research packs, drafts

Redis

Job queue, cache

Git

Doctrine, versions

Vector DB

Similarity, dedup

Layer 4: Human Approval Gate

Morning Brief Generator

Summaries, outlines, risk flags

Approval Interface

Review, edit, approve, reject

Publish Executor

CMS integration, logging

Layer 5: Publication

Blog (CMS)

News Feed

Manuscript

Core Technology Stack

Runtime Node.js 20+ / Python 3.11+

Database PostgreSQL 15+

Queue BullMQ (Redis)

Storage Cloudflare R2 / AWS S3

Vector Pinecone / Qdrant

LLM OpenAI GPT-4 / Claude 3

Monitoring Sentry + Custom

Security & Reliability

Internal Only Access

IP whitelist + OAuth

Encrypted Storage

AES-256 for sensitive data

Audit Logging

All actions, approvals, publishes

Graceful Failure

State checkpoints, resume capability

Rate Limiting

LLM API protection

Backup Strategy

Daily DB dumps, S3 versioning

Database Schema & Storage

PostgreSQL Schema

research_packs

id UUID PK

date DATE UNIQUE

focus_story JSON

top_stories JSON[]

source_urls TEXT[]

confidence FLOAT 0-1

status ENUM completed

created_at TIMESTAMP

content_pieces

id UUID PK

research_id UUID FK

type ENUM blog/news/book

title TEXT

thesis TEXT

content_url TEXT S3 link

status ENUM draft/approved

word_count INT

book_manuscript

id UUID PK

chapter_id TEXT e.g. ch3

section_id TEXT e.g. 3.2

content_id UUID FK

sequence INT order

status ENUM integrated

updated_at TIMESTAMP

approvals

id UUID PK

content_id UUID FK

approver TEXT user ID

decision ENUM approve/reject

notes TEXT optional

approved_at TIMESTAMP

publish_log

id UUID PK

content_id UUID FK

cms_url TEXT live URL

published_at TIMESTAMP

success BOOLEAN

error_log TEXT if failed

doctrine_library

id UUID PK

category TEXT framework/term

content JSON structured

version INT Git SHA

updated_at TIMESTAMP

S3/R2 Folder Structure

📁 /war-room/

📁 /research/

📄 2026-02-13-research-pack.json

📄 2026-02-12-research-pack.json

📁 /drafts/

📁 /blog/

📄 2026-02-13-blog-v1.md

📄 2026-02-13-blog-v2.md (edited)

📁 /news/

📄 2026-02-13-news-v1.md

📁 /book/

📄 2026-02-13-ch3-sect2-v1.md

📁 /approved/

📄 2026-02-13-blog-final.md

📄 2026-02-13-news-final.md

📁 /published/

📄 2026-02-12-blog.md

📄 2026-02-12-news.md

📁 /book/

📁 /chapters/

📄 chapter-01-foundation.md

📄 chapter-02-ai-systems.md

📄 chapter-03-authority-signals.md

📁 /manuscript/

📄 full-manuscript-v23.md

📁 /doctrine/

📄 frameworks.json

📄 terminology.json

📄 mountain-strategy.md

State Machine & Workflow

Content Production State Flow

IDLE

System ready

RESEARCHING

Gathering intelligence

RESEARCH_COMPLETE

Pack generated

GENERATING

Writing content

DRAFTS_READY

3 pieces done

AWAITING_APPROVAL

Human gate

APPROVED

Ready to publish

PUBLISHING

CMS integration

PUBLISHED

Live & logged

ERROR

Logged, retry

System logs error → Notifies admin → Resumes from last checkpoint

State Transition Rules

Each state writes checkpoint to DB

Failed transitions → ERROR state

AWAITING_APPROVAL blocks until human action

Rejected content → back to GENERATING

System restart → resumes from checkpoint

Resumability

On system restart, the engine:

Queries DB for today's workflow state
Loads last checkpoint data from S3
Resumes from interrupted state
Skips completed steps
Continues workflow

Example: If crashed during GENERATING,
it reloads research pack and regenerates
only the missing content pieces.

Daily Execution Sequence

1

Research Engine Trigger

Time: 6:00 AM daily (cron)
Duration: ~10-15 minutes
Output: research_pack_{date}.json

// Pseudocode

sources = loadSources()

rawData = fetchAllFeeds(sources)

filtered = filterByRelevance(rawData, threshold=0.7)

focused = selectFocusStory(filtered)

pack = structureResearchPack(focused, filtered)

saveToS3(pack) && saveMetadataToDB(pack)

2

Content Generation Pipeline

Time: Immediately after research
Duration: ~20-30 minutes
Output: 3 draft MD files

Blog Engine

• Load doctrine
• Check last 7 days
• Generate thesis
• Write 800-1200w
• Validate structure

News Analyzer

• Summarize story
• Analyze implications
• Write 600-900w
• Add guidance
• Cite sources

Book Writer

• Load chapter context
• Write 500-1000w
• Label forecasts
• Maintain voice
• Version control

3

Morning Brief Generation

Time: After drafts complete (~6:45 AM)
Duration: ~2 minutes
Output: Email + dashboard notification

Brief Contents:

Blog: Title + Thesis + 3-point outline
News: Title + Key takeaway + Sources
Book: Chapter/section + Word count
Risk flags (if any duplicate angles detected)
Approve/Reject/Edit buttons

4

Human Approval Gate

Time: Blocking until human action
Actions: Approve all, approve selective, edit, or reject

If Approved:

→ Move to /approved/ folder
→ Log approval + timestamp
→ Proceed to publish

If Rejected/Edited:

→ Save edits as new version
→ Log changes
→ Re-submit for approval

5

Publish Executor

Time: Immediate after approval
Duration: ~5 minutes
Output: Live content + publish log

// Publish workflow

for each approved_content:

cms_response = publishToCMS(content)

if success:

logPublish(content_id, cms_url, timestamp)

moveToPublished(content)

sendConfirmation()

else:

logError() && notifyAdmin()

Core Modules & Functions

Research Engine

researchEngine.js

// Function signatures

fetchSources(config) → rawData[]

filterByRelevance(data, threshold) → filtered[]

selectFocusStory(stories) → Story

extractMetadata(story) → Metadata

generateResearchPack(focus, stories) → Pack

validateSources(pack) → boolean

Input: RSS feeds, API endpoints, config

Output: research_pack.json

Validation: No hallucinated URLs

Blog Engine

blogEngine.js

// Function signatures

loadDoctrine() → Doctrine

checkRecentAngles(days=7) → usedAngles[]

generateThesis(research, doctrine) → string

writeStructuredPost(thesis, template) → Post

validateWordCount(post, min, max) → boolean

addMountainStrategy(post) → Post

Input: ResearchPack, Doctrine

Output: blog-{date}.md (800-1200w)

Template: Thesis→Mechanism→Impact→Tactics

News Analyzer

newsAnalyzer.js

// Function signatures

summarizeStory(focusStory) → Summary

analyzeImplications(story, context) → Analysis

identifyWinnersLosers(analysis) → {winners, losers}

generateGuidance(analysis) → Guidance[]

citeAllSources(article) → Article

Input: FocusStory from pack

Output: news-{date}.md (600-900w)

Template: Summary→Implications→Guidance

Book Writer

bookWriter.js

// Function signatures

loadChapterContext(chapterId) → Context

determineNextSection(context) → SectionId

writeSection(research, context) → Section

labelForecasts(content) → Content

integrateToManuscript(section) → boolean

versionControl(manuscript) → GitCommit

Input: Research + Chapter context

Output: ch{X}-sect{Y}.md (500-1000w)

Continuity: Advances single manuscript

Morning Brief Generator

briefGenerator.js

// Function signatures

generateBlogSummary(blog) → Summary

generateNewsSummary(news) → Summary

generateBookSummary(book) → Summary

detectRiskFlags(allContent) → RiskFlag[]

composeEmail(summaries, flags) → Email

sendNotification(email) → boolean

Input: 3 draft content pieces

Output: Email + dashboard notification

Timing: ~6:45 AM daily

Publish Executor

publishExecutor.js

// Function signatures

publishToCMS(content, type) → CMSResponse

logPublish(contentId, url, timestamp) → LogEntry

moveToPublished(content) → boolean

sendConfirmation(result) → boolean

handlePublishError(error) → ErrorLog

retryFailed(logEntry, maxRetries=3) → boolean

Input: Approved content + CMS config

Output: Live URLs + publish log

Reliability: Auto-retry with exponential backoff

Build Plan & Roadmap

Phase 1: MVP (Weeks 1-4)

PRODUCTION READY

Week 1: Foundation

Database setup

PostgreSQL schema, migrations, indexes

Storage setup

S3/R2 buckets, folder structure, lifecycle policies

Queue system

BullMQ setup, Redis connection, job definitions

Doctrine library

Git repo, JSON schemas, version control

Week 2: Research Engine

Source scanner

RSS parser, API integrations, rate limiting

Filter engine

Relevance scoring, deduplication, ranking

Research pack generator

JSON structure, validation, S3 upload

Source validation

URL verification, no hallucination checks

Week 3: Content Generation

Blog engine

Doctrine integration, template system, validation

News analyzer

Summary generation, implication analysis, guidance

Book writer

Chapter context, section advancement, forecast labeling

Duplication prevention

Vector DB, similarity checks, 7-day window

Week 4: Approval & Publishing

Morning brief generator

Email templates, dashboard UI, risk flags

Approval interface

Review UI, edit capability, approve/reject buttons

Publish executor

CMS integration, error handling, retry logic

State machine

Checkpoints, resumability, monitoring

Phase 1 Deliverables:

Fully automated daily research → content → approval workflow
3 content pieces/day (blog, news, book) with human approval gate
Persistent storage with versioning and resumability
Monitoring, logging, and error handling
Morning brief email with approve/reject interface

Phase 2: Advanced Intelligence (Weeks 5-8)

FUTURE EXPANSION

Scenario Modeling

• 12-24 month AI discovery forecasts

• Monte Carlo simulations

• Trend extrapolation engine

• Confidence intervals

• Scenario comparison matrix

Competitive Prediction

• Competitor move prediction

• Market shift modeling

• Authority trajectory analysis

• Threat detection

• Opportunity identification

AI-to-AI Experiments

• Multi-model comparison tests

• Citation verification experiments

• Hallucination pattern detection

• All experiments labeled & logged

• Human approval required

Interview Drafting

• Generate expert interview questions

• Analyze transcript themes

• Extract quotable insights

• Cross-reference with doctrine

Safety: All generated interviews must be clearly labeled as drafts and require human approval before use

Enhanced Analytics

• Content performance tracking

• Authority signal correlation

• Reader engagement analysis

• Topic velocity metrics

• Forecast accuracy scoring

Publishing Integration Recommendations

WordPress

Method: REST API + JWT auth

Endpoint: /wp-json/wp/v2/posts

Features: Auto-categorize, featured image, SEO meta

Webflow

Method: CMS API + OAuth

Endpoint: /collections/{id}/items

Features: Dynamic fields, staging preview

Custom CMS

Method: GraphQL or REST

Auth: API key or OAuth2

Features: Fully customizable integration

System Summary

Production Characteristics

✓ Fully automated daily execution
✓ Graceful failure & resumability
✓ Human approval gate enforced
✓ Zero fabricated sources
✓ Consistent doctrine reference
✓ Comprehensive logging & monitoring
✓ Version control for all content

Key Metrics

Daily Research Time: ~15 min

Content Generation: ~30 min

Total Automation Time: ~45 min

Daily Output: 3 pieces

Word Count/Day: ~2000-3000w

Human Review Time: ~10 min