#!/usr/bin/env node
/**
 * Add Business Intelligence Tools Blog Post
 * Creates blog post draft and calendar task for BI announcement
 */

require('dotenv').config();
const mongoose = require('mongoose');
const BlogPost = require('../src/models/BlogPost.model');
const ScheduledTask = require('../src/models/ScheduledTask.model');

async function addBIBlogPost() {
  try {
    await mongoose.connect(process.env.MONGODB_URI || 'mongodb://localhost:27017/tractatus_dev');
    console.log('✓ Connected to MongoDB\n');

    // Create blog post draft
    const blogPost = await BlogPost.create({
      title: 'Introducing Tractatus Business Intelligence: Measuring Governance ROI',
      slug: 'tractatus-business-intelligence-governance-roi',
      author: {
        type: 'human',
        name: 'John Stroh'
      },
      excerpt: 'New research tools transform Tractatus from AI safety framework to measurable risk management platform. Track cost avoidance, framework maturity, and team performance with real-time governance analytics.',
      content: `# Introducing Tractatus Business Intelligence: Measuring Governance ROI

**Research Status**: v1.0 Prototype | Last Updated: 2025-10-27

---

## From AI Safety to Measurable ROI

When we launched Tractatus, we positioned it as an architectural safety framework for AI systems. But months of real-world usage revealed something more valuable: **governance decisions generate measurable business value**.

Today we're announcing the Tractatus Business Intelligence (BI) tools - a research prototype that transforms governance logs into executive insights.

## What We Built

The BI tools analyze framework audit logs to provide:

### 1. Cost Avoidance Calculator
Track the financial value of violations prevented. When the framework blocks a critical security issue or client-facing error, we calculate the cost impact using user-configurable factors.

**Current Research**: Default values are illustrative placeholders requiring organizational validation.

### 2. Framework Maturity Score (0-100)
Measures how well your organization has internalized governance practices. As teams learn, block rates decrease and the score improves.

**Research Question**: Does AI governance follow a learning curve similar to security training?

### 3. Team Performance Comparison
Compare governance profiles between AI-assisted work and human-direct contributions. This reveals where AI systems require more guardrails and where human judgment excels.

**Strategic Insight**: Helps organizations optimize AI delegation strategies.

### 4. Enterprise ROI Projections
Visualize scaling scenarios (1k, 10k, 70k users) to answer: "What if we deployed this organization-wide?"

**Critical Disclaimer**: Assumes linear scaling (likely incorrect). For illustrative purposes only.

## Current Research Focus

We're actively investigating:

- **Tiered Pattern Recognition**: Session, sequential, and temporal governance patterns
- **Feedback Loop Analysis**: Measuring whether the framework teaches better practices over time
- **Organizational Benchmarking**: Cross-org anonymized data sharing (long-term goal)

## Why This Matters

Every organization asks: "How do we measure AI governance effectiveness?" Traditional approaches focus on compliance checklists and incident reports - backward-looking metrics.

The BI tools provide **forward-looking governance analytics**: real-time visibility into risk mitigation, team learning, and ROI projections.

This transforms the conversation from "Do we need AI governance?" to "Here's what governance is preventing right now."

## Try It Yourself

The BI tools are available in the Tractatus audit analytics dashboard:

\`\`\`
http://localhost:9000/admin/audit-analytics.html
\`\`\`

**Configure Cost Factors**: Adjust dollar values to match your organization's incident costs
**Review Maturity Score**: Track improvement over time
**Compare Team Performance**: See where AI needs more guardrails

## Research Prototype Status

**Important Limitations**:
- Cost factors are illustrative placeholders requiring validation
- Maturity algorithm needs peer review and organizational testing
- ROI projections assume linear scaling (needs empirical validation)
- Current data limited to single-organization deployments

We're seeking pilot organizations for validation studies. If you're interested in trial deployment, [contact us](mailto:john@tractatus.dev).

## What's Next

Short-term development (3-6 months):
- False positive tracking and tuning tools
- Pattern recognition for common violation sequences
- Export functionality for compliance reporting
- Integration with organizational incident databases

Long-term research goals (6-18 months):
- Multi-session pattern detection
- Automated governance insights generation
- Cross-organizational benchmarking platform
- Predictive risk scoring

## The Strategic Shift

This represents a fundamental repositioning: **from AI safety tool to risk management ROI platform**.

Every governance framework has value. Most can't measure it. Tractatus now can.

---

**Want to dive deeper?** Read the full technical documentation: [Business Intelligence Tools Guide](/docs/business-intelligence/governance-bi-tools.pdf)

**Questions or feedback?** [Get in touch](mailto:john@tractatus.dev)

*Tractatus: Making AI governance measurable.*
`,
      status: 'draft',
      tags: ['business-intelligence', 'governance', 'roi', 'research', 'analytics'],
      tractatus_classification: {
        quadrant: 'STRATEGIC',
        values_sensitive: false,
        requires_strategic_review: true
      }
    });

    console.log('✓ Blog post created');
    console.log(`  Title: ${blogPost.title}`);
    console.log(`  Status: ${blogPost.status}`);
    console.log(`  ID: ${blogPost._id}\n`);

    // Create calendar task
    const dueDate = new Date('2025-10-30T12:00:00Z');

    const task = new ScheduledTask({
      title: 'Publish BI Tools Blog Post',
      description: 'Review, finalize, and publish blog post announcing Tractatus Business Intelligence tools. Ensure tone is measured and research-focused per inst feedback.',
      dueDate: dueDate,
      priority: 'HIGH',
      category: 'project',
      recurrence: 'once',
      assignedTo: 'PM',
      tags: ['blog', 'business-intelligence', 'publication'],
      metadata: {
        blogPostId: blogPost._id.toString(),
        blogSlug: blogPost.slug,
        type: 'blog_publication',
        documentRef: 'docs/business-intelligence/governance-bi-tools.md'
      },
      links: [
        {
          label: 'Blog Post Draft',
          url: `/admin/blog/${blogPost._id}`
        },
        {
          label: 'BI Documentation',
          url: '/docs/business-intelligence/governance-bi-tools.md'
        },
        {
          label: 'Media Rollout Plan',
          url: '/docs/outreach/COMPRESSED-LAUNCH-PLAN-2WEEKS.md'
        }
      ],
      showInSessionInit: true,
      reminderDaysBefore: 1
    });

    await task.save();

    console.log('✓ Calendar task created');
    console.log(`  Title: ${task.title}`);
    console.log(`  Due: ${task.dueDate.toISOString().split('T')[0]}`);
    console.log(`  Priority: ${task.priority}`);
    console.log(`  ID: ${task._id}\n`);

    console.log('═══════════════════════════════════════');
    console.log('  BLOG POST & CALENDAR TASK ADDED');
    console.log('═══════════════════════════════════════');
    console.log('\nNext Steps:');
    console.log('  1. Review blog post draft in admin interface');
    console.log('  2. Decide on media rollout timing (see COMPRESSED-LAUNCH-PLAN-2WEEKS.md)');
    console.log('  3. Finalize and publish on Oct 30, 2025');
    console.log('  4. Update UI pages with BI tool descriptions\n');

    await mongoose.connection.close();
    console.log('✓ Disconnected from MongoDB\n');

  } catch (error) {
    console.error('Error:', error);
    process.exit(1);
  }
}

addBIBlogPost();