Agent Integration Bridge - Campaign System
π AGENT INTEGRATION BRIDGE
Date: January 6, 2026
Status: Integration Ready
Scope: 4 Autonomous Agents + Campaign System
PART 1: CLARIFICATION - CURATION NEWS ON BLOG
Current Structure β
The blog page already has a designated area for Daily News Highlights:
Location: blog/index.md - Section: βπ° Daily News Highlightsβ
What It Shows:
Posts tagged with: 'highlights'
Display: Latest 7 curated posts
Archive: All daily highlights expandable view
Update: Every morning at 9 AM UTC
Current Implementation:
<!-- Display curated post -->
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Enhanced for Campaign β
The Curation Agent feeds directly into this section:
CURATION AGENT (Monitors 26 RSS feeds)
β
Scores articles
β
Generates daily posts (tagged: 'highlights')
β
Posts published to: /blog/ folder
β
Blog index.md automatically displays them
in "π° Daily News Highlights" section
β
Also distributed via:
- RSS feed
- Mastodon (9 AM UTC)
- Bluesky (9 AM UTC)
- Newsletter email
Designated Areas on Blog Page:
| Section | Agent | Tag | Limit | Update |
|βββ|ββ-|ββ|ββ-|βββ|
| π° Daily News | Curation | highlights | 7 posts | 9 AM UTC |
| β¨ Features | Blog Post | features, spotlight | 6 posts | Real-time |
| π
Weekly Recap | Recap | weekly | 4 posts | Monday |
| π¬ Community | Blog Post | Other | All | Real-time |
PART 2: THE 4 AUTONOMOUS AGENTS (Current Configuration)
Agent 1: CURATION AGENT ποΈ
Purpose: Monitor RSS feeds β Score β Publish daily news
Current Configuration:
- RSS Feeds Monitored: 26+ sources
- Feed Tiers:
- Tier 1 (Breaking news): Check every 2 hours
- CBC News
- Global News
- Ontario.ca announcements
- Canada.ca benefits
- Tier 2 (High-signal): Check every 4 hours
- Inclusion Canada
- Policy Options
- Macleanβs
- The Tyee
- Tier 3 (Regular): Check daily at 9 AM
- Disability Alliance BC
- CNIB
- CACL
- ARCH
- CHRC
- CCDO
- Provincial news feeds
- Tier 1 (Breaking news): Check every 2 hours
Scoring Algorithm:
- Relevance to disability, accessibility, workersβ comp
- Timeliness (newer = higher score)
- Source authority
- Community engagement signals
- Topic diversity
- Breaking news detection
Output:
- Daily posts tagged:
highlights - Published to:
/blog/folder - Displayed on: Blog index βDaily News Highlightsβ section
- Distributed via: RSS, Mastodon, Bluesky, email
Status: β ACTIVE - Running 24/7
Agent 2: BLOG POST AGENT π
Purpose: Generate 3-5 blog posts daily (features, education, reactions)
Current Configuration:
- Content Types Generated:
- Feature Spotlights (Evidence Locker, Letter Generator, etc.)
- Educational Deep-Dives (How-to guides)
- Case Studies (From community stories)
- Policy Reactions (When changes announced)
- Topic Deep-Dives (Emerging issues)
Monitoring:
- Trending topics (real-time)
- Community questions/needs
- Policy announcements
- Accessibility news
- Success stories from community
Output:
- 3-5 posts per day
- Tagged:
features,spotlight, orblog - Published to:
/blog/folder - Displayed on: Blog index multiple sections
- Distributed via: RSS, email, social
Status: β ACTIVE - Running 24/7
Agent 3: RECAP AGENT π
Purpose: Synthesize weekly summaries and trends
Current Configuration:
- Frequency: 4 times per week (Mon, Wed, Fri, Sun)
- Analyzes:
- Weekβs top engagement
- Reader votes/reactions
- Trending topics
- Feature usage patterns
- Community feedback
Output:
- 4 different recap formats
- Tagged:
weekly - Published to:
/blog/folder - Displayed on: Blog index βWeekly Recapsβ section
- Distributed via: RSS, email, social
Status: β ACTIVE - Weekly
Agent 4: EMAIL AGENT π§
Purpose: Generate segment-specific newsletters
Current Configuration:
- Segments:
- Disability community
- Injured workers
- Policy makers / Advocates
- Builders / Technologists
- General subscribers
Personalization:
- Content tailored to segment
- Relevant feature highlights
- Targeted calls-to-action
- Recommended next steps
Output:
- 4 segment-specific emails
- Scheduled: Weekly
- Drawn from: Blog posts, curated news, recaps
- Includes: Feature spotlights, top stories, CTAs
Status: β ACTIVE - Weekly
PART 3: NEW CAMPAIGN SYSTEM (Integration Points)
How Campaign Integrates:
AUTONOMOUS AGENTS (Existing - 24/7)
β
ββ CURATION AGENT β Daily news posts β Blog "Daily News" section
β
ββ BLOG POST AGENT β Feature/education posts β Blog "Feature Spotlights"
β
ββ RECAP AGENT β Weekly summaries β Blog "Weekly Recaps"
β
ββ EMAIL AGENT β Newsletters β Email subscribers
β
β
CAMPAIGN SYSTEM (New - Enhanced)
β
ββ SCHEDULER: Coordinates posts
β ββ Works around agent schedule
β
ββ PERFORMANCE TRACKER: Monitors all
β ββ Measures agent + campaign impact
β
ββ FEEDBACK LOOP: Listens to responses
β ββ Feeds insights back to agents
β
ββ INTELLIGENCE ENGINE: Learns & evolves
ββ Improves all agent outputs over time
PART 4: INTEGRATION MAP (Agent Γ Campaign)
Agent 1: Curation Agent
| Integration Point | How It Works | Data Flow |
|---|---|---|
| Scheduling | Campaign scheduler respects curation timing (9 AM UTC posts donβt conflict) | Scheduler reads agent schedule |
| Performance | Campaign tracker monitors curation post reach/engagement | Metrics feed to dashboard |
| Feedback | Reader responses to curated posts tracked | Sentiment analysis improves scoring |
| Evolution | Top-performing news topics identified | Guides future curation weights |
| Output | Daily posts automatically tagged & published | Blog displays via existing structure |
Integration Status: β No conflicts - fully compatible
Agent 2: Blog Post Agent
| Integration Point | How It Works | Data Flow |
|---|---|---|
| Campaign Post | Blog post βWhy Disability Apps Failβ treated as regular blog post | Tagged, indexed, promoted via agent |
| Scheduling | Campaign posts donβt interfere with agent schedule | Campaign uses 3+ hour spacing |
| Cross-linking | Campaign blog links to agent feature posts | Natural internal linking |
| Feedback | Campaign feedback informs blog post topics | Agent learns what resonates |
| Evolution | Agent improves topics based on campaign learnings | Playbook feeds agent rules |
Integration Status: β Complementary - enhances each other
Agent 3: Recap Agent
| Integration Point | How It Works | Data Flow |
|---|---|---|
| Feature | Campaign can be featured in weekly recap | High-engagement content included |
| Analysis | Recap analyzes campaign performance | Adds to trend analysis |
| Timing | Campaign feedback influences recap focus | Responsive to community |
| Distribution | Campaign metrics included in weekly summaries | Email subscribers see results |
Integration Status: β Coordinated - campaign enhances recaps
Agent 4: Email Agent
| Integration Point | How It Works | Data Flow |
|---|---|---|
| Segment Content | Campaign post included in relevant email segments | Personalized by audience |
| Disability Segment | βWhy Apps Failβ = perfect for disability community | Direct relevance |
| Policymakers | Campaign positions app as solution for policy | Policy-focused angle |
| Builders | Campaign teaches design approach | Relevant to builders |
| Personalization | Email agent uses campaign feedback for future emails | Learns from engagement |
Integration Status: β Beneficial - campaign drives email engagement
PART 5: DATA FLOW ARCHITECTURE
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β AUTONOMOUS AGENTS LAYER β
βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β β
β Curation Agent Blog Post Agent Recap Agent Email Agentβ
β β β β β β
β Posts to Posts to Posts to Sends to β
β /blog/ /blog/ /blog/ Subscribersβ
β β
βββββββββββββββ¬βββββββββββββββββ¬βββββββββββββββββ¬ββββββββββββββββββ
β β β
β β β
ββββββββββββββββββββββββββββββββββββββββββββββββββ
β BLOG INDEX (blog/index.md) β
β ββββββββββββββββ ββββββββββββββββ β
β β Daily News β β Feature β Displays β
β β (7 latest) β β Spotlights β 4 β
β β β β (6 latest) β sections β
β ββββββββββββββββ€ ββββββββββββββββ€ β
β β Weekly β β Community β β
β β Recaps β β Updates β β
β β (4 latest) β β (all others) β β
β ββββββββββββββββ ββββββββββββββββ β
ββββββββββββββββββββββββββββββββββββββββββββββββββ
β β β
β RSS Feed β Social Media β Email
β β β
βββββββββββ΄βββββββββββββββββ΄βββββββββββββββββ΄βββββββββββ
β CAMPAIGN SYSTEM LAYER (New) β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ€
β β
β Campaign Scheduler βββ Posts blog post β
β Performance Tracker βββ Monitors all engagement β
β Feedback Loop βββββββββ Collects responses β
β Intelligence Engine βββ Analyzes patterns β
β β
β Output: Daily & weekly reports, adaptations β
β Feeds back: Insights to improve all agents β
β β
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
β β β
β Sentiment β Engagement β Topics
β Analysis β Metrics β Learned
β
ββββββββββ΄βββββββββββββββββββββββββββββββββββββββ
β COMMUNITY FEEDBACK (All Platforms) β
β - Blog comments β
β - Social media replies β
β - Email responses β
β - Engagement metrics β
βββββββββββββββββββββββββββββββββββββββββββββββββ
PART 6: SYNCHRONIZATION RULES
Posting Schedule (No Conflicts)
Time Agent 1 Agent 2 Agent 3 Campaign
ββββ ββββββββββ ββββββββββ ββββββββββ ββββββββββ
09:00 Curation posts
(7 new posts)
09:30 Blog post
published
10:00 Blog post
(feature spot)
11:00 Blog post
(education)
14:00 Blog post Campaign
(case study) thread X
16:00 Blog post
(reaction)
18:00 Curation
(if breaking)
Rules:
- β Curation Agent: 9 AM always (breaking news anytime)
- β Blog Post Agent: Throughout day (3+ hour spacing)
- β Campaign System: Uses designated times
- β No two agents post simultaneously
- β Blog index displays latest from each automatically
PART 7: FEEDBACK LOOP (Agents β Campaign β Community)
Community Feedback
β
ββ Blog comments
ββ Social replies
ββ Email opens/clicks
ββ Engagement metrics
β
β
Campaign Feedback Loop (Analyzes)
β
ββ Sentiment analysis
ββ Topic clustering
ββ Question detection
ββ Misconception ID
ββ Pattern detection
β
β
Intelligence Engine (Learns)
β
ββ "Disability community engages most with X topic"
ββ "Policy angle resonates better than inspiration"
ββ "Common question: How is 3mpwrApp different?"
ββ "Best time to post: 8-9 AM EST"
ββ "Misconception: Think it requires internet"
β
β
Playbook Generation (For Next Campaign)
β
ββ Share insights with all agents
ββ Curation Agent: Improve scoring weights
ββ Blog Post Agent: Topic ideas that work
ββ Recap Agent: Emphasis for weekly summaries
ββ Email Agent: Segment-specific angles
RESULT: All agents improve based on campaign learnings
PART 8: CROSS-INTEGRATION BENEFITS
What Campaign Gets From Agents:
β
Distributed through all agent channels automatically
β
Included in weekly recaps (if high engagement)
β
Featured in segment-specific emails
β
Shared on social media (via agent posting)
β
Gets link-backs from agent-generated content
What Agents Get From Campaign:
β
Performance data (what resonates with each segment)
β
Topic learnings (what community cares about)
β
Feedback insights (misconceptions to address)
β
Audience patterns (best times, formats, angles)
β
Playbook updates (for next campaign)
What Community Gets:
β
Coordinated messaging (all channels aligned)
β
Real engagement (not just broadcasts)
β
Responsive content (feedback creates follow-ups)
β
Better curation (agents improve from data)
β
Personalized emails (based on segment)
PART 9: CONFIGURATION VERIFICATION β
Curation Agent Configuration
β
26+ RSS feeds monitored
β
Tier 1: Breaking news (2-hour check)
β
Tier 2: High-signal (4-hour check)
β
Tier 3: Regular (daily 9 AM)
β
Scoring algorithm: 6-tier relevance
β
Output: Tagged highlights posts
β
Status: ACTIVE 24/7
Blog Post Agent Configuration
β
Monitors trending topics
β
Generates 3-5 posts daily
β
Types: Features, education, cases, reactions
β
Output: Tagged features, spotlight
β
Status: ACTIVE 24/7
Recap Agent Configuration
β
Analyzes weekly engagement
β
Creates 4 recap versions
β
Frequency: Mon, Wed, Fri, Sun
β
Output: Tagged weekly posts
β
Status: ACTIVE weekly
Email Agent Configuration
β
5 audience segments
β
Personalizes by segment
β
Sources: Blog posts + curated news
β
Frequency: Weekly
β
Status: ACTIVE weekly
Campaign System Configuration
β
Scheduler: 4-phase intelligent schedule
β
Tracker: Real-time performance metrics
β
Feedback: 7-stage analysis system
β
Intelligence: Auto-learning, auto-adapting
β
Status: READY TO LAUNCH
PART 10: LAUNCH CHECKLIST
Before Campaign Launches:
- β Verify agents are running
- β Check RSS feeds are updating
- β Confirm blog index displays all sections
- β Test blog post publishing pipeline
- β Verify social media posting works
- β Confirm email delivery configured
Campaign Launch Day:
- β Blog post published (tagged correctly)
- β Campaign scheduler starts
- β Performance tracker begins monitoring
- β Feedback collection begins
- β All platforms posting on schedule
- β Reports generating
Ongoing:
- β Agents continue normal operation
- β Campaign data feeds to agent reports
- β Weekly recaps mention campaign highlights
- β Campaign feedback improves agent weights
- β Monthly playbook updates agents
SUMMARY
STATUS: β
ALL SYSTEMS INTEGRATED & READY
AGENTS: 4/4 Operating
CAMPAIGN: Ready to launch
INTEGRATION: Seamless (no conflicts)
DATA FLOW: Bi-directional (agents β β campaign)
FEEDBACK: Continuous (community β agents β improvement)
RESULT: Coordinated, intelligent content ecosystem
that learns and improves over time
Next Step: Launch campaign with node scripts/automation/campaign-orchestrator.js start
Everything else happens automatically.