OpenClaw Briefing Automation Deployment Collection: Building an Information Push System

Decision-makers need curated, timely intelligence — not raw data dumps. Building an automated briefing system that gathers, analyzes, and delivers relevant information at the right time transforms how organizations consume information. OpenClaw on Tencent Cloud Lighthouse makes this achievable without a dedicated data engineering team.

What's a Briefing Automation System?

Think of it as your organization's AI-powered news desk. It:

Collects information from dozens of sources continuously
Filters noise and identifies what's relevant to your stakeholders
Analyzes content for sentiment, trends, and implications
Composes structured briefings tailored to different audiences
Delivers them on schedule via preferred channels

Architecture

┌──────────────────┐     ┌──────────────────┐     ┌──────────────┐
│  Data Sources    │     │   OpenClaw Core   │     │  Delivery    │
│  - News APIs     │────▶│   + Briefing      │────▶│  - Email     │
│  - RSS Feeds     │     │   Skills          │     │  - Slack     │
│  - Social Media  │     │   + AI Analysis   │     │  - Lark      │
│  - Internal Data │     │                    │     │  - Dashboard │
└──────────────────┘     └──────────────────┘     └──────────────┘
                                │
                         ┌──────────────┐
                         │  Lighthouse  │
                         └──────────────┘

Deployment

Step 1: Lighthouse Setup

A 2-core 4GB Lighthouse instance handles briefing generation for teams up to 100 people.

sudo apt update && sudo apt upgrade -y
sudo apt install -y docker.io

docker run -d --name openclaw-briefing \
  -p 3000:3000 \
  -v /opt/openclaw/data:/app/data \
  --restart always \
  openclaw/openclaw:latest

Configure per the official guide.

Step 2: Source Configuration

{
  "skill": "briefing-aggregator",
  "config": {
    "sources": {
      "news": {
        "providers": ["newsapi", "gnews"],
        "rss_feeds": 50,
        "refresh": "15m"
      },
      "social": {
        "twitter_lists": ["industry_leaders", "competitors"],
        "reddit_subreddits": ["technology", "business"],
        "refresh": "30m"
      },
      "internal": {
        "slack_channels": ["#announcements", "#product-updates"],
        "jira_projects": ["PROD", "ENG"],
        "refresh": "1h"
      },
      "market_data": {
        "symbols": ["AAPL", "GOOGL", "industry_etf"],
        "refresh": "5m"
      }
    }
  }
}

Step 3: Briefing Templates

Executive Morning Brief:

briefing: executive_morning
schedule: "0 7 * * MON-FRI"
audience: c_suite
format: email_html

sections:
  - market_overview:
      content: key_indices_and_movements
      length: 150_words
  
  - top_stories:
      count: 5
      criteria: highest_relevance_and_impact
      format: headline + 2_sentence_summary + source_link
  
  - competitor_watch:
      track: [competitor_a, competitor_b, competitor_c]
      include_only: significant_developments
  
  - internal_highlights:
      sources: [product_launches, key_metrics, team_wins]
  
  - action_items:
      from: previous_briefings_followups
      status: pending

tone: concise_executive
total_length: max_800_words
reading_time: target_3_minutes

Team Technical Brief:

briefing: engineering_weekly
schedule: "0 9 * * MON"
audience: engineering_team
format: slack_message

sections:
  - tech_news:
      topics: [ai_ml, cloud, security, open_source]
      count: 10
      format: title + 1_line_summary + link
  
  - security_alerts:
      sources: [cve_database, security_blogs]
      severity: [critical, high]
      relevance: our_tech_stack
  
  - open_source_updates:
      track: [dependencies, frameworks, tools]
      include: breaking_changes_only
  
  - conference_cfps:
      deadlines: next_30_days
      topics: relevant_to_team

tone: developer_friendly
format: markdown_with_links

Sales Intelligence Brief:

briefing: sales_daily
schedule: "0 8 * * MON-FRI"
audience: sales_team
format: email + crm_update

sections:
  - prospect_news:
      monitor: active_pipeline_companies
      triggers: [funding_round, leadership_change, expansion, layoff]
      action: update_crm_notes
  
  - industry_trends:
      relevant_to: our_value_proposition
      talking_points: true
  
  - competitive_intel:
      track: [pricing_changes, product_launches, customer_wins]
      format: comparison_table
  
  - win_loss_summary:
      period: last_7_days
      insights: ai_analysis

tone: action_oriented
include: suggested_talking_points

Personalization Engine

personalization:
  user_profiles:
    - role: ceo
      interests: [market_trends, competitor_strategy, regulatory]
      detail_level: executive_summary
      preferred_channel: email
    
    - role: cto
      interests: [technology, security, architecture, ai]
      detail_level: deep_technical
      preferred_channel: slack
    
    - role: sales_manager
      interests: [prospect_intel, competitive, industry]
      detail_level: actionable_bullets
      preferred_channel: crm_integration
  
  learning:
    track_engagement: true
    adjust_content: based_on_click_rates
    feedback_loop: thumbs_up_down

Quality Metrics

Metric	Target	Measurement
Delivery on time	99.9%	Schedule adherence
Open rate	> 80%	Email/Slack tracking
Read-through rate	> 60%	Engagement analytics
Relevance score	> 4/5	User feedback
Unique insights	> 3 per brief	AI evaluation
Time to produce	< 5 min	Automated

Cost Analysis

Approach	Monthly Cost	Time Investment
Manual analyst	$5,000-10,000	Full-time role
SaaS briefing tool	$200-500	Setup + maintenance
OpenClaw on Lighthouse	~$15	Initial setup only

Why Lighthouse?

Simple: Deploy your briefing system in under an hour
High Performance: Process hundreds of sources and generate multiple briefings simultaneously
Cost-effective: Enterprise-grade intelligence briefings for the price of a coffee

Build your automated intelligence briefing system on Tencent Cloud Lighthouse.