# AI-Powered Content Pipeline Automation
import openai
import zapier

class ContentPipeline:
    def __init__(self):
        self.client = openai.OpenAI(api_key="your-key")
        self.zap = zapier.ZapierNLA()
    
    def create_content_workflow(self, topic):
        # Step 1: Research phase
        research = self.client.chat.completions.create(
            model="gpt-5",
            messages=[
                {"role": "system", "content": "Research expert"},
                {"role": "user", "content": f"Research {topic}"}
            ]
        )
        
        # Step 2: Outline generation
        outline = self.generate_outline(research.choices[0].message.content)
        
        # Step 3: Draft creation
        draft = self.generate_draft(outline)
        
        # Step 4: Automation triggers
        self.zap.create(
            "publish_article",
            data={"title": topic, "content": draft}
        )

## 🚀 Daily AI Productivity Routine 2026

MORNING (30 minutes)
├─ Email triage with AI categorization
├─ Schedule optimization using AI assistant
├─ Daily priority setting with predictive analysis

WORK SESSIONS
├─ Research phase: AI-powered information gathering
├─ Creation phase: AI-assisted content/design/code
├─ Review phase: Human + AI collaborative refinement
├─ Communication: AI-drafted messages with personal touch

EVENING (15 minutes)
├─ Meeting summaries automated
├─ Next day preparation with AI planning
├─ Learning: AI-curated skill development

WEEKLY (1 hour)
├─ Workflow optimization review
├─ New AI tool evaluation
├─ Prompt library refinement
├─ Performance metrics analysis

"Act as my productivity coach. Based on my role as [your role] and my goals of [your goals], create a personalized 30-day AI adoption plan that:
1. Identifies 3 high-impact areas for AI implementation
2. Provides specific tools and prompts for each
3. Includes measurable success criteria
4. Has a built-in learning curve with gradual complexity
5. Addresses my specific concerns about [your concerns]"