Researching AI News

Companies to Track

• OpenAI
• Anthropic
• Google DeepMind / Google AI
• Meta AI / FAIR
• xAI

• Microsoft AI
• Amazon AWS AI / Bedrock
• Nvidia
• Apple (Apple Intelligence)
• Salesforce (Einstein AI)
• IBM (watsonx)

• Mistral AI
• Cohere
• Stability AI
• Runway
• Hugging Face
• Perplexity AI
• Other emerging labs

Topics to Cover

1. Product launches & updates - New models, features, API changes
2. Research breakthroughs - Papers, benchmarks, capabilities
3. Regulations & policy - Government actions, safety initiatives, legal developments
4. Industry trends - Funding, partnerships, acquisitions, market moves
5. Enterprise AI adoption - Real-world implementations, case studies, ROI reports

Research Workflow

Step 1: Run Perplexity Searches

mcp__perplexity__perplexity_search

• Best for quick, targeted queries with ranked results
• Returns titles, URLs, snippets, and metadata
• Use

  max_results: 10

  for comprehensive coverage

mcp__perplexity__perplexity_research

• Use for complex topics requiring synthesis across sources
• Returns comprehensive analysis with citations
• Best for industry trends and regulatory developments

Search Queries

mcp__perplexity__perplexity_search

Company news (run in parallel):
- "OpenAI announcement news December 2024"
- "Anthropic Claude news December 2024"
- "Google Gemini AI news December 2024"
- "Microsoft AI Copilot news December 2024"
- "Meta Llama AI news December 2024"
- "Nvidia AI news December 2024"
- "xAI Grok news December 2024"
- "Amazon AWS Bedrock AI news December 2024"
- "Mistral AI news December 2024"
- "Apple Intelligence news December 2024"

Industry topics (run in parallel):
- "AI regulation policy news December 2024"
- "AI research breakthrough news December 2024"
- "AI startup funding investment news December 2024"
- "enterprise AI deployment case study 2024"

mcp__perplexity__perplexity_research

{
  "messages": [
    {"role": "user", "content": "What are the most significant AI industry developments in the last 48 hours? Include product launches, research breakthroughs, regulatory changes, and major funding announcements. Focus on verified announcements from official sources."}
  ]
}

Step 2: Filter for Recency

Step 3: Deduplicate Results

• Identify stories appearing across multiple searches
• Consolidate duplicate stories into a single entry
• Use the most authoritative source (official blog > news outlet > aggregator)
• Note if multiple sources are covering the same story (indicates higher significance)

Step 4: Verify Major Claims

• Cross-reference against official company blogs, press releases, or verified social accounts
• Check if the story has been confirmed by multiple reputable sources
• Flag unverified or single-source stories as "Developing" or "Unconfirmed"

Step 5: Compile Results

## AI News - [Date]

### Company Updates
- **[Company]**: [Brief summary of news] ([Source](url))
- **[Company]**: [Brief summary of news] ([Source](url))

### Product Launches
- [Product/feature description] ([Source](url))

### Research & Breakthroughs
- [Research summary] ([Source](url))

### Regulation & Policy
- [Policy development] ([Source](url))

### Enterprise Adoption
- [Company/industry implementation story] ([Source](url))

### Industry Trends
- [Trend/funding/partnership] ([Source](url))

Step 6: Prioritize

1. Major model releases or capabilities
2. Significant policy/regulatory changes
3. Large funding rounds or acquisitions
4. Research breakthroughs
5. Enterprise adoption stories with measurable outcomes
6. Product updates and features

Output Guidelines

• Keep summaries to 1-2 sentences per story
• Always include source links
• Group related stories together
• Note if a category has no news ("No significant updates")
• Flag breaking/developing stories with "[DEVELOPING]" prefix
• Flag unverified stories with "[UNCONFIRMED]" prefix
• Prefer official sources over secondary coverage

Perplexity MCP Tools Reference

mcp__perplexity__perplexity_search

mcp__perplexity__perplexity_research

mcp__perplexity__perplexity_ask

Search Tips

• Use company + product names for precision ("Claude 3.5", "GPT-4o", "Gemini 2.0")
• Include current month/year in queries for better recency filtering
• Run company searches in parallel for efficiency
• Use

  perplexity_research

  for synthesizing trends across multiple sources
• Perplexity automatically includes citations - preserve these in output
• For verification, use

  perplexity_ask

  to confirm details from official sources