sprint85: research pipeline -- market_intelligence 5-pass, business_plan, affiliate_intelligence, opportunity_scan news mode, orion identity update
This commit is contained in:
David Baity
@@ -1,5 +1,5 @@
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name: opportunity_scan
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description: "Crimson Leaf opportunity research -- Orion hunts trends and white-space every 6 hours."
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description: "Crimson Leaf opportunity research -- Orion runs 4 targeted searches every hour: KDP charts, trending news, AI content market, and affiliate/review site opportunities."
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debug: true
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model: power
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system: agent_prompt
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@@ -11,98 +11,138 @@ sections:
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- agent
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- project
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- rag
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- prior_results
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- message
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- instructions
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builders:
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prior_results: |
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*** CURRENT PORTFOLIO ***
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{steps[0].text}
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*** WEB RESEARCH RESULTS ***
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{steps[2].text}
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(If web results are empty, use your training knowledge for market analysis.)
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steps:
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- type: tool
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action: get_portfolio_report
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output_key: portfolio_data
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- type: think
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max_tokens: 2000
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hint: |
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You are Orion, Director of Research at Crimson Leaf Holdings.
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Your job is to find the next big opportunity. Think about:
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- What content formats are trending? (books, courses, newsletters, podcasts)
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- What niches are underserved in AI-generated content?
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- What seasonal trends are coming up?
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Formulate the single best search query to find market opportunities.
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On the LAST LINE, write exactly:
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SEARCH QUERY: [your query]
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# --- Search 1: Amazon KDP bestseller charts ---
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- type: tool
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capability: Tool_WebSearcher
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input_from: last_text
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input: "Amazon KDP Kindle bestseller list romance fiction top 100 this week new releases"
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mode: research
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max_results: 8
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fetch_pages: 3
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optional: true
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output_key: kdp_trends
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# --- Search 2: Trending news topics with content potential ---
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- type: tool
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capability: Tool_WebSearcher
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input: "trending news topics viral stories this week content niche opportunities 2025"
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mode: news
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max_results: 8
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optional: true
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output_key: news_trends
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# --- Search 3: AI content and publishing market trends ---
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- type: tool
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capability: Tool_WebSearcher
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input: "AI content writing publishing trends 2025 self publishing income opportunities Substack newsletter"
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mode: research
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max_results: 8
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fetch_pages: 2
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optional: true
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output_key: ai_content_trends
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# --- Search 4: Amazon affiliate and review site opportunities ---
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- type: tool
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capability: Tool_WebSearcher
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input: "Amazon Associates affiliate review site high commission products niche 2025 best categories to review"
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mode: research
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max_results: 8
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fetch_pages: 3
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optional: true
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output_key: affiliate_trends
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- type: think
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max_tokens: 6000
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output_key: opportunity_analysis
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hint: |
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You are Orion, the Visionary. You have the portfolio report and web research above.
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You are Orion, Director of Research at Crimson Leaf Holdings.
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You have four intelligence feeds below. Synthesize them into a ranked opportunity list.
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Cross-reference what CL already produces with what the market wants.
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Think like Elon Musk -- first principles, not incrementalism.
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=== PORTFOLIO (what CL already has) ===
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{portfolio_data}
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Structure your analysis as:
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1. TOP 3 OPPORTUNITIES -- ranked by revenue potential vs. effort
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For each: what is it, why now, how CL could produce it, estimated effort
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2. PORTFOLIO GAPS -- what are our subsidiaries NOT doing that they should be?
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3. ACTION ITEMS -- specific things David needs to do
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=== KDP BESTSELLER SIGNALS ===
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{kdp_trends}
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(If empty: use your knowledge of current romance/fiction charts.)
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Format action items as: "David, [verb]: [details]"
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Be bold. Don't hedge. If an opportunity is real, say so with conviction.
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=== NEWS AND VIRAL TRENDS ===
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{news_trends}
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(If empty: use your knowledge of current cultural moment.)
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=== AI CONTENT AND PUBLISHING MARKET ===
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{ai_content_trends}
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=== AMAZON AFFILIATE AND REVIEW SITE OPPORTUNITIES ===
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{affiliate_trends}
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(Note: Amazon Associates pays 1-10% commission on referred purchases. A review
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site publishing AI-written product reviews with affiliate links is a distinct
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revenue stream from book sales -- lower effort, passive income.)
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Evaluate every signal against what CL can actually BUILD today:
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- CL has AI writing workers (books, articles, reviews)
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- CL has web search capability
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- CL has Gitea for publishing content
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- CL does NOT yet have a website, storefront, or affiliate account
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Structure your analysis:
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### BOOK / CONTENT OPPORTUNITIES
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Top 2 niches where CL should write books RIGHT NOW based on KDP charts or news trends.
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For each: niche, why now (cite a signal), estimated monthly revenue if in top 100.
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### AFFILIATE / REVIEW SITE OPPORTUNITY
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Best product category for a CL review site (based on affiliate feed).
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Consider: commission rate, search volume, competition, how AI-written reviews compete.
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Be specific -- "kitchen gadgets under $30" beats "electronics".
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Flag if this requires a new company (Crimson Leaf Reviews) or fits under an existing one.
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### PORTFOLIO GAPS
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What are our subsidiaries NOT doing that they should be doing this week?
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### ACTION ITEMS
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Format: "David, [verb]: [specific action]"
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Include at least one action item about the affiliate opportunity if it looks viable.
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Be direct. Cite data from the feeds. Don't hedge.
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- type: think
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max_tokens: 600
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output_key: opportunity_1_content
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hint: |
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From the opportunity analysis above, extract the SINGLE TOP opportunity.
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From the opportunity analysis above, extract the TOP BOOK/CONTENT opportunity.
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Write a complete market_intelligence task brief for it. This brief will be
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sent as the task message to Orion for deep research.
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Write a market_intelligence task brief:
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- What the opportunity is (1-2 sentences, cite the signal)
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- Why now (timing -- what just happened in the market)
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- Research questions: What does the KDP top 100 look like in this niche?
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Who are the top 5 authors and what do they charge? What tropes are selling?
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- CL entry angle: which agent writes this, which project slug to use
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The brief must include:
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- What the opportunity is (1-2 sentences)
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- Why now (1 sentence on timing/signal)
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- What market data to find (2-3 specific questions to answer)
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- What CL's potential entry angle might be (1 sentence)
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If the analysis found NO compelling new opportunity (all were already covered
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in the portfolio or too vague), output exactly: none
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Output ONLY the brief text or the word none. No preamble.
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If no compelling book opportunity was found, output exactly: none
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Output ONLY the brief or the word none. No preamble.
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- type: think
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max_tokens: 600
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output_key: opportunity_2_content
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hint: |
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From the opportunity analysis above, extract the SECOND-BEST opportunity
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(not the same as opportunity 1).
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From the opportunity analysis above, extract the AFFILIATE/REVIEW SITE opportunity.
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Write a complete market_intelligence task brief for it using the same format:
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- What the opportunity is
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- Why now
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- What market data to find
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- CL's potential entry angle
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Write an affiliate_intelligence task brief:
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- What the product category is and why it was selected
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- Amazon Associates commission rate for this category if found in the research
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- Key questions to answer: Who are the top review sites in this niche?
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What content gaps exist? How many articles needed for $500/month in commissions?
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- What Crimson Leaf would need to build: domain, content volume, affiliate account
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If there is no distinct second opportunity worth researching, output exactly: none
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Output ONLY the brief text or the word none. No preamble.
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If no compelling affiliate opportunity was found, output exactly: none
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Output ONLY the brief or the word none. No preamble.
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- type: tool
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action: enqueue_strategy
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@@ -119,34 +159,35 @@ steps:
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params:
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company_slug: "crimson_leaf"
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project_slug: "incubation"
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task_type: "market_intelligence"
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task_type: "affiliate_intelligence"
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content: "{opportunity_2_content}"
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- type: think
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max_tokens: 100
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output_key: dispatch_summary
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hint: |
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Count how many research tasks were commissioned this cycle.
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Look at opportunity_1_content and opportunity_2_content above.
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If both are not "none": output "Commissioned 2 research tasks."
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If only opportunity_1_content is not "none": output "Commissioned 1 research task."
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If both are "none": output "No research tasks commissioned -- no new opportunities found."
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If both are not "none": output "Commissioned 2 research tasks (market_intelligence + affiliate_intelligence)."
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If only opportunity_1_content is not "none": output "Commissioned 1 research task (book opportunity -- market_intelligence)."
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If only opportunity_2_content is not "none": output "Commissioned 1 research task (affiliate opportunity -- affiliate_intelligence)."
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If both are "none": output "No research tasks commissioned -- no new signals found."
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Output ONLY that sentence.
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- type: reply
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target: channel
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channel_name: "crimson_leaf:live-feed"
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hint: |
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Write a 3-5 line opportunity scan summary for Orion's report.
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Write a 4-6 line opportunity scan summary.
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Start with: "Opportunity scan complete. {dispatch_summary}"
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Then summarize:
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- The top opportunity found (or "no new opportunities" if none)
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- One key market signal with a citation if available
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Then cover:
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- Top book/content signal (niche + why now, cite source if available)
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- Top affiliate/review site signal (category + commission rate if found)
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- One portfolio gap identified
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- One action item for David
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Be concise and action-oriented.
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Be specific. Cite real data from the research. No filler.
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adjudication:
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enabled: false
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