name: affiliate_intelligence description: "Orion researches a specific Amazon affiliate / review site opportunity. Produces a content calendar and monthly revenue model. Spawned by opportunity_scan when an affiliate opportunity is identified." debug: true model: power system: agent_prompt agent_prompt: - "= identity.md" sections: - agent - project - rag - message - instructions steps: - type: think max_tokens: 200 output_key: aff_search_1 hint: | You are researching an Amazon affiliate opportunity in the niche described in the task message above. Formulate ONE search query to find: - Amazon Associates commission rates for this product category - Top-selling products in this category (by review count or bestseller rank) - Average selling price range Include "Amazon Associates commission rate" and the niche name in your query. Output ONLY the search query. Nothing else. - type: tool capability: Tool_WebSearcher input_from: aff_search_1 mode: research max_results: 8 fetch_pages: 3 optional: true output_key: aff_data_1 - type: think max_tokens: 200 output_key: aff_search_2 hint: | Pass 2 -- Existing review sites. Formulate ONE query to find who is already winning with review content in this niche. Look for: - Top-ranked review sites for this category - How much content they have, what their top pages cover - Signs of affiliate revenue (disclosure notices, "best of" pages) Output ONLY the search query. Nothing else. - type: tool capability: Tool_WebSearcher input_from: aff_search_2 mode: research max_results: 8 fetch_pages: 3 optional: true output_key: aff_data_2 - type: think max_tokens: 200 output_key: aff_search_3 hint: | Pass 3 -- Keyword and content opportunity. Formulate ONE query to find long-tail buying-intent keywords this niche: - "best [product type] under $X" - "[product type] vs [product type] comparison" - "[product type] for [specific use case] review [year]" Look for gaps: questions that get asked but have no great answer online. Output ONLY the search query. Nothing else. - type: tool capability: Tool_WebSearcher input_from: aff_search_3 mode: research max_results: 6 fetch_pages: 2 optional: true output_key: aff_data_3 - type: think max_tokens: 200 output_key: aff_search_4 hint: | Pass 4 -- Community pain points and buying signals. Formulate ONE query to find what buyers in this niche say on Reddit or forums: - What they cannot find good reviews for - What makes them distrust existing review sites - What would make a review site their go-to resource Append "site:reddit.com" to force community results. Output ONLY the search query. Nothing else. - type: tool capability: Tool_WebSearcher input_from: aff_search_4 mode: research max_results: 6 fetch_pages: 2 optional: true output_key: aff_data_4 - type: think max_tokens: 10000 output_key: affiliate_brief_body hint: | You are Orion, Director of Research at Crimson Leaf Holdings. Produce a structured affiliate opportunity brief for the niche in the task message. === PASS 1: AMAZON COMMISSION AND PRODUCT DATA === {aff_data_1} === END PASS 1 === === PASS 2: EXISTING REVIEW SITES === {aff_data_2} === END PASS 2 === === PASS 3: KEYWORD AND CONTENT GAPS === {aff_data_3} === END PASS 3 === === PASS 4: COMMUNITY BUYING SIGNALS === {aff_data_4} === END PASS 4 === Cite every data point with [Title](URL). Label unverified estimates clearly. # Affiliate Intelligence Brief: [Niche Name] --- ## 1. Amazon Associates Overview - Product category: [exact Amazon category name] - Commission tier: [%] -- [cite Amazon Associates rate card if found] - Average product price range: $[X] to $[Y] - Top 5 products to review (by bestseller rank or review count): 1. [Product name] -- ~$[price] -- [why this is a strong review target] 2. [Product name] -- ~$[price] -- [why] 3. [Product name] -- ~$[price] -- [why] 4. [Product name] -- ~$[price] -- [why] 5. [Product name] -- ~$[price] -- [why] ## 2. Competitive Landscape [Top 3-5 existing review sites in this niche. For each: name, URL, estimated content volume, what they do well, what they miss. Cite each site URL directly.] White space: [What the existing sites are NOT covering well. This is where Crimson Leaf enters.] ## 3. Content Opportunity Map Top 10 article templates for this niche (these are the articles to write first): 1. "Best [product type] in [year] -- [N] Options Reviewed" -- [buying intent signal] 2. "[Product A] vs [Product B] -- Which Is Worth It?" -- [head-to-head comparison] 3. "Best [product type] Under $[price]" -- [budget segment] 4. "Best [product type] for [specific use case]" -- [niche down] 5. "[Product type] Buyer's Guide [year] -- What to Look For" -- [informational + conversion] 6-10. [Additional article templates based on keyword gaps found in Pass 3] ## 4. Monthly Revenue Model Assumptions (state all -- these are estimates unless a source is cited): - Articles published per month: [N] - Months to meaningful traffic (SEO ramp): [N months] - Average monthly traffic per article at steady state: [X visits] Source: [cite if found, otherwise "(industry average estimate)"] - Affiliate conversion rate: [Y%] Source: [cite if found, otherwise "(Amazon Associates average: 1-3%)"] - Average order value: $[Z] - Commission rate: [P%] Revenue per article per month: X visits x Y% conversion x $Z AOV x P% commission = $[result] Monthly revenue at [N] articles: $[result per article] x N articles = $[total] Timeline: - Month 1-3: $0 (building content, no traffic yet) - Month 4-6: $[estimate] (first traffic, first conversions) - Month 7-12: $[estimate] (ramp toward steady state) - Month 13+: $[steady state] target (if [N] articles published) Break-even: [N articles needed at $[revenue per article] to cover $[monthly cost]] ## 5. Crimson Leaf Fit Assessment - What CL agents can do today: [write reviews, research products, publish to Gitea] - What needs to be built: [domain setup, WordPress or static site, affiliate tracking links] - David's required involvement: [minimal -- approve domain purchase, set up affiliate account] - Speed advantage: [CL can publish N articles per week vs a solo human writer's 1-2] ## 6. Recommendation **START NOW** / **RESEARCH FURTHER** / **PASS** Rationale: [2-3 sentences grounded in the data above. If START NOW: what makes this niche worth entering in the next 30 days? If RESEARCH FURTHER: what specific question must be answered? If PASS: what structural barrier makes the economics unviable?] --- ## Sources [All URLs cited above, numbered. Format: N. [Title](URL) -- domain.com] BUSINESS_PLAN_FLAG: [write "BUSINESS_PLAN_NEEDED: true" if recommendation is START NOW, otherwise "BUSINESS_PLAN_NEEDED: false"] - type: document source_step: affiliate_brief_body dest_path: "deliverables/affiliate-intelligence/affiliate-brief-{task.id}.md" commit_msg: "research: affiliate brief task={task.id}" - type: close rag_update: true - type: tool action: enqueue_strategy optional: true condition: "BUSINESS_PLAN_NEEDED: true" params: company_slug: "crimson_leaf" project_slug: "incubation" task_type: "business_plan" content: "Develop a full business plan for the affiliate/review site opportunity from affiliate intelligence brief {task.id}. The full brief is in the deliverables folder. Build on it -- do not repeat the affiliate research." agent_name: "orion" - type: reply target: channel channel_name: "crimson_leaf:live-feed" hint: | Write a 2-3 line summary of the affiliate intelligence brief just completed. Include: niche, recommendation (START NOW/RESEARCH FURTHER/PASS), the monthly revenue target at steady state, and the top article template to write first. Example: "Affiliate brief complete: [niche] -- START NOW. Steady-state target: $[X]/month at [N] articles. First article: [title template]." adjudication: enabled: true pass_threshold: 70 deliverable_type: analysis criteria: revenue_model: weight: 40 description: "Monthly revenue model is present with stated assumptions. Break-even calculation shown. Numbers are labeled as estimates or cited." content_specificity: weight: 35 description: "Top 10 article templates are specific and actionable -- not generic placeholders. Products are named." competitive_analysis: weight: 25 description: "At least 3 existing review sites identified with actual URLs and gap analysis."