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Find micro-SaaS opportunities for me in recent AI product launches. About me: {{builder profile}} Focus areas: {{focus areas}} Time window: the last {{days}} days Work in two rounds and use web search. Every fact about a product (pricing, traction, complaints) needs a source link. If you cannot find something, write "not found" instead of estimating. Label your own judgments as inference. Round 1: Scan Find 10 AI products in my focus areas that launched or gained clear traction in the time window, from sources such as Product Hunt, Hacker News, Reddit and X. Prefer products with a paid tier; include a free product only if its comments show people would pay for it. Give one table row per product: | Product | Problem it solves | Who pays | Pricing (link) | Traction signal (link) | Top user complaint (link) | Then name the 3 products whose complaints point to the clearest gap a builder like me could fill, with one sentence each on why. Stop here and wait for me to choose which ones to continue with. Round 2: Opportunity brief, for each one I choose 1. The pain: who has it, and evidence they already pay to solve it. 2. Why current products fall short, quoting real reviews or comments. 3. The wedge: one narrow thing to do better, and why incumbents are unlikely to copy it soon. 4. MVP: the smallest version that removes the pain and fits my profile in 2 weeks. List what to leave out. 5. Pricing: a launch price anchored to the competitor prices you found. 6. First 50 users: 2–3 specific communities or channels, with links. 7. 7-day validation: one test per day, each with a pass/fail threshold set before running it. 8. Kill criteria: the results that mean I should drop this idea. End with a one-line verdict for each opportunity: pursue, test first, or skip.

Help me decide between {{option A}} and {{option B}}. Goal: {{goal}} Constraints: {{constraints}} 1. Name the 2–4 criteria that actually separate these options for my goal, and rate each high, medium or low in importance given my constraints. Skip criteria that would not change the answer. 2. For each criterion, say which option is stronger and why. Write "unknown" where it depends on information I have not given. 3. Say how reversible each choice is and what switching later would cost. 4. Name what would flip the decision: the facts or results that would make the other option the better one. 5. Recommend A, B, or neither (with a better path), and give the cheapest test most likely to change that recommendation. Do not give numeric scores or totals. Do not invent performance data, prices or benchmarks; if a number matters, say where to check it. Keep it brief.

Create a research plan for this question: {{question}} Break it into answerable subquestions. For each, suggest evidence to seek and a method to evaluate it. Identify likely biases and what would change the conclusion. Do not fabricate sources or findings.