输入产品和市场即可。AdRadar 抓取当前正在跑赢的 Meta 广告（按投放天数和素材复用次数排序）以及 TikTok 热门广告，标出哪些钩子和卖点角度已经饱和，找出没人占领的空白，并写出 3 套可直接投放的原创广告方案：主文案、标题、15 秒视频脚本、创意简报和测试计划。
🔎 Audit your product before you invest. Analyze ecommerce profit margins, shipping and advertising costs, supplier risks, and cross-border trade considerations. Stress-test your assumptions, calculate profit scenarios, uncover missing information, and identify potential deal-breakers. Get a structured recommendation to test, negotiate, validate, or pause before committing your money. No guaranteed profits—just smarter, evidence-based decisions.
Analyze paid advertising, CRM and revenue data to find where ad spend stops turning into qualified leads, customers and revenue. ProfitLeak AI identifies funnel leaks, calculates key metrics and gives evidence-based actions to improve marketing efficiency.
I research current AI video pricing, credits, limits and purchase rules, then calculate your actual workload cost—including repeat generations. Get cost per finished video, cost per usable second, and the cheapest compatible route, with budget shortfalls clearly shown.
A bilingual AI accounting tutor for students, auditors, and entrepreneurs. Input any industry (e.g., SaaS, E-commerce, Retail) or scenario to receive clear IFRS breakdowns (IFRS 15/16), balanced double-entry journal entries, VAT/FX calculations, and practical audit tips. 專為會計學生、審計人員與創業者打造的雙語 AI 助手。輸入特定行業（如 SaaS、電商、零售）或交易情境，即刻白話解析 IFRS 核心準則（如 IFRS 15/16），自動生成精準平衡的複式記帳分錄（Double Entries），並提供外幣、增值稅拆解與實務審計防呆提示。
Paid ads advisor for performance marketers who need a diagnosis when ROAS drops, CPA spikes, or CVR falls — ranked hypotheses with confidence levels, not open-ended analysis. Routes to one of five task flows (Build / Diagnose / Decide / Report / Advise), applies the matching framework, and delivers structured output with stated assumptions. Unlike generic AI that asks 10 intake questions first, this outputs an immediate concrete deliverable — then refines with follow-up, not before.
Analyze and reduce AI workflow costs across tokens, model calls, tools, retries, APIs, and infrastructure — while protecting output quality.