几分钟内创建为受众量身定制的演示文稿

Deckster 是一款以内容为核心的 AI 演示文稿创作工具，可帮助你将想法转化为内容清晰、贴合任何受众、场景和目标的专业演示文稿。

Deckster 如何运作？

分享你的目标和关键细节

先提供你的目标，以及你希望 Deckster 用来生成演示的原始材料，例如文本、数据文件、已有演示或链接。

获得结构化的项目语境

Deckster 会把原始输入转化为结构清晰的沟通语境，包括目标、事实、风险、异议、论点等，并根据目标受众进行个性化处理，成为后续演示的核心基础。

用 Deckster 强化你的语境

沟通永远有提升空间。Deckster 会识别你的沟通策略哪里还不够扎实，并指出该如何补强。

个性化你的演示输出

你可以创建全新的演示，也可以基于已有成果继续推进。根据受众、时长、语言和附加说明进行调整，设置简单，但控制空间非常大。

先审阅再批准大纲

在生成幻灯片之前，Deckster 会先让你审阅并批准大纲，包括对未来页面内容的高层预览。你可以调整单页方向、拆分或合并页面。

打磨幻灯片并导出

你可以在 Deckster 中继续打磨最终页面，然后导出为可编辑的原生 PPTX 或 Google Slides 文件，或直接在 Deckster 中演示。

演示示例

Prompt

Convince C-level leadership at Deckster to approve a limited pilot migration from Mixpanel to PostHog for product analytics and experimentation infrastructure. We currently use Mixpanel as our main product analytics tool at Deckster, mainly for funnels, event tracking, retention, and general product analysis. It works well, but over time I see several limitations: cost grows fast with usage, experimentation is fragmented because A/B testing is not naturally part of the same system, and overall we increasingly need more flexibility around product analytics infrastructure. PostHog looks interesting because it is not only analytics — it also includes feature flags, A/B testing, session recordings, and other product tools in one ecosystem. It is significantly cheaper at our scale, open source, and if needed can even be self-hosted later, which gives strategic optionality. My proposal is not full migration, but approval for a limited pilot: replicate one important funnel in PostHog, run parallel tracking for several weeks, test one experiment through its native feature flag system, and evaluate whether data quality, usability, engineering effort, and economics justify deeper migration. The ask is small: limited engineering support and product time to test the waters before making a larger infrastructure decision.