LearnPrompt vs Genspark

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-09-29
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At a glance

DimensionLearnPromptGenspark
Pricing modelFree, open source (permanent)Freemium with paid tiers
Core deliverable47 tutorials across 8 learning paths, task-card templatesSparkpages, AI Slides/Sheets/Docs/Pods, AI Employee
Who it's built forDevelopers already using Claude Code / CodexResearchers, students, non-technical builders, small teams
Language & formatChinese, text-only, no videoEnglish UI, multi-modal output (docs, decks, podcasts, video)
Key integrationsClaude Code, Codex, Obsidian, GitHub, ChatGPT, Hermes/OpenClawGoogle Workspace, Microsoft 365, Canva, Figma
Standout 2026 signalNo recent news; static open-source wikiGenOffice open-source AI office suite (Aug 2026); open weights commitment
LearnPrompt
LearnPrompt

永久免费的中文 AI 实战 Wiki,教你把「想法→任务卡→Agent 交付→复盘」跑通真实项目

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Genspark
Genspark

Genspark is an AI search workspace that turns cited Sparkpage research into slides, sheets, dashboards, and no-code agents.

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Pricing
Free
Freemium
Plans
$0
$0/mo
$20/mo
$50/user/mo
Custom
Popularity
1 views
7.3k views
Skill Level
Intermediate
Beginner-friendly
API Available
Platforms
Web
WebMobileDesktop
Categories
💻 Code & Development🔬 Research & Education
🤖 AI Assistants🔬 Research & Education⚡ Productivity✨ Presentations & Slides📊 Spreadsheets & Excel AI❓ Document Q&A & Summarizing🤖 Automation & Agents
Features
8 条学习路径:AI 编程入门、Claude Code、Codex、Agent 工程等
47 篇教程,每篇标注一手来源与核验日期
任务卡模板:拆出输入、输出、失败态与验收标准
CLAUDE.md / AGENTS.md 项目规则写作指南
SKILL.md 写作指南:把重复流程包装为可复用 Skill
Agentic Coding 最小工作流:计划、改动、验证、复盘
Harness 五组件排查法,定位 Agent 跑偏缺失的那一层
Claude Code 与 Codex 执行面选型对比(CLI / IDE / 桌面 / Cloud)
Loop Engineering:为下一轮留下状态、验收结果和下一步
Obsidian AI 知识工作台:目录、索引与项目交接
Hermes / OpenClaw 长驻 Agent 架构导读与成本核算
可重放 Showcase:正常路径、失败场景与越界反例都要跑
开源课程,社区可贡献,支持 GitHub 协作
在线免费访问,无需注册
旧版 LearnPrompt 站点归档可回溯
Sparkpage synthesis turning web results into cited AI search summaries
Deep research mode with transparent source links and follow-up questions
Gen-1 Slides model purpose-built for generating work presentations
AI Employee for building no-code internal tools and automations
No-code custom agent creation without writing code
Genspark AI Workspace 6.0 agent workspace platform
Natural-language queries returning live, auto-refreshing dashboards
AI Sheets for data analysis, charts, and spreadsheet generation
AI Docs and AI Writer for long-form document generation
AI Podcast Generator and AI Music Generator for audio creation
AI Video Generator, Image to Video, and AI Video Summarizer
AI Voice Cloning and AI Text to Speech
AI Image Generator, AI Photo Editor, and AI Avatar Generator
Model menu spanning GPT Image 2, Nano Banana, Claude Sonnet 5, Grok 4.5, Seedream 5, and Seedance 2.5
GenOffice open-source AI office suite with agentic workflows
Integrations
Claude Code
Codex
Obsidian
ChatGPT
Hermes
OpenClaw
GitHub
Google Workspace
Canva
Figma
Microsoft 365

Feature-by-feature

The feature sets don't overlap. LearnPrompt ships 8 learning paths and 47 tutorials covering AI programming basics, Claude Code, Codex, Agent Engineering, Agent Skills, Loop Engineering, Obsidian AI, and Hermes/OpenClaw long-running agents. Its units are task cards — input, output, failure mode, acceptance criteria — plus writing guides for CLAUDE.md, AGENTS.md, and SKILL.md, a Harness five-component troubleshooting method, a Claude Code vs Codex execution-surface comparison (CLI/IDE/desktop/Cloud), and replayable showcases that run both happy paths and out-of-bounds counter-examples. Everything is sourced with first-hand citations and verification dates. Genspark is a production workspace: Sparkpage synthesis with citations, deep research mode, conversational AI search, AI Slides with Canva/Figma, AI Sheets, AI Docs, AI Pods for podcasts, Clip Genius for video, AI Designer, an AI Browser with ad blocking, and — via AI Workspace 6.0 — AI Employee and Super Agents for building no-code internal tools. The August 2026 GenOffice release added an open-source AI office suite with agentic workflows. In short: LearnPrompt teaches you to build agentic workflows; Genspark gives you agents and outputs already assembled. One is a curriculum, the other is a toolbox — and neither substitutes for the other.

Pricing compared

LearnPrompt is free and open source, permanently — the site says the content is not monetized, hosted on GitHub, with older course versions archived and contribution open via email or WeChat. There is no paid tier to compare, no seat count, and no usage meter. Genspark is freemium: a free tier exists, with paid plans gating heavier usage and premium capabilities (the static facts don't list exact plan prices, so check the current pricing page before committing). Practically, the cost calculus differs in kind rather than degree. LearnPrompt costs you time and Chinese-language reading; the ROI is whatever you save by not re-discovering Claude Code/Codex workflow patterns on your own. Genspark costs you a subscription once you outgrow free limits, traded against output volume — Sparkpages, decks, sheets, podcasts, video, and no-code internal tools. If your budget is zero and your competence is already developer-level, LearnPrompt is genuinely free. If you need generated outputs at team scale and can pay for them, Genspark's freemium ladder is the relevant axis. Comparing their dollar figures is meaningless because one's price is $0 forever and the other's depends on how much you produce.

Who should pick which

  • Developer already using Claude Code or Codex
    Pick: LearnPrompt

    The wiki's CLAUDE.md/AGENTS.md/SKILL.md guides and Harness troubleshooting method directly target messy existing workflows, and it's free.

  • Technical decision-maker choosing between Claude Code and Codex execution surfaces
    Pick: LearnPrompt

    It publishes a dedicated CLI/IDE/desktop/Cloud comparison and Loop Engineering patterns you won't find assembled elsewhere at no cost.

  • Researcher or student needing synthesized, cited answers
    Pick: Genspark

    Sparkpages and deep research mode return cited summaries rather than raw links; LearnPrompt has no search or synthesis product.

  • Non-technical builder making internal tools
    Pick: Genspark

    AI Employee and Super Agents are no-code; LearnPrompt explicitly targets people who already run terminals and Git.

  • Small team on Google Workspace or Microsoft 365 producing decks, docs, and podcasts
    Pick: Genspark

    Native integrations with both suites plus AI Slides, Docs, Pods, and Clip Genius cover the full output pipeline in one account.

Frequently Asked Questions

Can LearnPrompt teach me to use Genspark?

No. LearnPrompt's content covers Claude Code, Codex, Agent Skills, Loop Engineering, Obsidian, and Hermes/OpenClaw. Genspark's Sparkpages, AI Employee, and GenOffice suite are not part of its curriculum.

Is LearnPrompt actually free forever, or is there a hidden upsell?

The listing states permanent free and open source, maintained by Carl on GitHub with open contribution. There are no certificates, no video tier, and no paid plan described.

Does Genspark help me write SKILL.md or AGENTS.md files?

Not as a documented feature. It's a workspace for search synthesis, document/deck/sheet generation, no-code agents, and an open-source office suite — not an agentic-coding curriculum.

Which one is better for a complete beginner who has never used a terminal?

Neither, strictly speaking. LearnPrompt explicitly excludes zero-beginners and anyone who hasn't run Git or a terminal. Genspark is usable but aimed at knowledge workers, not coding newcomers.

What does Genspark's open-source GenOffice mean for pricing?

The August 2026 announcement describes GenOffice as an open-source AI office suite with agentic workflows. It doesn't automatically make the whole Genspark workspace free — verify current plan terms on their site.

I need live stock prices or sports scores. Does either work?

Genspark's own not-for list includes real-time data like stock prices and live sports scores. LearnPrompt doesn't provide data feeds at all — it's a static tutorial wiki.

Can I use both?

Yes, but not as substitutes. LearnPrompt builds your agentic-coding discipline; Genspark handles research synthesis and office output. Different jobs, no conflict.

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Last reviewed: September 21, 2026