AI Content Creation

Inspired Writing

Honghao Wang

— 4 min read
Inspired Writing

Programmatic Writing with AI — A Practical Guide

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I’ve proposed a concept called programmatic writing — using AI to handle writing tasks in structured, modular steps.

With a tool like Claude Code, you:

  • Provide concise reference materials and clear instructions.
  • Let AI design a work plan.
  • Generate an outline first.
  • Write the full text block by block.

Simple in theory — but many still ask:

> “How do you actually use AI to write?”

> “What exactly is programmatic writing?”

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The Challenge

The original method had a high entry barrier:

  • Claude account registration required.
  • Knowledge of an IDE (Cursor, VS Code), terminal commands, and local environment setup.
  • Steep learning curve for non-technical users.

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The Solution: Cherry Studio + Kimi’s K2 Thinking

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  • Cherry Studio — an open-source third-party model client with built-in programming agent support and Claude Code SDK integration.
  • You can switch to Kimi’s K2 Thinking model inside Cherry Studio — no Claude account, no terminal commands, no local setup.
  • K2 Thinking’s domestic chain-of-thought capability excels at complex tasks — and it’s independent from Anthropic.

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Case Study: Writing the Peter Thiel Article

The piece “Peter Thiel Is China’s ‘Dream-Chaser Insulter’” was entirely created using this new workflow.

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Step 1 — Inspiration-Based Writing

1. Capture Inspiration Fragments

  • Spent 2–3 days reading Thiel’s work + podcasts.
  • Recorded spontaneous fragmented ideas using DingTalk A1 audio card:
  • Press to record, release to stop.
  • Auto-sends to chat.
  • One-click text transcription.
  • Compiled ideas + excerpts + AI’s early responses into `Peter Thiel资料.txt`.
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2. Create a Project Folder

  • Contained:
  • `Peter Thiel资料.txt`
  • A Thiel article
  • VC statement on tech stagnation
  • Emails with Zuckerberg
  • Latest interview

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Step 2 — Reference Setup

  • Style sample: Hyping Immortal Sun Yuchen
  • Uber founder anecdote:
  • About Chinese companies driving innovation.
  • Extracted podcast segment for AI citation.
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Step 3 — Give AI Clear Instructions

Core Viewpoint

> Peter Thiel is a “media teacher” — he can ID problems but can’t solve America’s decline.

Primary Reference File

`Peter Thiel Materials.txt`

Style Guide

Follow Hyping Immortal Sun Yuchen tone.

Required Citation

Uber founder’s comments on Chinese competition.

Workflow

  • Create project documentation.
  • Draft outline.

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Reference Files

  • `Peter Thiel Materials.txt` — curated notes + excerpts + thoughts.
  • `Hyping Immortal Sun Yuchen.txt` — style guide.
  • `Uber Case.md` — source for Chinese competition remarks.

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Step 4 — Modular Writing

  • AI writes 300–400 words per block → prevents hallucination.
  • Outline confirmed before writing.
  • Post-editing: Changed title to “China’s Humiliating Dream-Chaser”, updated related phrasing.
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Technical Note

  • Cherry Studio Beta → Possible API context-length errors.
  • Solution: `/clear` → restart from core files + outline → better results.
  • Insight: Clearing memory can enhance focus — for AI and humans.

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Efficiency & Cost

  • 5,000 words in ~2 hours (with breaks).
  • Cost:
  • K2 Thinking Turbo: ~10 RMB.
  • Standard K2 Thinking: ~3 RMB.
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Methodology Shift — Inspiration > Execution

Old Way

  • Must articulate complete 10+ minute recordings before AI works.
  • High expressive requirement, low spontaneity.

New Way

  • Record fragments anytime.
  • No need for completeness.
  • AI structures → outlines → writes.

Result:

Lower barrier + preserved spontaneity.

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Quick Start Guide — Inspiration-Driven Writing

Step 1 — Install Tools

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Step 2 — Prepare Project Files

  • Core idea compilation — excerpts + notes + AI insights.
  • Background resources — only essential materials.
  • Style reference — one quality article.

Step 3 — Execute

  • Launch Claude Code assistant in Cherry Studio.
  • Explain intent, scope, length, references.
  • Let AI scan resources → build outline → write in blocks.

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Mindset Shift

Before → Complete articulation first.

Now → Capture messy fragments instantly.

AI’s job: connect those raw sparks into coherent work.

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Scaling Up — Multi-Platform Publishing

For creators who want instant distribution:

  • AiToEarn官网 — open-source platform linking:
  • AI generation
  • Cross-platform publishing
  • Analytics
  • Model ranking
  • Publish simultaneously to:
  • Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, X.

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Key Takeaways

  • ✅ Focus on inspiration — capture fragments.
  • ✅ Keep project files lean and essential.
  • ✅ Use AI for structure and modular drafting.
  • ✅ Let tools like Cherry Studio + K2 Thinking remove technical barriers.
  • ✅ Integrate with publishing platforms for reach.

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Do you want me to create a one-page visual workflow diagram for this method so you can follow it more easily? That could make it easier to replicate step-by-step.

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