0d0b83f98c
Add three new sections to all 14 examples: - "Carry Forward": what output feeds into later examples (01-10) - "The Cumulative Path": alternative prompt building on previous output (02-10) - "Now Try It Yourself": personalized template with transferable pattern (all) - "Building On" callout connecting back to previous examples (02-10) Add Example 14: Build Your Personal Agent - capstone that guides reader through writing their own CLAUDE.md, creating a personal skill, connecting a messaging channel, setting up automation, and testing end-to-end. Update README with cumulative path diagram, two usage modes, and example 14. Update GETTING-STARTED.md with cross-references to relevant examples. 17 files changed, 703+ lines added. The examples now form a coherent learning path from "see what it can do" to "build your own agent." Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
112 lines
3.5 KiB
Markdown
112 lines
3.5 KiB
Markdown
# Example 01: Agent Runtime
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**Capability:** Claude Code executes tools autonomously, streams output as it works,
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and loops until the task is complete. No user input needed between steps.
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**OpenClaw equivalent:** Long-running daemon with tool execution and streaming output.
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---
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## The Prompt
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```
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Research the top 3 AI frameworks released this month, compare their GitHub stars,
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and write a summary to research-output.md
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For each framework include:
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- Name and release date
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- GitHub URL and current star count
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- One sentence on what problem it solves
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- Your verdict on whether it's worth watching
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End the file with a "Verdict" section that ranks all three.
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```
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---
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## What Happens
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Claude Code will:
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1. Use WebSearch to find AI framework releases from the current month
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2. Use WebFetch to retrieve GitHub pages and extract star counts
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3. Loop through each framework, gathering data tool call by tool call
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4. Use Write to create `research-output.md` with the structured summary
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5. Report completion with a summary of what was written
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You will see each tool call streamed as it happens. Claude does not ask for
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confirmation between steps unless it hits something ambiguous.
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---
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## Expected Output
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After 30-60 seconds, you should see a new file `research-output.md` in the
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project root. It will look something like this (content varies by month):
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```markdown
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# AI Frameworks Released This Month
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## 1. ExampleFramework
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- **Released:** March 12, 2026
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- **GitHub:** https://github.com/example/framework (4,200 stars)
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- **What it solves:** Simplifies multi-agent orchestration for Python developers.
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- **Verdict:** Worth watching. Growing fast with strong community momentum.
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## 2. ...
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## Verdict
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1. ExampleFramework - most practical for production use
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2. ...
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```
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**How you know it worked:**
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- A file called `research-output.md` exists in the project root
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- It contains 3 frameworks with star counts and URLs
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- It ends with a ranked Verdict section
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- You saw WebSearch and WebFetch tool calls streaming in the terminal
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---
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## Why This Matters
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This is the agent loop in action: plan, execute, observe, repeat. The same
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loop that runs a 300-step pipeline also runs this 5-step research task.
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The difference is only scale.
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Claude Code v2.1.84 added adaptive thinking, which adjusts reasoning depth
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automatically. Complex sub-tasks get more thought; simple ones proceed fast.
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---
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## Carry Forward
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You just built `research-output.md`. Hold onto it.
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- **Example 02** organizes raw output like this into a structured project
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- **Example 06** sends research through a multi-agent review cycle
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- **Example 10** uses this exact capability as step 1 of a full pipeline
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Every example builds on the same core loop: Claude plans, executes tools, observes results, and repeats until done. The task changes. The pattern does not.
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---
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## Now Try It Yourself
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The demo researched AI frameworks. Replace the topic with something you actually need:
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```
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Research the top 3 [your topic] this [time period]. For each, include:
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- [what you need to know]
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- [specific data points: URLs, numbers, dates]
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- Your verdict on [your evaluation criteria]
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Write the summary to research-output.md with a ranked Verdict section at the end.
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```
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**The pattern you just learned:** research question + output structure + file destination. Claude handles everything between the question and the written answer.
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Ideas worth trying:
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- Competitors in your market and their latest announcements
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- Tools for a workflow you want to improve
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- Developments in a technology you are evaluating for work
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