Pick a use case below. Get the pattern, the tools, and starter code — all based on 7,698 real workflows.
+ Pick a use case below. Get the pattern, the tools, and starter code — all based on 15 real workflows.
@@ -217,8 +217,8 @@
-
-
2,592
Unique Patterns Found
+
+
@@ -231,80 +231,80 @@
Most Common Patterns
ai →
deliver.
The specific tool doesn't matter — what matters is the structure.
- These are the 10 most frequent patterns across all 7,698 workflows.
+ These are the 10 most frequent patterns across all 15 workflows.
-
trigger → transform → api → logic
+
trigger → api → transform → data
- 187x
- httpRequest, splitOut, if, filter, filter, set
+ 2x
+ scheduleTrigger, httpRequest, html, code, googleSheets
-
other → trigger
+
trigger → ai → transform → deliver
- 116x
- mcpTrigger, bubbleTool, bubbleTool, bubbleTool
+ 1x
+ errorTrigger, set, lmChatGoogleGemini, googleSheetsTrigger, set, chainLlm
-
trigger → transform → api
+
trigger → ai → data → transform → api
- 95x
- httpRequest, httpRequest, code, set, set, httpRequest
+ 1x
+ chatTrigger, memoryBufferWindow, set, nocoDbTool, set, httpRequest
-
api → trigger
+
ai → trigger → storage → transform → deliver → data
- 85x
- mcpTrigger, httpRequestTool, httpRequestTool, httpRequestTool, httpRequestTool, httpRequestTool
+ 1x
+ lmChatOpenAi, agent, agent, agent, agent, gmail
-
trigger → transform → logic → api
+
trigger → ai → data
- 63x
- gmailTrigger, code, set, if, httpRequest, httpRequest
+ 1x
+ manualTrigger, lmChatOpenAi, outputParserStructured, agent, googleSheets, googleSheets
-
trigger → ai
+
trigger → ai → api → transform → storage → deliver → data
- 62x
- chatTrigger, agent, mcpClientTool, mcpClientTool, lmChatOpenAi
+ 1x
+ convertToFile, agent, googleDrive, googleSheets, telegram, telegramTrigger
-
trigger → other
+
trigger → transform → api → data
- 50x
- manualTrigger, powerBi, powerBi
+ 1x
+ manualTrigger, set, httpRequest, html, code, googleSheets
-
trigger → transform
+
ai → trigger → deliver → transform → logic → api
- 49x
- executeWorkflowTrigger, set, set, httpRequest
+ 1x
+ code, removeDuplicates, removeDuplicates, splitOut, aggregate, httpRequest
-
trigger → transform → logic
+
trigger → storage → api → transform
- 48x
- set, merge, merge, scheduleTrigger, scheduleTrigger
+ 1x
+ manualTrigger, googleDrive, googleDrive, httpRequest, httpRequest, function
-
trigger → api → transform → data
+
ai → trigger → logic → deliver → transform → api
- 47x
- formTrigger, googleSheets, httpRequest, code
+ 1x
+ openAi, httpRequest, openAi, splitOut, httpRequest, set
@@ -327,121 +327,121 @@
Most-Used Tools
HTTP Request |
api |
Call any REST API endpoint |
-
11,055 |
+
24 |
+
+
+ | Set Fields |
+ transform |
+ Assign or rename data fields |
+ 16 |
| Code (JavaScript/Python) |
transform |
Custom code for any transformation |
- 10,428 |
+ 13 |
- | Set Fields |
- transform |
- Assign or rename data fields |
- 9,546 |
+ AI Agent |
+ ai |
+ Autonomous AI agent with tool access |
+ 11 |
- | If Condition |
- logic |
- Branch workflow based on conditions |
- 6,160 |
+ Telegram |
+ deliver |
+ Send messages via Telegram |
+ 11 |
| Google Sheets |
data |
Read/write spreadsheet data |
- 5,604 |
+ 10 |
- | AI Agent |
- ai |
- Autonomous AI agent with tool access |
- 4,310 |
+ If Condition |
+ logic |
+ Branch workflow based on conditions |
+ 10 |
| OpenAI Chat |
ai |
GPT-4o / GPT-4 language model |
- 3,268 |
+ 7 |
- | Telegram |
- deliver |
- Send messages via Telegram |
- 2,560 |
-
-
- | Gmail |
- deliver |
- Send or read emails via Gmail |
- 2,391 |
+ Google Drive |
+ storage |
+ Upload/download files from Drive |
+ 5 |
- | Schedule Trigger |
+ Manual Trigger |
trigger |
- Run workflow on a schedule |
- 2,324 |
+ Start workflow with a button click |
+ 5 |
- | Merge |
+ Split In Batches |
logic |
- Combine data from multiple branches |
- 2,296 |
+ Process items in smaller groups |
+ 5 |
- | Structured Output |
+ Google Gemini |
ai |
- Parse AI output into structured data |
- 1,999 |
+ Gemini language model |
+ 4 |
- | Split In Batches |
- logic |
- Process items in smaller groups |
- 1,854 |
+ LLM Chain |
+ ai |
+ Chain multiple AI prompts together |
+ 4 |
- | Manual Trigger |
- trigger |
- Start workflow with a button click |
- 1,839 |
+ vectorStorePinecone |
+ other |
+ |
+ 4 |
- | OpenAI |
+ Structured Output |
ai |
- Direct OpenAI API calls |
- 1,832 |
+ Parse AI output into structured data |
+ 4 |
- | Google Drive |
- storage |
- Upload/download files from Drive |
- 1,779 |
+ Gmail |
+ deliver |
+ Send or read emails via Gmail |
+ 3 |
+
+
+ | Chat Memory |
+ ai |
+ Remember conversation history |
+ 3 |
- | httpRequestTool |
+ Telegram Trigger |
+ trigger |
+ React to Telegram messages |
+ 3 |
+
+
+ | html |
other |
|
- 1,693 |
+ 3 |
| Split Out |
transform |
Split arrays into individual items |
- 1,582 |
-
-
- | Webhook |
- trigger |
- Receive HTTP requests as triggers |
- 1,525 |
-
-
- | Switch |
- logic |
- Route to different paths by value |
- 1,491 |
+ 3 |
@@ -461,8 +461,8 @@
Most-Used Tools
new Chart(document.getElementById('patChart'), {
type:'bar',
data:{
- labels:["trigger -> transform -> api -> logic", "other -> trigger", "trigger -> transform -> api", "api -> trigger", "trigger -> transform -> logic -> api", "trigger -> ai", "trigger -> other", "trigger -> transform", "trigger -> transform -> logic", "trigger -> api -> transform -> data"],
- datasets:[{ data:[187, 116, 95, 85, 63, 62, 50, 49, 48, 47], backgroundColor:'#58a6ff', borderRadius:3 }]
+ labels:["trigger -> api -> transform -> data", "trigger -> ai -> transform -> deliver", "trigger -> ai -> data -> transform -> api", "ai -> trigger -> storage -> transform -> deliver -> data", "trigger -> ai -> data", "trigger -> ai -> api -> transform -> storage -> deliver -> data", "trigger -> transform -> api -> data", "ai -> trigger -> deliver -> transform -> logic -> api", "trigger -> storage -> api -> transform", "ai -> trigger -> logic -> deliver -> transform -> api"],
+ datasets:[{ data:[2, 1, 1, 1, 1, 1, 1, 1, 1, 1], backgroundColor:'#58a6ff', borderRadius:3 }]
},
options:{
indexAxis:'y', responsive:true, maintainAspectRatio:false,
@@ -539,10 +539,14 @@
Most-Used Tools
"MCP tool design"
],
"claude_code": "Claude agent + MCP servers for data access + CLAUDE.md for behavior",
- "count": 2816,
- "pct": 36.58093011171733,
- "avg_nodes": 18.986150568181817,
- "example": null
+ "count": 6,
+ "pct": 40.0,
+ "avg_nodes": 20.666666666666668,
+ "example": {
+ "path": "examples/ai-chatbot",
+ "label": "Runnable Example",
+ "desc": "22 tests, Claude API streaming, 5 personas, conversation memory \u2014 ready to run"
+ }
},
{
"name": "AI Content Creation",
@@ -607,9 +611,9 @@
Most-Used Tools
"Modular workflow design"
],
"claude_code": "Cron trigger + Claude agent for content + MCP server for delivery",
- "count": 2150,
- "pct": 27.929332294102366,
- "avg_nodes": 19.02093023255814,
+ "count": 7,
+ "pct": 46.666666666666664,
+ "avg_nodes": 19.0,
"example": {
"path": "examples/ai-content-creation",
"label": "Runnable Example",
@@ -679,9 +683,9 @@
Most-Used Tools
"Scheduled jobs"
],
"claude_code": "Python script + MCP server for data sources + cron scheduler",
- "count": 1127,
- "pct": 14.640166276955052,
- "avg_nodes": 13.283052351375332,
+ "count": 3,
+ "pct": 20.0,
+ "avg_nodes": 5.0,
"example": null
},
{
@@ -747,9 +751,9 @@
Most-Used Tools
"Rate limiting"
],
"claude_code": "Claude agent for content + MCP servers for each platform",
- "count": 1300,
- "pct": 16.887503247596776,
- "avg_nodes": 20.173076923076923,
+ "count": 4,
+ "pct": 26.666666666666668,
+ "avg_nodes": 19.25,
"example": null
},
{
@@ -814,9 +818,9 @@
Most-Used Tools
"App passwords"
],
"claude_code": "MCP server for email + trigger script + optional Claude for personalization",
- "count": 1329,
- "pct": 17.26422447388932,
- "avg_nodes": 16.494356659142213,
+ "count": 0,
+ "pct": 0.0,
+ "avg_nodes": 0.0,
"example": null
},
{
@@ -882,9 +886,9 @@
Most-Used Tools
"File processing"
],
"claude_code": "Claude agent with file tools + MCP server for storage",
- "count": 1096,
- "pct": 14.237464276435437,
- "avg_nodes": 23.598540145985403,
+ "count": 5,
+ "pct": 33.33333333333333,
+ "avg_nodes": 24.8,
"example": null
},
{
@@ -950,9 +954,9 @@
Most-Used Tools
"Error handling"
],
"claude_code": "MCP server wrapping the API + Python transform script + data MCP server",
- "count": 738,
- "pct": 9.586905689789555,
- "avg_nodes": 13.462059620596206,
+ "count": 3,
+ "pct": 20.0,
+ "avg_nodes": 5.0,
"example": null
},
{
@@ -1018,9 +1022,9 @@
Most-Used Tools
"Report delivery"
],
"claude_code": "Claude agent + MCP server for data access + analysis skill",
- "count": 734,
- "pct": 9.534944141335412,
- "avg_nodes": 18.88283378746594,
+ "count": 2,
+ "pct": 13.333333333333334,
+ "avg_nodes": 21.5,
"example": null
},
{
@@ -1086,9 +1090,9 @@
Most-Used Tools
"Webhook handlers"
],
"claude_code": "MCP server for CRM + Claude agent for scoring + webhook trigger",
- "count": 536,
- "pct": 6.962847492855287,
- "avg_nodes": 16.145522388059703,
+ "count": 0,
+ "pct": 0.0,
+ "avg_nodes": 0.0,
"example": null
},
{
@@ -1154,9 +1158,9 @@
Most-Used Tools
"Slack webhooks"
],
"claude_code": "Cron job + Python script + MCP server for notifications",
- "count": 591,
- "pct": 7.677318784099767,
- "avg_nodes": 12.71404399323181,
+ "count": 0,
+ "pct": 0.0,
+ "avg_nodes": 0.0,
"example": null
},
{
@@ -1222,9 +1226,9 @@
Most-Used Tools
"Claude with context"
],
"claude_code": "Claude agent + vector store MCP server + document ingestion script",
- "count": 333,
- "pct": 4.325798908807482,
- "avg_nodes": 26.32132132132132,
+ "count": 2,
+ "pct": 13.333333333333334,
+ "avg_nodes": 30.0,
"example": null
},
{
@@ -1290,9 +1294,9 @@
Most-Used Tools
"Request handling"
],
"claude_code": "Python webhook server + data validation script + MCP server for storage",
- "count": 891,
- "pct": 11.574434918160561,
- "avg_nodes": 12.526374859708193,
+ "count": 1,
+ "pct": 6.666666666666667,
+ "avg_nodes": 3.0,
"example": null
}
];
diff --git a/examples/ai-chatbot/.env.example b/examples/ai-chatbot/.env.example
new file mode 100644
index 0000000..8f288be
--- /dev/null
+++ b/examples/ai-chatbot/.env.example
@@ -0,0 +1,5 @@
+# Copy this file to .env and add your key:
+# cp .env.example .env
+#
+# .env is in .gitignore — it will never be committed.
+ANTHROPIC_API_KEY=sk-ant-your-key-here
diff --git a/examples/ai-chatbot/.gitignore b/examples/ai-chatbot/.gitignore
new file mode 100644
index 0000000..e7cf331
--- /dev/null
+++ b/examples/ai-chatbot/.gitignore
@@ -0,0 +1,5 @@
+.venv/
+conversations/
+__pycache__/
+*.egg-info/
+.env
diff --git a/examples/ai-chatbot/pyproject.toml b/examples/ai-chatbot/pyproject.toml
new file mode 100644
index 0000000..98ed23b
--- /dev/null
+++ b/examples/ai-chatbot/pyproject.toml
@@ -0,0 +1,21 @@
+[project]
+name = "ai-chatbot"
+version = "0.1.0"
+description = "AI Chatbot workflow: trigger -> ai -> data -> deliver"
+requires-python = ">=3.12"
+dependencies = [
+ "anthropic",
+]
+
+[dependency-groups]
+dev = ["pytest"]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/chatbot"]
+
+[tool.pytest.ini_options]
+testpaths = ["tests"]
diff --git a/examples/ai-chatbot/run.py b/examples/ai-chatbot/run.py
new file mode 100644
index 0000000..e48fd8a
--- /dev/null
+++ b/examples/ai-chatbot/run.py
@@ -0,0 +1,168 @@
+#!/usr/bin/env python3
+"""AI Chatbot workflow runner.
+
+Pattern: trigger -> ai -> data -> deliver
+
+Interactive terminal chat with streaming responses,
+persona presets, and conversation persistence.
+
+Usage:
+ uv run python run.py # interactive persona selection
+ uv run python run.py --persona 1 # select persona by number
+"""
+
+import argparse
+import os
+import sys
+from pathlib import Path
+
+from chatbot.chat import create_client, send_message
+from chatbot.display import format_header, format_persona_menu, format_welcome
+from chatbot.memory import list_conversations, load_conversation, save_conversation
+from chatbot.models import Conversation, Message
+from chatbot.personas import PERSONAS, get_persona
+
+CONVERSATIONS_DIR = Path(__file__).parent / "conversations"
+
+
+def _load_dotenv():
+ """Load .env file if it exists (no external dependency needed)."""
+ env_path = Path(__file__).parent / ".env"
+ if not env_path.exists():
+ return
+ for line in env_path.read_text().splitlines():
+ line = line.strip()
+ if not line or line.startswith("#"):
+ continue
+ key, _, value = line.partition("=")
+ if key and value:
+ os.environ.setdefault(key.strip(), value.strip())
+
+
+def _ensure_api_key():
+ """Prompt for API key if not set, optionally save to .env."""
+ if os.environ.get("ANTHROPIC_API_KEY"):
+ return
+
+ print("No ANTHROPIC_API_KEY found.\n")
+ print("Get your key at: https://console.anthropic.com/settings/keys\n")
+
+ try:
+ key = input("Enter your ANTHROPIC_API_KEY: ").strip()
+ except (EOFError, KeyboardInterrupt):
+ print("\nAborted.")
+ sys.exit(1)
+
+ if not key:
+ print("No key provided. Exiting.")
+ sys.exit(1)
+
+ os.environ["ANTHROPIC_API_KEY"] = key
+
+ try:
+ save = input("Save to .env for future use? [Y/n] ").strip().lower()
+ except (EOFError, KeyboardInterrupt):
+ save = "n"
+
+ if save != "n":
+ env_path = Path(__file__).parent / ".env"
+ env_path.write_text(f"ANTHROPIC_API_KEY={key}\n")
+ print(f" Saved to {env_path}\n")
+
+
+def _select_persona() -> int:
+ """Interactive persona selection. Returns 0-based index."""
+ print(format_header("AI Chatbot — Setup"))
+ print(format_persona_menu(PERSONAS))
+ choice = input(f"Persona (1-{len(PERSONAS)}): ").strip()
+ try:
+ return int(choice) - 1
+ except ValueError:
+ return 0
+
+
+def _handle_command(command: str, conversation: Conversation) -> bool:
+ """Handle a slash command. Returns True if chat should continue."""
+ if command == "/quit":
+ return False
+ if command == "/save":
+ path = save_conversation(conversation, CONVERSATIONS_DIR)
+ print(f" Conversation saved to {path}")
+ return True
+ if command == "/load":
+ files = list_conversations(CONVERSATIONS_DIR)
+ if not files:
+ print(" No saved conversations found.")
+ return True
+ print(" Saved conversations:")
+ for i, f in enumerate(files[:10], 1):
+ print(f" {i}. {f.name}")
+ choice = input(" Load (number): ").strip()
+ try:
+ idx = int(choice) - 1
+ if 0 <= idx < len(files):
+ loaded = load_conversation(files[idx])
+ conversation.messages = loaded.messages
+ conversation.persona = loaded.persona
+ print(f" Loaded {len(loaded.messages)} messages as {loaded.persona.name}")
+ except (ValueError, IndexError):
+ print(" Invalid selection.")
+ return True
+ print(f" Unknown command: {command}. Available: /save, /load, /quit")
+ return True
+
+
+def main():
+ _load_dotenv()
+ _ensure_api_key()
+
+ parser = argparse.ArgumentParser(description="AI Chatbot: trigger -> ai -> data -> deliver")
+ parser.add_argument("--persona", type=int, default=None, help="Persona number (1-5, skips interactive selection)")
+ args = parser.parse_args()
+
+ # Step 1: Trigger — select persona
+ if args.persona is not None:
+ persona = get_persona(args.persona - 1)
+ else:
+ persona = get_persona(_select_persona())
+
+ # Create conversation and client
+ conversation = Conversation(persona=persona, messages=[])
+ client = create_client()
+
+ print(format_welcome(persona))
+
+ # Step 2-4: Chat loop (ai -> data -> deliver)
+ try:
+ while True:
+ try:
+ user_input = input("You: ").strip()
+ except EOFError:
+ break
+
+ if not user_input:
+ continue
+
+ if user_input.startswith("/"):
+ if not _handle_command(user_input, conversation):
+ break
+ continue
+
+ # AI — send to Claude with streaming
+ conversation.messages.append(Message(role="user", content=user_input))
+ print("Assistant: ", end="", flush=True)
+ response_text = send_message(client, conversation)
+ conversation.messages.append(Message(role="assistant", content=response_text))
+ print()
+
+ except KeyboardInterrupt:
+ print("\n")
+
+ # Auto-save on exit if there are messages
+ if conversation.messages:
+ path = save_conversation(conversation, CONVERSATIONS_DIR)
+ print(f"Conversation auto-saved to {path}")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/examples/ai-chatbot/src/chatbot/__init__.py b/examples/ai-chatbot/src/chatbot/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/examples/ai-chatbot/src/chatbot/chat.py b/examples/ai-chatbot/src/chatbot/chat.py
new file mode 100644
index 0000000..21dd451
--- /dev/null
+++ b/examples/ai-chatbot/src/chatbot/chat.py
@@ -0,0 +1,39 @@
+"""Streaming chat logic using Claude API."""
+
+import sys
+
+import anthropic
+
+from chatbot.models import Conversation
+
+MODEL = "claude-sonnet-4-5"
+
+
+def create_client() -> anthropic.Anthropic:
+ """Create an Anthropic client, exiting if API key is missing."""
+ try:
+ return anthropic.Anthropic()
+ except anthropic.AuthenticationError:
+ print("Error: ANTHROPIC_API_KEY not set or invalid.")
+ print(" cp .env.example .env # then add your key")
+ sys.exit(1)
+
+
+def send_message(client: anthropic.Anthropic, conversation: Conversation) -> str:
+ """Send the conversation to Claude and stream the response.
+
+ Prints tokens as they arrive. Returns the full response text.
+ """
+ with client.messages.stream(
+ model=MODEL,
+ max_tokens=1024,
+ system=conversation.persona.system_prompt,
+ messages=conversation.to_api_messages(),
+ ) as stream:
+ for text in stream.text_stream:
+ print(text, end="", flush=True)
+
+ final = stream.get_final_message()
+
+ print() # newline after streaming
+ return next(b.text for b in final.content if b.type == "text")
diff --git a/examples/ai-chatbot/src/chatbot/display.py b/examples/ai-chatbot/src/chatbot/display.py
new file mode 100644
index 0000000..05d7a22
--- /dev/null
+++ b/examples/ai-chatbot/src/chatbot/display.py
@@ -0,0 +1,36 @@
+"""Terminal display formatting for the chatbot."""
+
+from chatbot.models import Persona
+
+
+def format_header(title: str) -> str:
+ """Format a boxed header."""
+ width = 42
+ lines = [
+ "",
+ "╔" + "═" * width + "╗",
+ "║" + title.center(width) + "║",
+ "╚" + "═" * width + "╝",
+ "",
+ ]
+ return "\n".join(lines)
+
+
+def format_persona_menu(personas: list[Persona]) -> str:
+ """Format the persona selection menu."""
+ lines = ["Choose a persona:", ""]
+ for i, p in enumerate(personas, 1):
+ lines.append(f" {i}. {p.name:<25} {p.description}")
+ lines.append("")
+ return "\n".join(lines)
+
+
+def format_welcome(persona: Persona) -> str:
+ """Format the welcome message after persona selection."""
+ lines = [
+ "",
+ f"── {persona.name} ──",
+ "Type your message. Commands: /save, /load, /quit",
+ "",
+ ]
+ return "\n".join(lines)
diff --git a/examples/ai-chatbot/src/chatbot/memory.py b/examples/ai-chatbot/src/chatbot/memory.py
new file mode 100644
index 0000000..b334391
--- /dev/null
+++ b/examples/ai-chatbot/src/chatbot/memory.py
@@ -0,0 +1,47 @@
+"""Conversation memory: save and load conversations as JSON."""
+
+import json
+from datetime import datetime, timezone
+from pathlib import Path
+
+from chatbot.models import Conversation, Message, Persona
+
+
+def save_conversation(conv: Conversation, directory: Path) -> Path:
+ """Save a conversation to a JSON file.
+
+ Returns the path to the saved file.
+ """
+ directory.mkdir(parents=True, exist_ok=True)
+ timestamp = datetime.now(timezone.utc).strftime("%Y-%m-%d_%H%M%S_%f")
+ slug = conv.persona.name.lower().replace(" ", "-")
+ path = directory / f"{timestamp}_{slug}.json"
+
+ data = {
+ "persona": {
+ "name": conv.persona.name,
+ "description": conv.persona.description,
+ "system_prompt": conv.persona.system_prompt,
+ },
+ "messages": [{"role": m.role, "content": m.content} for m in conv.messages],
+ "started_at": conv.started_at.isoformat(),
+ }
+ path.write_text(json.dumps(data, indent=2, ensure_ascii=False))
+ return path
+
+
+def load_conversation(path: Path) -> Conversation:
+ """Load a conversation from a JSON file."""
+ data = json.loads(path.read_text())
+ persona = Persona(**data["persona"])
+ messages = [Message(**m) for m in data["messages"]]
+ started_at = datetime.fromisoformat(data["started_at"])
+ return Conversation(persona=persona, messages=messages, started_at=started_at)
+
+
+def list_conversations(directory: Path) -> list[Path]:
+ """List saved conversation files, newest first."""
+ if not directory.exists():
+ return []
+ files = sorted(directory.glob("*.json"), reverse=True)
+ return files
diff --git a/examples/ai-chatbot/src/chatbot/models.py b/examples/ai-chatbot/src/chatbot/models.py
new file mode 100644
index 0000000..90a787c
--- /dev/null
+++ b/examples/ai-chatbot/src/chatbot/models.py
@@ -0,0 +1,34 @@
+"""Data models for the chatbot."""
+
+from dataclasses import dataclass, field
+from datetime import datetime
+
+
+@dataclass
+class Persona:
+ """A chatbot persona with a system prompt."""
+
+ name: str
+ description: str
+ system_prompt: str
+
+
+@dataclass
+class Message:
+ """A single chat message."""
+
+ role: str
+ content: str
+
+
+@dataclass
+class Conversation:
+ """A chat conversation with persona and message history."""
+
+ persona: Persona
+ messages: list[Message] = field(default_factory=list)
+ started_at: datetime = field(default_factory=datetime.now)
+
+ def to_api_messages(self) -> list[dict]:
+ """Convert messages to Anthropic API format."""
+ return [{"role": m.role, "content": m.content} for m in self.messages]
diff --git a/examples/ai-chatbot/src/chatbot/personas.py b/examples/ai-chatbot/src/chatbot/personas.py
new file mode 100644
index 0000000..694bce5
--- /dev/null
+++ b/examples/ai-chatbot/src/chatbot/personas.py
@@ -0,0 +1,63 @@
+"""Persona presets for the chatbot."""
+
+from chatbot.models import Persona
+
+PERSONAS = [
+ Persona(
+ name="Code Reviewer",
+ description="Code quality, security, best practices",
+ system_prompt=(
+ "You are a senior code reviewer. Analyze code for correctness, security "
+ "vulnerabilities, performance issues, and maintainability. Be specific: "
+ "reference line numbers or patterns. Suggest concrete improvements, not just "
+ "problems. Prioritize issues by severity. If the code is good, say so."
+ ),
+ ),
+ Persona(
+ name="Writing Coach",
+ description="Clarity, structure, tone",
+ system_prompt=(
+ "You are a writing coach focused on clarity and impact. Help improve structure, "
+ "eliminate jargon, strengthen arguments, and find the right tone for the audience. "
+ "When reviewing text, be specific about what works and what doesn't. Suggest "
+ "rewrites for weak passages rather than just pointing out problems."
+ ),
+ ),
+ Persona(
+ name="Research Assistant",
+ description="Facts, sources, systematic analysis",
+ system_prompt=(
+ "You are a research assistant. Help analyze topics systematically: identify key "
+ "questions, evaluate evidence, distinguish facts from assumptions, and suggest "
+ "further research directions. Be explicit about confidence levels and what you "
+ "don't know. Cite specific concepts or frameworks when relevant."
+ ),
+ ),
+ Persona(
+ name="Explain Like I'm 5",
+ description="Complex topics made simple",
+ system_prompt=(
+ "You explain complex topics in simple terms using everyday analogies and examples. "
+ "Avoid jargon. Use short sentences. Build understanding step by step — start with "
+ "the core idea, then add layers. If the user asks a follow-up, go one level deeper "
+ "while staying accessible."
+ ),
+ ),
+ Persona(
+ name="Debate Partner",
+ description="Counterarguments, find weaknesses",
+ system_prompt=(
+ "You are a rigorous debate partner. When the user presents an argument, steelman "
+ "it first (show you understand it), then challenge it with the strongest possible "
+ "counterarguments. Identify hidden assumptions, logical gaps, and overlooked "
+ "perspectives. Be intellectually honest — if an argument is strong, acknowledge it."
+ ),
+ ),
+]
+
+
+def get_persona(index: int) -> Persona:
+ """Get a persona by index, defaulting to first if out of range."""
+ if 0 <= index < len(PERSONAS):
+ return PERSONAS[index]
+ return PERSONAS[0]
diff --git a/examples/ai-chatbot/tests/test_chat.py b/examples/ai-chatbot/tests/test_chat.py
new file mode 100644
index 0000000..5d7bfd9
--- /dev/null
+++ b/examples/ai-chatbot/tests/test_chat.py
@@ -0,0 +1,69 @@
+"""Tests for streaming chat logic."""
+
+from unittest.mock import MagicMock, patch
+
+from chatbot.chat import create_client, send_message
+from chatbot.models import Conversation, Message, Persona
+
+
+def _make_conversation() -> Conversation:
+ return Conversation(
+ persona=Persona(name="Test", description="D", system_prompt="Be helpful."),
+ messages=[Message(role="user", content="Hello")],
+ )
+
+
+def _make_mock_stream(chunks, final_text):
+ mock_stream = MagicMock()
+ mock_stream.__enter__ = MagicMock(return_value=mock_stream)
+ mock_stream.__exit__ = MagicMock(return_value=False)
+ mock_stream.text_stream = iter(chunks)
+ mock_stream.get_final_message.return_value = MagicMock(
+ content=[MagicMock(type="text", text=final_text)]
+ )
+ return mock_stream
+
+
+def test_send_message_returns_text():
+ """send_message should return the full response text."""
+ mock_client = MagicMock()
+ mock_client.messages.stream.return_value = _make_mock_stream(
+ ["Hi ", "there!"], "Hi there!"
+ )
+
+ conv = _make_conversation()
+ result = send_message(mock_client, conv)
+ assert result == "Hi there!"
+
+
+def test_send_message_uses_system_prompt():
+ """send_message should pass the persona's system prompt."""
+ mock_client = MagicMock()
+ mock_client.messages.stream.return_value = _make_mock_stream(["Ok"], "Ok")
+
+ conv = _make_conversation()
+ send_message(mock_client, conv)
+
+ call_kwargs = mock_client.messages.stream.call_args[1]
+ assert call_kwargs["system"] == "Be helpful."
+
+
+def test_send_message_uses_correct_model():
+ mock_client = MagicMock()
+ mock_client.messages.stream.return_value = _make_mock_stream(["Ok"], "Ok")
+
+ conv = _make_conversation()
+ send_message(mock_client, conv)
+
+ call_kwargs = mock_client.messages.stream.call_args[1]
+ assert call_kwargs["model"] == "claude-sonnet-4-5"
+
+
+def test_create_client_fails_without_api_key():
+ with patch.dict("os.environ", {}, clear=True):
+ import os
+ os.environ.pop("ANTHROPIC_API_KEY", None)
+ try:
+ client = create_client()
+ except SystemExit:
+ pass # Expected when no key
diff --git a/examples/ai-chatbot/tests/test_display.py b/examples/ai-chatbot/tests/test_display.py
new file mode 100644
index 0000000..fa64e17
--- /dev/null
+++ b/examples/ai-chatbot/tests/test_display.py
@@ -0,0 +1,29 @@
+"""Tests for terminal display formatting."""
+
+from chatbot.display import format_header, format_persona_menu, format_welcome
+from chatbot.models import Persona
+
+
+def test_format_header():
+ result = format_header("AI Chatbot")
+ assert "AI Chatbot" in result
+ assert "╔" in result
+
+
+def test_format_persona_menu():
+ personas = [
+ Persona(name="Coder", description="Writes code", system_prompt="S"),
+ Persona(name="Writer", description="Writes text", system_prompt="S"),
+ ]
+ result = format_persona_menu(personas)
+ assert "1." in result
+ assert "2." in result
+ assert "Coder" in result
+ assert "Writes text" in result
+
+
+def test_format_welcome():
+ persona = Persona(name="Research Assistant", description="D", system_prompt="S")
+ result = format_welcome(persona)
+ assert "Research Assistant" in result
+ assert "/quit" in result
diff --git a/examples/ai-chatbot/tests/test_memory.py b/examples/ai-chatbot/tests/test_memory.py
new file mode 100644
index 0000000..8758c4a
--- /dev/null
+++ b/examples/ai-chatbot/tests/test_memory.py
@@ -0,0 +1,58 @@
+"""Tests for conversation memory (save/load)."""
+
+import json
+from datetime import datetime, timezone
+from pathlib import Path
+
+from chatbot.memory import list_conversations, load_conversation, save_conversation
+from chatbot.models import Conversation, Message, Persona
+
+
+def _make_conversation() -> Conversation:
+ return Conversation(
+ persona=Persona(name="Test", description="D", system_prompt="S"),
+ messages=[
+ Message(role="user", content="Hello"),
+ Message(role="assistant", content="Hi there!"),
+ ],
+ started_at=datetime(2026, 3, 8, 12, 0, 0, tzinfo=timezone.utc),
+ )
+
+
+def test_save_creates_json_file(tmp_path):
+ conv = _make_conversation()
+ path = save_conversation(conv, tmp_path)
+ assert path.exists()
+ assert path.suffix == ".json"
+
+
+def test_save_contains_correct_data(tmp_path):
+ conv = _make_conversation()
+ path = save_conversation(conv, tmp_path)
+ data = json.loads(path.read_text())
+ assert data["persona"]["name"] == "Test"
+ assert len(data["messages"]) == 2
+ assert data["messages"][0]["role"] == "user"
+ assert "started_at" in data
+
+
+def test_load_restores_conversation(tmp_path):
+ conv = _make_conversation()
+ path = save_conversation(conv, tmp_path)
+ loaded = load_conversation(path)
+ assert loaded.persona.name == "Test"
+ assert len(loaded.messages) == 2
+ assert loaded.messages[1].content == "Hi there!"
+
+
+def test_list_conversations_finds_json_files(tmp_path):
+ conv = _make_conversation()
+ save_conversation(conv, tmp_path)
+ save_conversation(conv, tmp_path) # second file
+ files = list_conversations(tmp_path)
+ assert len(files) >= 2
+
+
+def test_list_conversations_empty_dir(tmp_path):
+ files = list_conversations(tmp_path)
+ assert files == []
diff --git a/examples/ai-chatbot/tests/test_models.py b/examples/ai-chatbot/tests/test_models.py
new file mode 100644
index 0000000..7c30a27
--- /dev/null
+++ b/examples/ai-chatbot/tests/test_models.py
@@ -0,0 +1,43 @@
+"""Tests for chatbot data models."""
+
+from datetime import datetime, timezone
+
+from chatbot.models import Conversation, Message, Persona
+
+
+def test_persona_has_required_fields():
+ p = Persona(name="Test", description="A test persona", system_prompt="Be helpful.")
+ assert p.name == "Test"
+ assert p.description == "A test persona"
+ assert p.system_prompt == "Be helpful."
+
+
+def test_message_has_role_and_content():
+ m = Message(role="user", content="Hello")
+ assert m.role == "user"
+ assert m.content == "Hello"
+
+
+def test_conversation_holds_messages():
+ persona = Persona(name="P", description="D", system_prompt="S")
+ now = datetime.now(timezone.utc)
+ conv = Conversation(persona=persona, messages=[], started_at=now)
+ conv.messages.append(Message(role="user", content="Hi"))
+ assert len(conv.messages) == 1
+
+
+def test_conversation_to_api_messages():
+ persona = Persona(name="P", description="D", system_prompt="S")
+ conv = Conversation(
+ persona=persona,
+ messages=[
+ Message(role="user", content="Hi"),
+ Message(role="assistant", content="Hello!"),
+ ],
+ started_at=datetime.now(timezone.utc),
+ )
+ api_msgs = conv.to_api_messages()
+ assert api_msgs == [
+ {"role": "user", "content": "Hi"},
+ {"role": "assistant", "content": "Hello!"},
+ ]
diff --git a/examples/ai-chatbot/tests/test_personas.py b/examples/ai-chatbot/tests/test_personas.py
new file mode 100644
index 0000000..e2d7bce
--- /dev/null
+++ b/examples/ai-chatbot/tests/test_personas.py
@@ -0,0 +1,33 @@
+"""Tests for persona presets."""
+
+from chatbot.models import Persona
+from chatbot.personas import PERSONAS, get_persona
+
+
+def test_has_five_personas():
+ assert len(PERSONAS) == 5
+
+
+def test_all_personas_are_persona_instances():
+ for p in PERSONAS:
+ assert isinstance(p, Persona)
+
+
+def test_all_personas_have_system_prompts():
+ for p in PERSONAS:
+ assert len(p.system_prompt) > 50, f"{p.name} system prompt too short"
+
+
+def test_all_personas_have_unique_names():
+ names = [p.name for p in PERSONAS]
+ assert len(names) == len(set(names))
+
+
+def test_get_persona_by_index():
+ p = get_persona(0)
+ assert p == PERSONAS[0]
+
+
+def test_get_persona_out_of_range_returns_first():
+ p = get_persona(99)
+ assert p == PERSONAS[0]
diff --git a/examples/ai-chatbot/uv.lock b/examples/ai-chatbot/uv.lock
new file mode 100644
index 0000000..bad3f1d
--- /dev/null
+++ b/examples/ai-chatbot/uv.lock
@@ -0,0 +1,381 @@
+version = 1
+revision = 3
+requires-python = ">=3.12"
+
+[[package]]
+name = "ai-chatbot"
+version = "0.1.0"
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+ { name = "anthropic" },
+]
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+dev = [
+ { name = "pytest" },
+]
+
+[package.metadata]
+requires-dist = [{ name = "anthropic" }]
+
+[package.metadata.requires-dev]
+dev = [{ name = "pytest" }]
+
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diff --git a/scripts/generate_site.py b/scripts/generate_site.py
index b6bd57e..4e591d9 100644
--- a/scripts/generate_site.py
+++ b/scripts/generate_site.py
@@ -309,6 +309,11 @@ def chat(user_message):
return reply""",
"run": "python chatbot.py # or expose as MCP server",
"learn": ["Claude API basics", "Conversation memory", "System prompts", "MCP tool design"],
+ "example": {
+ "path": "examples/ai-chatbot",
+ "label": "Runnable Example",
+ "desc": "22 tests, Claude API streaming, 5 personas, conversation memory — ready to run",
+ },
},
"AI Content Creation": {
"question": "I regularly write similar content (newsletters, posts, summaries)",