marketing

A-Simple-Chatbot: Automate Conversations

Get a simple chatbot for automated conversations, ideal for startup founders in marketing and customer support.

From the repo · “A chatbot (also known as a talkbot, chatterbot, Bot, IM bot, interactive agent, or Artificial Conversational Entity)The classic historic early chatbots are ELIZA (1966) and PARRY (1972).More recent notable programs include A.L.I.C.E., Jabberwacky and D.U.D.E (Agence Nationale de la Recherche and CNRS 2006). While ELIZA and PARRY were used exclusively to simulate typed conversation, many chatbots now include functional features such as games and web searching abilities. In 1984, a book called The Policeman's Beard is Half Constructed was published, allegedly written by the chatbot Racter (though the program as released would not have been capable of doing so). One pertinent field of AI research is natural language processing. Usually, weak AI fields employ specialized software or programming languages created specifically for the narrow function required. For example, A.L.I.C.E. uses a markup language called AIML, which is specific to its function as a conversational agent, and has since been adopted by various other developers of, so called, Alicebots. Nevertheless, A.L.I.C.E. is still purely based on pattern matching techniques without any reasoning capabilities, the same technique ELIZA was using back in 1966. This is not strong AI, which would require sapience and logical reasoning abilities. Jabberwacky learns new responses and context based on real-time user interactions, rather than being driven from a static database. Some more recent chatbots also combine real-time learning with evolutionary algorithms that optimise their ability to communicate based on each conversation held. Still, there is currently no general purpose conversational artificial intelligence, and some software developers focus on the practical aspect, information retrieval. Chatbot competitions focus on the Turing test or more specific goals. Two such annual contests are the Loebner Prize and The Chatterbox Challenge (offline since 2015, materials can still be found from web archives). According to Forrester (2015), AI will replace 16 percent of American jobs by the end of the decade.Chatbots have been used in applications such as customer service, sales and product education. However, a study conducted by Narrative Science in 2015 found that 80 percent of their respondents believe AI improves worker performance and creates jobs.[citation needed] is a computer program or an artificial intelligence which conducts a conversation via auditory or textual methods. Such programs are often designed to convincingly simulate how a human would behave as a conversational partner, thereby passing the Turing test. Chatbots are typically used in dialog systems for various practical purposes including customer service or information acquisition. Some chatterbots use sophisticated natural language processing systems, but many simpler systems scan for keywords within the input, then pull a reply with the most matching keywords, or the most similar wording pattern, from a database. The term "ChatterBot" was originally coined by Michael Mauldin (creator of the first Verbot, Julia) in 1994 to describe these conversational programs.Today, most chatbots are either accessed via virtual assistants such as Google Assistant and Amazon Alexa, via messaging apps such as Facebook Messenger or WeChat, or via individual organizations' apps and websites. Chatbots can be classified into usage categories such as conversational commerce (e-commerce via chat), analytics, communication, customer support, design, developer tools, education, entertainment, finance, food, games, health, HR, marketing, news, personal, productivity, shopping, social, sports, travel and utilities. Background”

intermediate⏱ 30 minutes💵 Free (self-hosted)
28 stars7 forksJupyter NotebookGuide quality 8/10 · reviewed Jul 1Updated 1/5/2020100% free · open source
What it is

Create a simple chatbot to automate conversations with customers.

Real use case example

"A founder of a small e-commerce site uses this skill to automate email responses to customers asking about the status of their orders. They write a script that pulls the order information from their database and sends a response to the customer. In just a few minutes, they've set up a chatbot that saves their team hours of time every week."

Best insideClaude DesktopClaude Code
When to use it
  • •When you need to automate basic customer support queries
  • •When you want to provide 24/7 marketing information to potential customers
  • •When you need to test and prototype a chatbot concept before scaling up
Ready-to-paste prompt
python test.py -i 'Hello, what are your hours of operation?'
Heads up: Make sure you have the necessary dependencies installed, including NLTK and numpy, by running `pip install -r requirements.txt` before running the chatbot
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

✅ Light setup

Installs with a command or two; your AI agent can do it for you.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/a-simple-chatbot && curl -fsSL https://workflowstacks.com/api/skills/a-simple-chatbot/claude-skill -o ~/.claude/skills/a-simple-chatbot/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

What's inside — free to inspect

No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

5
top-level files
0
folders
16K
source size
—
license
Key files
_config.yml
README.md
File tree
_config.yml
Chatbot.ipynb
chatbot.py
chatbot.txt
README.md
Quick Actions
Details
Creator
Yogapriya2512
Language
Jupyter Notebook
Category
marketing
Published
1/5/2020

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