☝️ About
Big enteprises build Strategic Plans to project themselves into the future.
OPT-NC makes no exception and has recently designed its own called "Construire demain":
A strategic plan may have a lot (maybe plenty) of points... and in the mean time should be resumable into a very few keypoints -let's say 3 -,
so anyone can understand and talk about the big picture with ease.
👉 With this post, we'll dive into a journey where, with the help of various AI driven tools, we will:
- 📚 Chat with the plan itself
- 🤔 Imagine a near future
- 💡 Pitch an idea
- 🗣️ Explain & Implement the idea
- 🕹️ Play with the prototype
- 🎯 Loop back on strategic plan to how it fits
- 🔭 Think about other opportunities
💭 About Chatbots & Primary Customer Service
Below some context about ChatBot based service, good to knonw before delivering such services in production:
🧰 Tools
We will use many tools here:
-
🧠
Quivr
as "the brain" of the Strategic Plan, which holds the knowledge of what the plan we have stored in -
🦾
OpenAI
: the API that will give us theLLM
, the engine that will "do the job" -
🤖
ChatGPT
: for casual question or little explanations (eg. "What's aLLM
?") -
🦜🔗
Langchain
: the framework, the "glue" we will use to interact with theLLM
-
😽
Kor
: A tool to extract structured data out raw unstructured text
🎯 What we'll do
In this demo, we'll see how to build very custom tools (add our very own ones) to achieve specific customer-centric tasks... but operated by autonomous AI-driven agent.
At the end, we'll get a kind of connected chatGPT.
📽️ Demo
🤯 What Ive learned and reflexions
- Trust LLM capabilities (experiment early with tools)
- Screenwriter role
- Customer Experience Designer
- Designing Custom Tools
- About static content : fallback
- Agent Contextualizaiotn
- Agent design
- Agent & tools unit testing
- Chatbot KPIs