May 23, 2025

Supercharging Your Chat: Introducing the Tools Middleware

Give your chatbot the power to do more than chat. With Cogfy’s Tool middleware, you can plug in external APIs, trigger workflows, and turn conversations into real outcomes.

Not all chatbots are created equal. Some just reply — others take action. With Cogfy’s Tools middleware, your chatbot becomes more than a conversation partner. It becomes a full-on operator: scheduling meetings, retrieving real-time data, triggering workflows, and interacting with your systems as if it were part of the team.

This post introduces how the Tools middleware works and what kind of powers it unlocks for your chat.

What Are Tools in Cogfy?

In Cogfy, tools are modular actions that the chatbot can use during a conversation — like calling an API, searching the web, sending a file, or updating a record. These tools are grouped under a single middleware called Tools, which you can plug into your chat just like you would with History, Instructions, or any other part of your chatbot setup.

Each tool is a pre-configured capability you choose to give your chatbot. You decide what it can do, and when. That means your chat can evolve from a simple text interface into a dynamic assistant — one that’s aware of your data and empowered to act on it.

Tools can be added, removed, and combined as needed, giving you a lot of flexibility to tailor the chat’s behavior to your use case. And thanks to Cogfy’s built-in options, you don’t even need to write code or worry about complex backend logic.

What Can Tools Do?

Think of tools as your chatbot’s Swiss Army knife — each one adds a specific power. With the right tools enabled, your chat goes beyond answering questions and becomes a hands-on problem solver.

Here’s a taste of what’s possible with the built-in tools available in Cogfy today:

🔍 Search & Knowledge Retrieval

📅 Automation & Scheduling

🌐 System Interaction

📁 File & Data Handling

These tools are building blocks. Alone, they’re powerful — but combined, they let you create assistants that handle real-world workflows, reduce manual effort, and create more intuitive user experiences.

Real-World Use Cases

You’ve seen what each tool does. Now let’s talk about why you’d want to use them — and how they come together to power real, useful assistants inside your product or workflow.


🛍️ Sales Assistant with Scheduling

Goal: Let users ask questions about your service, then book a call when they’re ready. Stack:

💡 This turns a basic FAQ chatbot into a full-funnel sales assistant.


🧑‍🔬 AI Research Assistant

Goal: Help users or team members find reliable academic sources in seconds. Stack:

💡 Perfect for health, biotech, or education platforms that want smarter internal tools.

📬 Bonus: Want to take it further? Pair this chat with Cogfy’s Schedule field to turn it into an automated scientific newsletter. Just set up a daily or weekly trigger, and the assistant can search for the latest studies on a topic and send curated findings to your users — no manual effort required.


⚙️ DevOps Chat for Health Checks

Goal: Monitor systems and services via chat without opening dashboards. Stack:

💡 A sleek, conversational interface to reduce the overhead of routine checks.


🧾 Customer Support + Automation

Goal: Answer customer questions and collect relevant data to trigger a workflow. Stack:

💡 Combines help desk and automation, giving customers faster resolutions and your team less overhead.


These are just a few examples — the real power comes when you start connecting your tools to your workflows. Whether it’s onboarding, support, internal tools, or customer engagement, you can use Cogfy’s middleware system to build just the assistant you need.

Where This Is Going

Tools are just the beginning of making your Cogfy chat truly dynamic. What starts as a helpful assistant can evolve into a powerful interface — one that not only answers questions but also executes actions, queries databases, or drives key workflows in real time.

As we continue releasing new tools and integrations, you'll be able to connect your chat to more of your stack — internal APIs, CRMs, task boards, data lakes, or even team calendars — with minimal effort. And because tools work like building blocks, they’re endlessly composable. Think of them as the functions in a low-code programming language where prompts are the glue.

In upcoming posts, we’ll break down how to use tools specifically for:

The goal? To give you a chat layer that does things, not just talks.

Post | Supercharging Your Chat: Introducing the Tools Middleware