Dynamic context via API
Train your AI agents on your own data — tag the documents each one may read, or retrieve live content from your API and inject it straight into the system prompt.
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worldwide have joined us
Pull live data into the prompt, not last month’s copy of it
Dynamic Context retrieves content from an API and injects it into the system prompt. The agent answers from whatever your endpoint returns at that moment, rather than from a file someone uploaded and forgot.
It is also how you implement Retrieval-Augmented Generation from your own sources — a vector store database, or anything else you can put behind an API.
Or tag the documents you have already uploaded
Upload your training documents or connect training sources in the Training Data menu, then add tags to them using any names you like.
These tags are separate from user groups — they describe the material, not the people who can see it.
Each agent learns from only what belongs to it
Edit an agent, open Accessibility of Training Data, and choose to allow access only to training data with certain tags. That agent then draws on those documents and nothing else.
One workspace can hold a support agent, an HR agent, and a tech support agent, each grounded in its own material.
“TypingMind has given us a great, consistent UI for LLM use across the various models. It’s a substantial improvement over some of the early native AI apps many on our team had been using.”
Two ways to give an agent your data
Static documents you tag, or live content pulled from an API at request time.
Dynamic Context API
Retrieve content from your API and inject it into the system prompt, so answers reflect what is true right now.
RAG from your own sources
Implement Retrieval-Augmented Generation against your own vector store or any other data source behind an endpoint.
Tagged training data
Upload documents or connect training sources, then tag them with any names that fit how your material is organized.
Per-agent access
Allow an agent access only to training data carrying certain tags, so its knowledge stays scoped to its job.
Multiple chatbots
Run separate agents for customer service, HR, and tech support, each trained on the data specific to its purpose.
Improve over time
As new content is created, add tagged documents to refine what an agent knows without rebuilding it.
Why teams train agents on their own data
Custom data is what separates a generic assistant from one that knows your company.
Build multiple chatbots
Create separate chatbots for customer service, HR inquiries, and tech support, each trained on data for its intended use.
A personalized experience
Train agents to use your company terminology, understand internal processes, and handle complex questions and scenarios.
Continuous improvement
Add tagged documents as new content is created, refining what the chatbot can do over time.
Answers that stay current
Where the facts change often, pull them from an API at request time instead of re-uploading a document.
See why our customers love us
Read the impact we've had from those who matter most —our customers!
“I have entirely switched to TypingMind from the normal ChatGPT client. The responses are typically faster, and you can put chats in folders, search them, switch between all sorts of models.”
Thomas Frank
YouTuber with 3M+ subscribers
“I'm the CEO/CTO of an AI Edtech startup, and I've been using TypingMind daily since December 2023. Easily one of the best frontends for AI models I've tried: fast, clean, and really optimized for professional workflows.”
Cesar N'Gouan
CEO/CTO of AI Edtech
“We started using TypingMind when it was giving out team licenses and our team uses it every day! I use it for my product management work and I'd be quite disappointed if it went away.”
Shavin Peiris
Product Manager at Aristotle
“It's incredibly powerful and flexible. It allows me to centralize all my interactions with the different models. There's almost no reason for me to use any other application.”
Graydon T.
Founder
“TypingMind is a state of the art user interface for generative AI. I have been using it every day since I stumbled upon it a year ago.”
Roland Priborsky
CEO at Nionium Inc
“I love Typing Mind. One of the best purchases I have made. There is not one single LLM I use — I use ChatGPT for some tasks, Claude for others, and Gemini for others. With TypingMind I don't have to pay a monthly subscription for all of them.”
Larry James
Verified Trustpilot User
“We use TypingMind across various tasks to streamline our workflows and enhance productivity. We fell in love with the product and believed it to be the only one of its kind.”
Tommy Cunningham
Web Developer & Technical Manager of Entrepreneurs Circle
“As a CTO of multiple startups, I love this web app. It works well and I save a lot of money by using it because I don't have to pay a subscription to try different models.”
Youcef Lkml
Verified Trustpilot User
“This is the best ChatGPT client and I tested so many! So much better than the OpenAI user interface. Added my GPT-4 API to bypass the 25 message cap PLUS have a better user experience.”
Mirel Vasile
Digital Creator
More ways to ground your agents
Combine dynamic context with these features to tailor your workspace.
