This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Users don't talk in workflows. They change their minds, provide information out of order, jump across topics, and interrupt ongoing processes. TeliChat helps teams build code-centric conversational agents that handle non-linear conversations while keeping business logic explicit and debuggable. No black-box reasoning. No rigid flows. Just natural conversations backed by code.
Hi Product Hunt 👋
I’m Hans, founder of TeliChat.
We built TeliChat because we kept seeing the same problem in enterprise customer service and complex business processes:
ReAct-style agents are flexible, but often too black-box, slow, expensive, and risky when strict business rules, permissions, state transitions, and external system calls are involved.
Workflow agents are more controllable, but they often make conversations rigid. Real users don’t follow a perfect flow. They provide information out of order, correct themselves, jump between topics, or add new requests midway.
TeliChat is our attempt to solve this with a more engineering-oriented, white-box conversational agent architecture.
The core idea is simple:
Let the LLM do what it is good at:
* intent recognition
* information extraction
* natural language generation
Let code handle what must be deterministic:
* business rules
* permission checks
* API calls
* state management
* debugging and traceability
TeliChat manages multi-turn conversations through a “ChatTree + InfoItem + Python code” model. This allows teams to build agents that can handle non-linear conversations while still keeping business logic explicit, debuggable, and traceable.
It is designed for use cases like ticket changes and cancellations, insurance claims, after-sales support, account opening, approvals, work orders, and other rule-heavy business processes.
The core product is not open source yet, but we have published example code on GitHub to show how agents can be built with TeliChat:
https://github.com/hanswang73/te...
We also shared more of our thinking here:
https://telichat.io/blog/telichat
We would love to hear your feedback, criticism, and questions.
Especially if you have worked with ReAct agents, workflow builders, Rasa CALM, Dify, Claude Code, or similar tools, I’d be very interested to hear what worked for you and what didn’t.
Thanks for checking out TeliChat 🙏
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About TeliChat on Product Hunt
“Code-centric white-box conversational agent”
TeliChat was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #130 on the daily leaderboard. Users don't talk in workflows. They change their minds, provide information out of order, jump across topics, and interrupt ongoing processes. TeliChat helps teams build code-centric conversational agents that handle non-linear conversations while keeping business logic explicit and debuggable. No black-box reasoning. No rigid flows. Just natural conversations backed by code.
TeliChat was featured in Developer Tools (514k followers) and Artificial Intelligence (471.1k followers) on Product Hunt. Together, these topics include over 172.4k products, making this a competitive space to launch in.
Who hunted TeliChat?
TeliChat was hunted by Hans Wang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how TeliChat stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hans Wang