Meet tkit.ai — a fast shared inbox and live chat widget that keeps website conversations organized without the weight of a full support platform.

Most support tools start simple and slowly turn into a maze. The team adds a chat widget, then a ticketing tool, then a shared email address, then a few spreadsheets to remember what belongs where. By the time a customer asks a straightforward question, the answer is hiding behind five tabs.
We are building tkit.ai for the opposite feeling: one clean place for website conversations, fast enough for founders and small teams, structured enough to grow with the product.
A founder's note
The product started from a constraint we felt ourselves: a small team should be able to install support without first designing a support department. That is why the first workflow we test is deliberately ordinary — create a workspace, copy its generated snippet, send a message from an allowed page, and confirm that the same conversation appears in the shared inbox.
What is tkit.ai?
Tkit.ai is a shared customer support inbox for teams that talk to visitors from their website. You add a lightweight widget, visitors send messages, and every conversation lands in a workspace your team can manage together.
The first version focuses on the support basics that matter every day:
- A website chat widget that is quick to install
- A shared inbox for customer conversations
- Workspaces for separate products, brands, or clients
- Simple usage limits and predictable pricing
That is the core. No campaign builder to configure before launch. No enterprise workflow ceremony before the first message arrives.
Why we built a lightweight support inbox
Small teams do not need support software that makes them feel like a call center on day one. They need a calm place to notice customer intent, reply quickly, and keep context from slipping away.
The goal is not to make support look busy. The goal is to make it feel close to the product.
When someone is stuck on your pricing page, confused during onboarding, or ready to buy but missing one answer, that conversation should reach the right person without friction. Tkit.ai is designed around that moment.
How tkit.ai works
Create a workspace, copy the widget snippet with its data-widget-id, and add
it to your site. From there, new messages appear in the inbox as tickets your
team can read and respond to. The
install guide walks through every step.
Each workspace keeps its own settings, domains, conversations, and teammates. That makes it useful for founders running multiple products, agencies managing client sites, and teams that want clean separation between brands.
What comes next
We are keeping the product focused while expanding the parts teams naturally need after the first conversations start flowing:
- Smarter routing for teams with more than one support owner
- Deeper customization for the widget experience
- More developer-facing controls for teams that want to integrate support into their own systems
The shape will stay the same: fast setup, tidy workspaces, and support tooling that does not get in the way of talking to customers.
Frequently asked questions
Who is tkit.ai for?
Founders, product teams, agencies, and small support teams that want website conversations in one organized inbox — without adopting a heavyweight platform first.
How long does setup take?
Minutes. Create a workspace, paste one script tag into your site, and send a test message. See the step-by-step install guide.
Does tkit.ai support multiple websites or brands?
Yes. Each workspace has its own inbox, teammates, widget settings, and allowed domains, so products, brands, and client sites stay cleanly separated.
How much does tkit.ai cost?
The canonical pricing page lists the current monthly and annual indicative prices and contact details. We link there instead of repeating figures that can go stale when plans change.
Start with one conversation
The easiest way to understand tkit.ai is to put the widget on a real page and send the first message.
If your website has visitors and your team wants a cleaner way to help them, start a workspace and try tkit.ai.