One conversation. One shared memory.
A chatbot gives one person one chat. Teklens gives the team one conversation: product, engineering and agents work in the same thread, grounded in your Jira, your docs and your code. Questions get settled before engineering builds.
Specs come together across five tabs and three heads. Engineering finds the open question in the sprint, and by then it is expensive.
- Publish a conversation to the project. Colleagues carry on writing in the same thread.
- Call skills in the conversation: story draft, estimate, code analysis, test plan.
- Pin tickets, pages and files so every answer shares the same context.
- Choose the model per conversation and anonymise content before it reaches the model.
How it works.
- 01
Open the initiative
You start a conversation about a story or initiative and pin the ticket and the page.
- 02
Bring in the team
You publish the conversation to the project. Engineering adds the technical view in the same thread.
- 03
Settle it with context
Teklens answers questions from code and docs, estimates the effort and names the code owners.
- 04
Approve the spec
The story draft goes to Jira with your approval.
Effort estimate against the real code, with risks and code owner. 
Code owners from git history. 
Backlog findings with a proposal: merge, close, refresh.
A story in Jira with acceptance criteria the team settled together. And a thread that shows why.
Next: IDE and agent handover- Live. Published conversations are visible to every member of the project.
- A published conversation cannot be made private again.
How it fits together.
Less coordination work.
CPOs and CTOs align AI strategy, operating model and implementation. Product and engineering test the Product Brain with Jira and code. EUR 1,000 in test credits are included.
Two paths: set the direction or test Teklens on real product work.