Modern chatbots are not linear scripts. They are living systems with branching logic, memory, tool calls, and unpredictable user behavior. A single missed path can break task completion, lose context, or trigger the wrong action.
Cekura gives teams a way to validate full conversation paths end to end, not just isolated turns. Kow that every possible journey through your chatbot actually works.
Explore the Entire Conversation Space
Real users do not follow happy paths. They hesitate, change topics, give partial information, and come back later. Cekura systematically explores conversation flows across all meaningful branches.
You can validate:
-
Core success paths, edge cases, and fallback flows
-
Long multi turn conversations where state and memory must persist
-
Loops, re prompts, interruptions, and topic switches
-
Free text inputs that cannot be predicted ahead of time
Conversation paths can be generated automatically from prompts, specs, or real production logs, then expanded with variations that reflect how users actually behave.
Validate What Actually Matters in a Conversation
Testing is not just about whether the bot replies. It is about whether the conversation progresses correctly.
Cekura validates:
-
Intent recognition and entity handling across turns
-
Context carryover, slot filling, and memory reuse
-
Business logic such as tool calls, API decisions, and workflow routing
-
Response correctness using semantic meaning, not brittle text matching
-
Tone, safety constraints, and policy compliance
-
End states like task completion, escalation, or graceful failure
Every path is judged against what success actually means for that conversation, not just whether a message was produced.
Stress Test Real World Behavior
Chatbots operate in messy conditions. Cekura is built to surface failures that only show up outside ideal scenarios.
Teams can test:
-
Typos, incomplete inputs, and out of scope questions
-
Mid conversation interruptions and topic changes
-
Recovery behavior when something goes wrong
-
Adversarial inputs such as prompt injection or abuse
-
Variability caused by LLM randomness across repeated runs
The result is confidence that your chatbot behaves correctly even when conversations do not go as planned.
Run Path Validation Continuously, Not Once
Conversation path validation should not be a one time effort. Cekura is designed for continuous testing as your chatbot evolves.
Teams use it to:
-
Automatically generate and run large test suites
-
Execute thousands of conversations in parallel
-
Catch regressions after prompt, model, or logic changes
-
Block releases when critical paths fail
-
Re validate known paths as new edge cases are discovered
This makes conversation quality measurable and repeatable, not dependent on manual spot checks.
See Exactly Where and Why a Path Failed
When a conversation breaks, you need to know why.
Cekura provides:
-
Full turn by turn transcripts with state awareness
-
Clear identification of the step where a path diverged
-
Explanations tied to the specific rule, intent, or outcome that failed
-
Replayable conversations to reproduce issues exactly
-
Coverage insights showing which paths are exercised and which are not
Debugging becomes a focused workflow instead of guesswork.
Designed to Fit Real Chatbot Stacks
Cekura works with real world chatbot architectures, not toy demos.
It supports:
-
Custom LLM stacks and frameworks
-
API and SDK based integration: REST APIs, Python-based metrics, CI hooks
-
Multiple chat channels including web, messaging, and voice
-
Exportable results for audits, analysis, and reporting
-
Collaboration across teams with shared test libraries and versioned changes
As your chatbot grows in complexity, path validation scales with it.
If your chatbot can take many paths, every one of them should work. Cekura gives you a practical way to validate full conversation paths before users ever encounter a broken one.