Product / KynticAI Clarity Gateway
AI requests should be clear before they reach the model.
KynticAI Clarity Gateway gives AI tools a local intent layer that detects ambiguity, asks clarifying questions, frames intent, and forwards cleaner requests to your chosen provider.
Intent before inference
Clarity Gateway sits in the request path before an AI tool sends ambiguous work to a model provider.
Local first
Intent handling runs in the local or customer-controlled boundary unless an approved provider route is explicitly configured.
Provider compatible
OpenAI-compatible and Anthropic-compatible gateway routes let existing clients keep their familiar integration shape.
How It Works
A local gateway for understanding intent before provider routing.
Clarity Gateway is built for AI-enabled tools that need cleaner requests, safer handoffs, and provider compatibility without moving raw customer data outside the customer-controlled boundary by default.
Connect existing AI tools through an OpenAI-compatible or Anthropic-compatible local gateway.
Analyse intent locally.
Clarify ambiguous requests before model spend.
Forward clear, structured requests to the configured provider.
Track session intent safely with Redis Stack.
Gateway Path
Existing clients point at Clarity first.
The gateway checks whether the user's request is ready to send. If the intent is unclear, it asks for the missing piece. If the request is clear, it forwards a structured provider request under the configured deployment policy.
01
AI tool request
A compatible client sends the user's request to the local gateway instead of calling the model provider directly.
02
Intent mediation
Clarity Engine checks the request for missing subject, scope, timeframe, route, source need, and output shape.
03
Clarification path
When the request is ambiguous, the user gets a focused clarifying question before unnecessary provider calls begin.
04
Structured provider handoff
Clear requests are framed and forwarded to the configured OpenAI-compatible or Anthropic-compatible provider route.
Developer Flow
A practical request path for compatible clients.
The integration story is intentionally simple: point compatible tools at the local gateway, let the ICA intent layer mediate the request, then forward only through the configured provider or workflow route.
01
AI tool
Compatible client, assistant, agent, workflow, or product surface.
02
Local Clarity Gateway
OpenAI-compatible or Anthropic-compatible local request path.
03
ICA intent layer
Clarification, intent framing, and safe session-intent handling.
04
Upstream provider/workflow
Configured provider route, internal model path, tool, or human workflow.
ICA is presented here as the public intent-layer contract: clarify, frame, and route. Proprietary scoring, selection, and mediation internals stay outside the website copy.
Data In, Data Out
The gateway turns a vague request into an answerable handoff.
This is an illustrative request path, not live customer data. It shows the public contract: receive the request locally, ask for missing intent when needed, then forward a clearer provider or workflow request.
Data in
Ambiguous request arrives locally
client = customer_success_assistant
request = show me the best accounts
missing = best by renewal risk, revenue, expansion, or support urgency?
missing = timeframe
route = local_clarity_gateway
The gateway receives the AI-tool request inside the local or customer-controlled boundary and checks whether it is answerable.
Gateway response
Clarification before provider spend
status = clarification_required
question = Should best accounts mean renewal risk, expansion potential, revenue value, or support urgency?
suggested_scope = next 45 days
provider_call = paused
The first output can be a focused question rather than a model call, because the request is not clear enough to forward safely.
Data out
Structured request is forwarded
resolved_intent = rank renewal-risk accounts
scope = next 45 days
source_need = CRM + support + usage
output_shape = account, reason, owner action, caveat
forward_to = configured_provider_or_workflow
After clarification, the configured provider or workflow receives a cleaner request with the user intent pinned.
Benefits
Clearer intent makes the whole AI workflow easier to trust.
The commercial value is not a benchmark-style shortcut claim. It is the operational control gained when tools clarify intent, frame the request, and hand providers a cleaner job.
Fewer ambiguous model calls
Better instruction fidelity
Local-first intent handling
Provider-compatible integration
Safer handoff between tools and workflows
Developer Positioning
Point compatible clients at the local gateway.
Point compatible clients at the local gateway. Clarity Engine handles intent mediation before forwarding to OpenAI-compatible or Anthropic-compatible providers.
Boundary
Session intent can be tracked with Redis Stack inside the deployment boundary. Provider calls use only the configured route, and customer data does not leave the local or customer-controlled environment unless that route has been explicitly approved.
Build With Clarity Gateway
Put the intent layer in front of the model route.
Bring the AI tool, the provider route, and the ambiguous request pattern. KynticAI will map where Clarity Gateway should mediate intent before the next model call.