Clarity Gateway / Developer Integration
Put Clarity exactly where vague prompts become expensive.
Developers can place Clarity Gateway in front of approved model gateways, internal tools, agent workflows, CLI operations, MCP surfaces, or application code, turning ambiguous requests into inspected handoffs before costly routes begin.
Drop in before the gateway
Use SDK, CLI, MCP, or proxy-style routes at the point where user intent becomes model or workflow spend.
Clarify in the request path
Return a question, structured intent, or handoff contract that application code can inspect.
Forward approved work
Resolved requests move through the deployment's approved upstream boundary with safe error behaviour.
What it does
The concrete job
It exposes integration patterns for TypeScript, Python, CLI, MCP, and proxy-style routes so resolved intent can be created, inspected, and forwarded through the approved deployment boundary.
Why buyers care
The commercial reason
Product and platform teams can add intent clarity where the expensive mistakes happen: before relationship traversal, before model calls, before automated actions, and before confused tickets reach a human owner.
Sales path / Developer Integration
Clarity sits before the AI gateway where vague prompts become expensive.
The developer route gives product teams a simple buyer story: catch the ambiguous request in the app, return a useful question or handoff, then forward only approved work.
Buyer question
Where should Clarity sit in the product before the model route starts?
Example output buyers can understand
Developer output: a typed response saying clarification is required, with the exact question to show the user.
After resolution: a compact handoff envelope that the approved gateway can receive.
Product outcome: fewer vague prompts reach the costly route, and users see a smarter first interaction.
The buyer sees where Clarity plugs in: before the spend, before the wrong route, and before the support team inherits confusion.
01
App request in
A product feature receives a user prompt that is too vague to route straight to a model or workflow.
user_prompt = do the customer-risk thing for top accounts
app_route = AI workspace action
risk = gateway receives the wrong task
02
SDK responds
The application gets a structured result it can show, test, or route.
sdk_status = clarification_required
question = Should customer risk mean renewal, support, credit, or expansion risk?
next_step = wait for answer or use approved default route
03
Proxy forwards
After resolution, the proxy sends a compact handoff through the approved gateway boundary.
resolved_intent = renewal-risk action brief
proxy_route = approved gateway path
handoff = compact envelope with caveats
Concrete example
Application prompt becomes a proxy-ready Clarity handoff
Example input
App call: classify and frame the user's request before routing to the approved AI gateway.
User request: 'Do the customer-risk thing for the top accounts and make it board ready.'
Deployment target: internal proxy path with approved upstream gateway shape.
Example output
sdk_result.status = clarification_required
question = 'Should customer risk mean renewal risk, support risk, credit risk, or expansion risk?'
resolved_handoff = created after answer
proxy_route = approved gateway path with compact intent envelope
Proof marker
SDK, CLI, MCP, and proxy surfaces can be covered by local package tests.
Proxy routes use approved upstream gateway configuration under deployment policy.
Safe error handling keeps provider or service details out of casual user-facing output.
How it works
The operating flow buyers can understand.
Each Clarity capability is explained through input, output, route, and validation markers. The proprietary method stays protected while the buyer sees exactly what the system creates and why it matters.
Choose the integration point
Add Clarity before a model gateway, tool call, agent path, support workflow, or human queue.
Use SDK, CLI, MCP, or proxy
Generate clarification, structured intent, or a routeable handoff through the integration surface.
Read the contract
Inspect the public-safe intent fields, caveats, and route markers.
Route under policy
Send the handoff to the approved model, tool, workflow, or human route.
Output created
The data artefacts that make the capability useful.
SDK response
A structured result for application code, tests, and product workflows.
Proxy handoff
A compact routeable request for approved gateway shapes and internal model paths.
MCP tool surface
A tool-facing contract for agent and developer workflows that need clarity before action.
Buyer payoff
Clarity lands where the cost starts.
Pain
Developers bolt AI into the app, then discover the expensive failures all start with vague requests.
Relief
Clarity sits in the request path, clarifies or frames intent, and forwards the governed handoff.
Outcome
Faster product adoption, easier internal governance, and fewer model calls spent on ambiguous work.
Proof
Proof comes from package tests, proxy conformance checks, safe-error fixtures, and local integration walkthroughs.
Example scenario boxes
Where this capability shows up in the real buyer conversation.
AI gateway
Old way
Every user prompt is sent straight to the model route.
With Clarity
The proxy checks ambiguity and creates a compact intent envelope first.
The gateway receives a better task with a cleaner contract.
Agent workflow
Old way
An agent starts tool calls before knowing the user's real decision.
With Clarity
The MCP surface asks for clarification or returns a structured task.
The agent calls fewer irrelevant tools and produces a more useful dossier.
Product feature
Old way
The application team hardcodes prompt templates for every vague request.
With Clarity
The SDK creates a governed intent frame that the product can inspect.
The feature behaves intelligently while proprietary internals stay protected.
Continue the product path
Connect this capability to the rest of KynticAI Clarity Gateway.
Bring the repeated ambiguous request. KynticAI will shape the first Clarity proof around it.
Pick the repeated prompt, workflow, support path, agent route, or executive brief where one missing variable causes expensive rework. KynticAI can map the first Clarity proof around that moment.