Build with agents. Ship with evidence.
AI makes product changes faster to create. Traffical turns them into configurable, measurable releases, from first canary to proven default.
/ Project / change rel-483Shipping is getting faster. Confidence is not.
Coding agents increase the rate of product change. Release, measurement, and decision systems have not kept pace. Teams can now create more changes than they can safely expose, evaluate, and govern.
More changes to govern
Agent-written changes arrive faster than release processes were designed for. Controlled exposure becomes the constraint, not implementation.
More variants to measure
More versions reach production than teams can evaluate rigorously. Without built-in measurement, impact becomes anecdote.
More decisions to explain
Rollout, revert, and default decisions multiply — faster than teams can govern them consistently or keep an audit trail.
Agents write the change. Evidence determines what happens next.
Every change follows a governed lifecycle, adapted to its purpose and risk — whether a human wrote it or an agent did.
Parameterize
The agent identifies important decisions inside the change and turns them into typed, measurable parameters — with safe defaults and outcome events wired in the same pass.
Measure with the warehouse you already trust
Compute experiment evidence where your business metrics already live.
Resolve decisions in every runtime
Sub-millisecond local resolution, server and client.
Node.js SDK PHPPHP SDK 
Python SDK
React SDK 
Svelte SDK 
React
Native SDKYour agents can work with Traffical directly
The agent does not stop at implementation. With Traffical skills and MCP tools, it can identify parameters, wire events, inspect evidence, and propose lifecycle transitions within explicit policy boundaries. Config lives in YAML beside your code, reviewed in the PR like everything else.
Agents propose. Policy and people decide.
Autonomy is bounded by explicit policy. Low-risk actions can execute automatically, higher-risk transitions require approval, and prohibited actions remain unavailable — regardless of agent intent. Every action is attributable and auditable.
Decisions your product is already making
Which ranking strategy? Which onboarding path? Which AI model? Which incentive? Which threshold? Traffical turns these decisions into measurable, governed parameters.
Product and commercial
Pricing, incentives, ranking strategies, onboarding paths, thresholds — released through controlled exposure and judged on revenue and conversion.
AI feature behavior
Model and prompt, retrieval strategy, tool access, fallback, escalation, and autonomy levels — measured on task completion, conversion, and cost with real users.
Adaptive and personalized allocation
When there is no universal winner, let allocation adapt. Contextual bandits shift traffic toward what works per segment — under the same guardrails and governance.
Built for production, not just analysis
Traffical resolves decisions locally, measures outcomes in your existing data stack, and separates concurrent changes through independent layers — low-latency delivery without sacrificing trustworthy analysis.
Read the architecture docsThe SDK resolves values in-process from a synced config snapshot — no runtime API call in your hot path, no new point of failure.
Statistics computed inside your warehouse — your metric definitions stay the source of truth, with no duplicated pipeline.
Numbers, strings, enums, JSON — one parameter drives web, mobile, backend, and algorithms. Booleans are the degenerate case.
Concurrent changes get orthogonal traffic splits — many teams test at once without collisions or sample pollution.
Bring one high-impact product change. Leave with an evidence-based rollout.
Work directly with the Traffical team to take one production change from parameterization through controlled release, measurement, and rollout. We help integrate the SDK, connect trusted metrics, and establish the first governed change lifecycle.
Explore a design partnership