Build and operate AI systems in production.
Run workflows across every model provider — then see exactly what happened. Every run traced, every step's input, output, and cost recorded, every workflow rerun from any step. The operations layer for production AI.
import { Whizurai } from '@whizurai/sdk-js' const wz = new Whizurai({ apiKey }) // run a capability… const run = await wz.capabilities.run( 'research-pipeline', { sources: ['web', 'arxiv'] }, ) // …then watch every step execute const result = await wz.runs.pollUntilDone(run.id) console.log(result.steps) // input · output · cost
Demos run once. Production runs forever — and breaks in ways notebooks never show you.
The model is the easy part. What kills AI products is everything around it: the runtime, the failures, the silence when something goes wrong.
Built as a runtime, not a wrapper.
Frameworks help you write code. Whizurai runs it — durably, observably, and independent of any single provider. Four guarantees no orchestration library gives you.
Full observability
Every run is a structured trace. Inspect inputs, outputs, model calls, latency, and cost down to the individual step — long after the run finished.
Rerun from any step
Re-run a workflow from any step with the recorded inputs — or override them — to debug, test, and verify a fix without starting the whole pipeline over.
Checkpointed execution
Every step persists its resolved input, output, and status before the next one runs. Idempotency keys guard against duplicate side effects, so steps are safe to retry.
Provider routing
Route across model and media providers behind one abstraction, with per-step fallback when a provider fails. Add or switch providers without rewriting your steps.
Compose workflows.
Watch them execute.
Every step is a typed, durable unit — retried, traced, and replayable. Select a node to inspect its live configuration.
Routes the reasoning call to a primary model with automatic fallback. Output is validated against a typed schema before continuing.
Systems that run unattended — and never lose state.
AI research systems
Monitor thousands of sources, detect change, and surface insights on a durable schedule.
Media pipelines
Generate and assemble images, video, and audio across long-running, recoverable jobs.
Support agents
Resolve tickets and escalate to humans mid-flow, with full state preserved across handoffs.
Internal copilots
Search private data and take governed actions across systems with permissioned tools.
Content factories
Produce articles, posts, and assets at scale with deterministic, auditable output.
AI operations
Audit, replay, and cost-track every workflow your product depends on in production.
One execution layer between your inputs and every provider.
Whizurai sits in the middle of your stack. Swap models, add tools, or change destinations without touching workflow logic.
Execution LayerRewind any run.
Understand every decision.
Every execution is recorded as a complete trace. Inspect inputs, outputs, model calls, latency, and cost per step — then rerun from any step to debug exactly what happened.
We run the AI. You make the results.
Start free — no keys, no per-model bills. Every plan includes a monthly allowance you spend on images, video, text, and data. Teams with their own AI contracts can connect providers on Business and up.
Put your AI systems
into production.
Durable by default. Observable from day one. Free until you're running at scale.