Five-stage workflow
01Aggregate app reviews, surveys, tickets, and interview notes
02Deduplicate content and remove personal information
03Identify topics, sentiment, severity, and user segments
04Link feedback to product versions, features, and metrics
05Publish an opportunity backlog and track post-fix changes
Recommended components
Start with one component per capability and replace it only when evaluation data shows a clear gap.
From proof of concept to production
- 01Define the user journey, input and output schemas, permission boundaries, and success metrics.
- 02Build one end-to-end happy path with the smallest viable tool stack and a fixed evaluation set.
- 03Add authentication, timeouts, retries, fallbacks, audit logs, and human review for risky actions.
- 04Release to a limited audience, measure quality, latency, and cost, then expand with evidence.
Framework-neutral orchestration skeleton
TypeScript
type WorkflowInput = { request: string; userId: string };
type StageAdapter = (context: unknown) => Promise<unknown>;
const stages = [
"Aggregate app reviews, surveys, tickets, and interview notes",
"Deduplicate content and remove personal information",
"Identify topics, sentiment, severity, and user segments",
"Link feedback to product versions, features, and metrics",
"Publish an opportunity backlog and track post-fix changes"
];
const selectedTools = [
"Open Library"
];
export async function runWorkflow(input: WorkflowInput, adapters: Record<string, StageAdapter>) {
let context: unknown = { ...input, selectedTools };
for (const stage of stages) {
const adapter = adapters[stage];
if (!adapter) throw new Error(`Missing adapter: ${stage}`);
context = await adapter(context);
}
return context;
}Implement each adapter on the server with the selected component’s official SDK or API. Never expose provider credentials in browser code.
Production checklist
- ✓Every stage has a defined owner, input, output, timeout, and failure state.
- ✓Credentials and sensitive data stay server-side with least-privilege access.
- ✓Model output is validated before it reaches a database, user, or external action.
- ✓Sources, tool calls, prompts, versions, and human decisions are traceable.
- ✓A fixed evaluation set covers normal, ambiguous, adversarial, and unavailable-tool cases.
- ✓The workflow has a visible fallback and a manual recovery path.