The outcome

Learn the interaction loop using a small task with a clear outcome.

Upstage is a AI API platform for Solar language models, reasoning, document parsing and OCR, structured extraction, classification, embeddings, and agent workflows. Building language and document automation with Solar models, structured generation, document digitization, information extraction, classification, semantic retrieval, and agent APIs. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

Step by step

A workflow you can repeat.

  1. 01

    Define one bounded task, users, input data and file classes, expected schema, quality and safety metrics, latency, throughput, retention, cost, review, and rollback requirements.

  2. 02

    Create a dedicated API key, keep it server-side, select the current endpoint and exact model, and record limits, deployment, storage behavior, pricing, and expected error handling.

  3. 03

    Build a frozen evaluation set and run a minimal request with explicit instructions, bounded inputs and outputs, deterministic parsing, timeouts, retries, and redacted request telemetry.

  4. 04

    Inspect output against source evidence, test malformed and adversarial cases, measure latency and cost, then canary with quotas, human review for consequential use, deletion checks, and a tested fallback.

Working standard

What good use looks like.

  • State the outcome before the background.
  • Provide the real source material.
  • Review the result before expanding the task.

Language, parsing, OCR, extraction, classification, and embedding endpoints have different inputs, limits, storage, and failure modes. Upstage's educational guidance says API data is not used for model training or service R&D, while asynchronous inputs may be stored until inference completes for up to three days and outputs for up to 30 days; console inputs may be handled differently. Confirm the current terms for the chosen service, keep keys server-side, minimize files, validate every extracted value, defend downstream systems from document injection, and delete temporary and derived data on schedule.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.