The outcome
Turn a plausible draft into work you are willing to stand behind.
FastGPT is a Open-source AI application platform for knowledge bases, conversational agents, visual workflows, plugins, Agent V2, and OpenAI-compatible APIs. Building grounded Q&A applications from documents, composing visual AI workflows and plugins, and publishing controlled agents through web channels or 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.
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.
- 01
Restate the original outcome and acceptance criteria before reviewing the response.
- 02
Mark every factual claim, calculation, quotation, code path, or image detail that could materially affect the result.
- 03
Check those items against the original source, a primary reference, a test, or direct inspection.
- 04
Ask the tool to list assumptions and uncertainty, but do not rely on self-review as the only check.
- 05
Complete a human edit for relevance, tone, privacy, accessibility, and the exact delivery format.
Working standard
What good use looks like.
- Verify consequential claims independently.
- Test outputs in the environment where they will be used.
- Keep a record of sources and review decisions.
FastGPT API keys act with the current member's access inside a team, so they may reach more than one app. OpenAI compatibility does not narrow that scope. Self-hosting requires secure cookies, origins, proxies, SSRF controls, databases, object and vector storage, code sandboxing, secrets, and patches. Isolate teams, minimize keys, validate uploads, constrain HTTP and tool nodes, require human approval, and test backup, restore, deletion, and billing.
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.