Key facts
| Endpoint | POST https://api.plugsky.com/v1/chat/completions with streaming for drafting and JSON mode for briefs |
| Compatibility | Same shape as OpenAI; change base_url and model name |
| Models | 30+ models; mix aliases across research, drafting and editing stages |
| Structured briefs | JSON mode returns outline and metadata your pipeline can validate |
| Pricing model | Flat monthly self-serve plans with unlimited fair-use usage |
| Free tier | Free plan with 2 free AI models, no card required |
| Governance | Scoped keys and usage analytics per content pipeline |
| Roadmap | Images and batch endpoints are coming soon |
TL;DR
- Make the brief structured data; every downstream stage validates against it.
- Stream drafts for interactive tools, but persist the complete text for review.
- Run validators in code: links, banned phrases, length, required sections.
- Use a separate edit pass against a written rubric, not a vague 'improve this'.
- OpenAI compatibility means your existing content tooling keeps working.
How it works, step by step
- Change the base URL to Plugsky and confirm an existing generation request streams correctly.
- Define the brief schema and generate it in JSON mode from a short input.
- Draft the body with streaming, requiring references to the sources in the brief.
- Run an edit pass that applies the style rubric and is forbidden from adding claims.
- Validate programmatically: required sections, word counts, links and banned phrases.
- Queue the result for human review and log stage outputs for regression testing.
Original data
Try it yourself
Open the AI prompt generator →
Architecture of the content pipeline
Four services around one API:
- Brief builder: JSON mode turns a short request into audience, outline, required claims, sources and constraints.
- Draft service: streams the body against the brief and source material.
- Editor service: applies the style rubric, preserving facts and required structure.
- Validator: code-level checks for links, length, banned phrases and required elements.
Streaming is for the authoring experience; review and validation consume the persisted full text, so the two paths stay independent.
Implementation details
Keep generation reproducible and reviewable:
- Pass sources in the prompt and require inline references; never rely on model memory for facts.
- Pin the alias and settings per content type so results are comparable over time.
- Cap output length per section and assemble, rather than generating one giant response.
- Keep the edit pass narrow: tone, clarity, structure and length only.
- Store drafts with model, prompt version, sources and validator results for audit.
- Reject drafts that fail hard validators automatically instead of sending them to review.
Evaluation and limitations
Score the pipeline with metrics reviewers care about:
- Brief adherence: required sections and claims present.
- Rubric score: automated or human scoring of clarity, tone and structure.
- Edit distance: changes made before publish, tracked per content type.
- Validator pass rate: share of drafts clearing all code checks on the first attempt.
- Reviewer rejection reasons: clustered to find recurring prompt or source gaps.
Honest limits: the model cannot verify facts it was not given, image generation and batch processing are coming soon, and originality and licensing review remain human responsibilities.
Honest comparison
| Capability | Pipeline on Plugsky API | Chat interface copy-paste | Traditional CMS plus freelancers |
|---|---|---|---|
| Integration | OpenAI-compatible calls in your stack | Manual | Editorial workflow |
| Brief enforcement | Structured brief validated in code | Informal | Editor briefs |
| Validation | Automated link and length checks | Manual | Copy desk |
| Model choice | 30+ aliases across stages | One interface model | Not applicable |
| Traceability | Drafts stored with sources and versions | Chat history | Document history |
Frequently asked questions
Do I need two model calls to generate an article?
At minimum a draft pass and an edit pass. Separating them improves structure and prevents the edit step from inventing new claims.
Should I stream the draft?
Stream for interactive authoring, but save the complete text and run validators against the saved version, not the stream.
How do I enforce structure?
Generate the brief in JSON mode with an explicit outline, then validate the draft against that outline in code before review.
How do I keep facts accurate?
Provide sources with the draft request, require inline references, and treat any claim without a source as a defect.
Which model should write versus edit?
Use a stronger alias for drafting and a capable, cheaper one for the edit pass. Different content types may benchmark better on different aliases.
Can Plugsky generate article images?
Not yet — images are coming soon. Keep visual production in your existing tooling for now.
Can I build the pipeline for free?
Yes. The free plan includes two free models with no card, and the 14-day full-access trial lets you benchmark drafting aliases on your briefs.