Run an editorial pipeline that drafts, optimises and localises SEO articles, social posts, product descriptions and ad variants — on-brand, in 30+ languages, with a human-in-the-loop review loop.
Updated Aug 16, 2026 · Start building free →Content marketing at scale is not a writing problem — it is a pipeline problem. The bottleneck is editor capacity: a single writer turns out 3 polished articles a week. An LLM pipeline can draft 100 drafts a day and let one editor ship the best 10. DrAI gives you the models, the streaming endpoint, and the flat-cost predictability to run that pipeline without per-token fear.
curl -N https://api.dr-ai.top/v1/chat/completions \
-H "Authorization: Bearer sk-***" \
-H "Content-Type: application/json" \
-d '{
"model": "claude-sonnet-4",
"stream": true,
"messages": [
{"role": "system", "content": "You are DrAI''s content editor. Tone: confident, practical, never hype-y. Active voice, short paragraphs, every claim cited."},
{"role": "user", "content": "Write a 1,200-word SEO article on \"AI API for customer support\". Outline: intro → 5 use cases → ROI table → conclusion."}
]
}'import asyncio
from openai import AsyncOpenAI
client = AsyncOpenAI(base_url="https://api.dr-ai.top/v1", api_key="sk-***")
async def translate(text, target, brand):
r = await client.chat.completions.create(
model="gpt-5",
messages=[
{"role": "system", "content": f"Translate to {target}. Keep brand voice: {brand}. Preserve markdown."},
{"role": "user", "content": text},
],
temperature=0.4)
return r.choices[0].message.content
async def main(source):
locales = ["ja", "es", "de", "fr", "zh-CN"]
out = await asyncio.gather(
*[translate(source, l, "confident & practical") for l in locales]
)
return dict(zip(locales, out))| Metric | Manual writing | AI-assisted pipeline |
|---|---|---|
| Articles / writer / week | 3 | 25 |
| Cadence to publish | ~5 days | < 4 hours |
| Cost per 1,200-word article | $180 | $3.20 |
| Languages published in | 1 | 5+ |
| Organic traffic (90-day) | baseline | +210% |
For a publishing team producing 50 articles/month, switching from a freelance pool (~$180/article) to an LLM-assisted editorial pipeline (~$3.20/article in DrAI subscription cost) drops monthly spend from $9,000 → $160 and unblocks 500 articles/month throughput with the same headcount.
Deep-dive from the DrAI blog — practical implementation and ROI analysis.
Deep-dive from the DrAI blog — practical implementation and ROI analysis.
Deep-dive from the DrAI blog — practical implementation and ROI analysis.
Deep-dive from the DrAI blog — practical implementation and ROI analysis.
One endpoint, 18+ models, flat subscription. Stop choosing between quality and quantity.
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