Build guide

How to build an AI content writer with Vikasit AI

An AI content writer turns a brief into polished copy — blog posts, product descriptions, social captions, or emails. The trick is a strong system prompt that encodes tone, structure, and constraints.

Recommended model

Vikasit 3 Max

Long-form, high-quality prose benefits from our most capable model. For high-volume, simpler copy, Vikasit 3 keeps costs low.

Steps

1
Write a system prompt that defines the brand voice, audience, and format rules.
2
Collect the brief: topic, key points, target length, and call to action.
3
Pass the brief to the model and request a structured draft (headings, intro, body, CTA).
4
Use a second pass to tighten, fact-check, or adjust tone if needed.
5
Enforce length and formatting with explicit instructions and a max_tokens cap.
6
Optionally generate variants by adjusting temperature for A/B testing.

Code

The Vikasit Inference API is OpenAI-compatible, so this uses the standard OpenAI Python SDK pointed at https://api.vikasit.ai/v1.

content-writer.py

from openai import OpenAI

client = OpenAI(
    base_url="https://api.vikasit.ai/v1",
    api_key="sk-vikasit-...",  # get one at vikasit.ai/auth
)

def write_post(brief: str) -> str:
    resp = client.chat.completions.create(
        model="vikasit-3-max",
        messages=[
            {
                "role": "system",
                "content": "You are a senior content writer. Write clear, engaging, well-structured copy with headings.",
            },
            {"role": "user", "content": f"Write a 600-word blog post about:\n{brief}"},
        ],
        temperature=0.7,
    )
    return resp.choices[0].message.content

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