20+ templates for resume writing. CV formatting, achievement quantification, cover letters, and LinkedIn profile optimisation with the STCO framework.
CV formatting, achievement quantification, cover letters, and LinkedIn profile optimisation. Without structure, AI outputs for resume writing are generic and require heavy editing. The STCO framework (Situation, Task, Constraints, Output) ensures every prompt produces usable, specific results by encoding your exact requirements upfront. This eliminates the trial-and-error cycle that wastes time and API credits.
Situation: Define the context — who is the audience, what is the current state, what background does the AI need? Task: Specify exactly what deliverable you need — be precise about the scope. Constraints: Provide the job description, your experience level, and specify whether you want ATS-friendly or creative format. Output: Define the format, length, and structure of the response you need. This four-part structure produces dramatically better results than freeform prompting.
The most common mistake when using AI for resume writing: Not including the specific job posting — AI can't tailor the resume without knowing what the employer wants. Other pitfalls include not iterating on your prompts (treating the first output as final), ignoring the model's strengths and limitations, and failing to provide examples of what "good" output looks like. STCO addresses all of these by forcing you to think through requirements before prompting.
AI Prompt Architect provides 20+ templates specifically designed for resume writing. Each template follows the STCO framework and has been tested across GPT-4o, Claude 4, and Gemini 2.5 for consistent quality. Templates include real-world examples, suggested model settings (temperature, max tokens), and guidance on when to use each variant.
Start with our most popular resume writing template, customise the Situation and Constraints sections for your specific context, and generate your first output. The STCO Prompt Scorer will evaluate your prompt's structure and suggest improvements. Most users see a 40-60% quality improvement in their AI outputs within their first session.
The best prompts for resume writing use the STCO framework: define the Situation (context and audience), Task (specific deliverable), Constraints (provide the job description, your experience level, and specify whether you want ats-friendly or creative format), and Output (format and length). This structure produces specific, actionable results instead of generic AI output.
Yes — AI excels at cv formatting, achievement quantification, cover letters, and linkedin profile optimisation when given structured prompts. The key is providing enough context and constraints. Not including the specific job posting — AI can't tailor the resume without knowing what the employer wants — STCO-structured prompts solve this by encoding all requirements upfront.
For resume writing, we recommend starting with GPT-4o or Claude 4 for their strong general capabilities. Gemini 2.5 excels when you need to process large documents. The STCO framework works across all models, so you can switch freely based on your needs and budget.
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