Draft a Prompt

Production Prompt Engineering Suite

📖 12 Engines & Field Manual →
📋 LOAD PROVEN TEMPLATE
✨ AI Prompt Generator
Local Privacy Engine (Instant & Free)
Frontier Cloud AI Key (Optional)

Default generation runs instantly with local heuristics. Connect your own API key only if you want live cloud synthesis.

Storage Policy:
1
0 chars

Authority level, specific domain background, and perspective

Generic persona definitions yield generic answers. Instead of saying "Act as an expert", define specific seniority, domain specialization, and operational authority.
2
0 chars

Primary goal, core deliverable, and concrete instructions

Do not ask the model to do 10 things at once in a single run. Define a clear primary deliverable, and sequence secondary goals logically.
3
0 chars

Operational environment, stakeholders, and existing tech stack

Without explicit environment details, LLMs make plausible-sounding assumptions that often contradict your company's actual stack.
4
0 chars

What the AI must NOT do; tone, style, and quality boundaries

Contradictory constraints force models into erratic behavior. Prioritize depth over breadth.
5
0 chars

Structure, sections, length, and format

Without a declared output format, models default to rambling conversational text. Enforce exact headers.
6 Optional
0 chars

Show the AI what good output looks like

Few-shot examples calibrate complex custom syntax, tone calibration, and boundary edge cases.
✨ AI ENHANCERS — Polish & Strengthen Prompt

Finished drafting? Apply reasoning, anti-hallucination guardrails, or automatic polish:

⚠ Common Prompt Anti-Patterns — Mistakes to Avoid
1. Vague Persona Assignment

Saying "act as an expert" without declaring specific experience or domain.

✓ Fix: Specify years in field and architectural authority.
2. Conflicting Instructions

Commanding "be brief yet exhaustive".

✓ Fix: Define exact word ceilings.
3. Unstructured Output

Leaving format unspecified leads to chatty intros.

✓ Fix: Mandate a Markdown template with zero preamble.
4. Lack of Negative Constraints

Only stating what to do without establishing guardrails.

✓ Fix: Explicitly list forbidden terms and filler.
5. Context Starvation

Omitting audience, stack, and deployment environment.

✓ Fix: Name specific technologies and scale.
6. Contradictory Examples

Providing examples that violate rules.

✓ Fix: Ensure every sample strictly adheres to rules.
Score: 0% | 0w