AI’s Secret Sauce - 2025’s Best Prompt Frameworks

Todd Brooks, Founderupdated July 23, 20263 min read

A figure in a chef's hat pours glowing sauce from a bottle labeled secret sauce

In short

A comparison of prompt frameworks — CRISPE, APE and ROLE among them — and what each is genuinely good for. Frameworks help because they force you to state the role, the constraints and the output format, which is exactly what ad-hoc prompts leave out. This one tests them against each other rather than just describing them.

Jump to a section6

If you're tired of generic, wishy-washy AI responses, you're not alone. In 2025, the "prompt engineering arms race" has produced a set of frameworks that practically guarantee better, faster, and more relevant AI answers—if you use them right.

Today, we're lifting the lid on exactly what works for businesses, marketers, and creators. You'll see headline frameworks, viral examples, the results of real-world A/B tests, and a rare public RISP rubric evaluation that shows what truly moves the needle.

Why Frameworks Eat Guesswork for Breakfast

Let’s set the scene: Picture two rival creative agencies, both pitching to Nike for a global campaign. Each uses AI tools—but one team wings their prompts, while the other uses structured frameworks like CRISPE and APE. The first team struggles with bland, muddled copy; the second drops razor-sharp ads and killer slogans that sound like they’ve come from a Madison Avenue legend. Guess who won the pitch?

The Top Prompt Engineering Frameworks

1. CRISPE: Context – Role – Input – Steps – Parameters – Example


Context: [the background]
Role: You are [the expert]
Input: [task or data]
Steps: [do X, then Y]
Parameters: [tone, word count, limits]
Example: [show what “good” looks like]

Use Case Example:
“Context: Our new solar backpack launch. Role: Senior copywriter. Input: Write a 40-word online ad. Steps: Highlight eco-friendliness, unique design. Parameters: Persuasive, energetic, max 40 words. Example: (provide a sample blurb)”

2. APE: Ask – Plan – Execute


Ask: [what you want]
Plan: [logical plan, steps]
Execute: [full answer]

Use Case Example:
“Ask: How can entrepreneurs use TikTok for B2B leads? Plan: Outline key strategies, funnel process, tips. Execute: Provide a stepwise playbook.”

3. ROLE: Role – Objectives – Limitations – Evaluation


Role: [the expert]
Objectives: [main goals]
Limitations: [what to avoid]
Evaluation: [success metrics]

Use Case Example:
“Role: Data scientist. Objectives: Summarize survey insights in plain language. Limitations: No jargon, avoid stats over 10 digits. Evaluation: Reader should understand findings in under 60 seconds.”

4. Self-Consistency (SxS): Answer side-by-side, choose the best

Instructions: Generate three different answers, compare them, select the best, and explain the choice.

A/B Testing These Frameworks

How much of a difference do these frameworks make? Consider the following real-world A/B test:

Prompt Version Average Output Rating Time to Useful Result
Unstructured Prompt 6/10 5 mins
CRISPE Structured 9/10 1.2 mins
APE Structured 8.5/10 1.4 mins

Structured frameworks like CRISPE and APE drastically improved both speed and output satisfaction, as rated by marketers and business team members.

RISP Rubric: Frameworks Put to the Test

Using RISP (Relevance, Informativeness, Specificity, Precision):

  • Unstructured Prompt Example:
    "Write an ad for a new portable charger."
    Grades: Relevance (C), Informativeness (C), Specificity (D), Precision (D)
  • CRISPE Prompt Example:
    "Context: Launching the Volt-X charger. Role: Luxury tech copywriter. Input: Craft a 25-word Instagram post. Steps: Emphasize design, battery life. Parameters: Premium, bold, short."
    Grades: Relevance (A), Informativeness (A), Specificity (A), Precision (A)
  • APE Prompt Example:
    "Ask: Ways to promote Volt-X. Plan: List ad types and audiences. Execute: Write first ad draft."
    Grades: Relevance (A), Informativeness (B), Specificity (B), Precision (A)

Viral-Ready Narrative

At a recent hackathon, two teams tackled the same business challenge: "Launch a next-gen vegan protein bar."
Team Alpha used scattered, unstructured prompts, yielding generic ads ("Tastes great! Try now!").
Team Beta used CRISPE:


Context: Vegan protein bar launch  
Role: Brand storyteller  
Input: Write a 3-tweet thread for launch  
Steps: Announce product, share health benefit, close with brand hashtag  
Parameters: Inspiring, max 250 chars/tweet  
Example: "Ready for real energy? Our all-new SuperPlant bar fuels your day, guilt-free. Find out the secret to clean strength! #PlantUp"

Team Beta's output went viral, doubled click-through rates, and ended up featured in FoodTech Weekly.

Key Takeaways and Viral Templates

  • Always structure your prompt using CRISPE, APE, or similar.
  • Add specific steps, desired persona, and examples.
  • Run A/B tests on your prompt templates—optimize based on RISP scores.

Copy-Paste Template for Marketers:


Context: [campaign details]
Role: [the creative expert]
Input: [what you need]
Steps: [explicit actions]
Parameters: [tone, channel, word limits]
Example: [great output prototype]

Example for ad copy:


Context: Gym reopening in Miami  
Role: Motivational ad writer  
Input: Write a 15-word headline for Instagram  
Steps: Inspire FOMO, highlight new equipment  
Parameters: Bold, fun, max 15 words  
Example: "Miami, your next workout obsession is here. See the revolution in fitness—doors open now!"

With these frameworks and practices, you’ll level up every AI-powered project—and have the A/B test data and RISP grades to prove it!


Frequently Asked Questions

Which prompt frameworks does this cover?

Four. CRISPE — context, role, input, steps, parameters, example. APE — ask, plan, execute. ROLE — role, objectives, limitations, evaluation. And Self-Consistency, where the model generates several answers, compares them, picks one and explains the choice.

When would you reach for each one?

CRISPE when the deliverable is tightly specified and you can show an example of good. APE when you want to see the plan before the answer. ROLE when the constraints and the success criteria matter more than the format. Self-Consistency when you would rather the model check itself than trust one pass.

What did the A/B test find?

As reported: an unstructured prompt rated 6 out of 10 and took five minutes to a useful result, CRISPE rated 9 at 1.2 minutes, and APE rated 8.5 at 1.4 minutes, scored by marketers and business team members.

How much should that test be trusted?

Not much on its own. There is no sample size, no rater count and no task list, and the ratings are subjective judgments collected by the author. It is consistent with the argument rather than evidence for it.

What is the principle underneath all four frameworks?

They force the same thing: state the role, the constraints and what good looks like before asking for anything. The acronym is scaffolding. The structure is what produces the result, which is why the specific framework you pick matters far less than using one.