The science is theirs. The workflow is ours.

Google, OpenAI, Anthropic, Meta, and Microsoft document what works. We condensed it into a workflow you can use today.

The Problem: Too Many Sources, No Clear Path

Prompt engineering research is everywhere: Google's 7-component framework, Anthropic's 9 techniques, OpenAI's 6 strategies, Meta's 6-step methodology, Microsoft's 5-component model, plus 1,500+ academic papers.

For an analyst or consultant, that's not helpful—it's overwhelming. You need a workflow you can use today, not a reading list for next month.

Google Gemini

7 components

Anthropic Claude

9 techniques

OpenAI GPT

6 strategies

Meta Llama

6-step method

Microsoft Azure

5 components

What Research Shows

Structured prompts consistently outperform natural language across benchmarks. This isn't theory—it's validated by Google, OpenAI, Anthropic, Meta, Microsoft, and 1,500+ independent academic papers.

224%

Improvement with structured chain-of-thought prompting on math problems

Wei et al., Google Research, 2022

35%

Reduction in failure rates through structured prompts

OpenAI GPT-5.1 Prompting Guide, 2025

The universal finding: Format structure matters more than word count. A 50-word structured prompt outperforms a 500-word rambling prompt while costing 90% less.

Schulhoff et al., "The Prompt Report" (1,500+ papers analyzed), 2025

Even GPT-5.1 Needs Structure

OpenAI's latest prompting guide (November 13, 2025) for GPT-5.1—their most advanced model—reinforces our core insight: format beats verbosity.

35%

Reduction in failure rates through structured tool definitions

“Small prompt changes”

Produce large gains in reliability—through structure, not more words

Clear Agent Personas

GPT-5.1 guide emphasizes "defining clear agent personas for personality control" — LLM Language includes this.

Explicit Output Formatting

"Explicit output formatting instructions" are critical for GPT-5.1 — LLM Language makes this mandatory.

Concise Task Definitions

GPT-5.1 performs best with "concise task definitions" — not rambling essays, but structured instructions.

If the most popular AI in the world needs structure, your prompts definitely do too.

OpenAI GPT-5.1 Prompting Guide, November 2025

Our Synthesis: LLM Language

We studied official documentation from Google, OpenAI, Anthropic, Meta, and Microsoft, plus 1,500+ independent academic papers. Then we built TEEX5 — the structured format that gets 35% better results than natural language prompts.

Natural language

"Can you analyze the sales data and give me some insights for my presentation?"

TEEX5

<task>Analyze Q4 sales</task><context>Executive presentation</context><output>5 bullet points</output><examples>Good: "Revenue up 12%"</examples><persona>Senior analyst</persona>

Same intent. Different results. TEEX5 combines structured content blocks with explicit formatting — the syntax that AI actually parses. You build with our guided interface. We generate TEEX5 automatically.

LLM Language has a name: TEEX5 — Token-Efficient Expression for Analytics.

Our Validation: TEEX5 vs Human Language

We tested the same prompt content in both formats across multiple LLM models. TEEX5 structured format consistently outperformed natural language.

100%

Accuracy in critical cases

Up to 33%

Faster first response

Up to 74%

Faster reasoning time

Up to 64%

Fewer tokens used

Why this matters: Efficiency comes from first-time accuracy. In our tests across 16 unique models, natural language prompts showed high hallucination rates in cases where TEEX5 maintained 100% accuracy. Getting it right the first time eliminates costly retry attempts—that's token efficiency in practice.

Tested across reasoning models and standard models. 15 out of 16 models showed measurable performance gains with TEEX5 structure. Analysis computed by Claude Opus 4.5 (Anthropic) based on raw test data.

What Makes Us Different

Prompt engineering is hard. Reading papers, testing formats, guessing what works. We solved that. TEEX5 is the structured format that gets 35% better results — and our interactive builder makes it effortless to create.

We simplify the complexity. You get better outputs.

No need to learn prompt engineering theory. Choose your mode, follow the flow, export structured prompts that AI actually understands. Research-backed. Results-proven.

Three ways to build. Choose yours.

MODE 01

Structured

Know what you want? Fill the 5 blocks directly. Full control over every field.

MODE 02

AI-Guided

Write naturally. AI asks smart questions, builds each block. You approve before moving forward.

MODE 03

AI-Built

Describe your goal + show an example. AI reverse-engineers the complete structure.

Prompt Wallet

Auto-save. Folders. Favorites. Your prompt library grows with every project.

Use Anywhere

Copy TEEX5 prompts to ChatGPT, Claude, Gemini, or any AI tool. No lock-in.

BYOK

Your API keys. Your costs. Zero markup. Works with all major providers.

The Evidence Behind TEEX5

We created TEEX5 by synthesizing best practices from all major AI providers' public documentation, validated by independent academic research. The principles are theirs. The structured implementation is ours.

Google

7-component framework

OpenAI

XML in GPT-5.1 examples

Anthropic

XML for Claude

Ready to Speak LLM Language?

Build. Validate. Copy TEEX5. Get 35% better results.

Start Building Today

Disclaimer: Google, Gemini, OpenAI, ChatGPT, Anthropic, Claude, Meta, Llama, Microsoft, and Azure are trademarks of their respective owners. This page references publicly available documentation for educational and comparative purposes. We are not affiliated with, endorsed by, or sponsored by these companies.