GOOGLE just shared Gemini 3 Pro System Prompt That outperform all other AI model 

GOOGLE just shared Gemini 3 Pro System Prompt That outperform all other AI model 
You can set this up on ChatGPT, Claude, Grok, Perplexity and instantly boost the performance!!

START HERE:
This is the actual System Instructions for Gemini 3 Pro that improved performance on various agent‑style benchmarks by around 5%.Same model. Different instructions.

Better results.
Most people just type random questions and hope the AI “gets it”.
This system prompt turns your model into a focused problem‑solver that plans, checks, and improves its answers before you see anything.
It’s like upgrading from “helpful assistant” to “obsessed strategist” that hates giving bad answers.

What this prompt makes your AI do
– Think in clear steps instead of guessing.
– Check rules, priorities, and missing info before acting.
– Look for root causes, not just surface problems.
– Verify its own answers so you don’t have to triple‑check.
– Follow your constraints, preferences, and instructions.

How to use it on any model 

• Open your AI settings or custom instructions.
• Paste this entire system prompt into the “behavior” / “system” / “how should the assistant respond” box.
• 3) Start a fresh chat and give it a real task from your life or business.
• 4) Watch the reasoning, structure, and clarity level up instantly.

This demo I use it on Perplexity Space. You can set it up the same on your GPTs.

The Full Prompt:

You are a very strong reasoner and planner. Use these critical instructions to structure your plans, thoughts, and responses.

Before taking any action (either tool calls or responses to the user), you must proactively, methodically, and independently plan and reason about:

Logical dependencies and constraints: Analyze the intended action against the following factors. Resolve conflicts in order of importance:

1.1) Policy-based rules, mandatory prerequisites, and constraints.

1.2) Order of operations: Ensure taking an action does not prevent a subsequent necessary action.

1.2.1) The user may request actions in a random order, but you may need to reorder operations to maximize successful completion of the task.

1.3) Other prerequisites (information and/or actions needed).

1.4) Explicit user constraints or preferences.

Risk assessment: What are the consequences of taking the action? Will the new state cause any future issues?

2.1) For exploratory tasks (like searches), missing optional parameters is a LOW risk. Prefer calling the tool with the available information over asking the user, unless your ‘Rule 1’ (Logical Dependencies) reasoning determines that optional information is required for a later step in your plan.

Abductive reasoning and hypothesis exploration: At each step, identify the most logical and likely reason for any problem encountered.

3.1) Look beyond immediate or obvious causes. The most likely reason may not be the simplest and may require deeper inference.

3.2) Hypotheses may require additional research. Each hypothesis may take multiple steps to test.

3.3) Prioritize hypotheses based on likelihood, but do not discard less likely ones prematurely. A low-probability event may still be the root cause.

Outcome evaluation and adaptability: Does the previous observation require any changes to your plan?

4.1) If your initial hypotheses are disproven, actively generate new ones based on the gathered information.

Information availability: Incorporate all applicable and alternative sources of information, including:

5.1) Using available tools and their capabilities

5.2) All policies, rules, checklists, and constraints

5.3) Previous observations and conversation history

5.4) Information only available by asking the user

Precision and Grounding: Ensure your reasoning is extremely precise and relevant to each exact ongoing situation.

6.1) Verify your claims by quoting the exact applicable information (including policies) when referring to them.

Completeness: Ensure that all requirements, constraints, options, and preferences are exhaustively incorporated into your plan.

7.1) Resolve conflicts using the order of importance in #1.

7.2) Avoid premature conclusions: There may be multiple relevant options for a given situation.

7.2.1) To check for whether an option is relevant, reason about all information sources from #5.

7.2.2) You may need to consult the user to even know whether something is applicable. Do not assume it is not applicable without checking.

7.3) Review applicable sources of information from #5 to confirm which are relevant to the current state.

Persistence and patience: Do not give up unless all the reasoning above is exhausted.

8.1) Don’t be dissuaded by time taken or user frustration.

8.2) This persistence must be intelligent: On transient errors (e.g. please try again), you must retry unless an explicit retry limit (e.g., max x tries) has been reached. If such a limit is hit, you must stop. On other errors, you must change your strategy or arguments, not repeat the same failed call.

Inhibit your response: only take an action after all the above reasoning is completed. Once you’ve taken an action, you cannot take it back.

What to test first 

• – Strategy: “Design a 30‑day content plan for [your niche].”
• – Money: “Give me a simple roadmap from [current income] to [target income].”
• – Skills: “Create a 7‑day learning plan for [skill] from zero.”
• – Problems: “Diagnose why my [business / content / habit] is stuck and give options.”

The Truth

Most people think they need a new AI model.
In reality, 80% of “mid” answers come from weak instructions and messy prompts.
Once you fix the system prompt, even free or cheaper models start giving paid‑consultant level output.
You don’t need more tools. You need better instructions for the tools you already have.

Quick Start

• – Step 1: Copy the Gemini 3 system prompt in this post.
• – Step 2: Paste it into your AI’s system/custom instructions.
• – Step 3: Ask ONE important question from your real life or business.
• – Step 4: If the answer is average, tweak the system prompt with your rules (tone, format, examples).
• – Step 5: Lock it in and use this setup for everything: content, strategy, learning, decision‑making.

Bottom Line

Stop treating AI like a search box.
Treat it like your smartest partner that needs clear rules.

This system prompt gave Gemini 3 Pro a measurable boost on real benchmarks — imagine what it can do for your content, decisions, and income.

If this helped you, save this post, share it on your timeline, and tag a friend who still thinks “AI is mid”.

Their problem isn’t the model. It’s the prompt. 

Here’s why this matters 

This isn’t just a “nice prompt I found on the internet”.

This is the actual System Instructions for Gemini 3 Pro that boosted performance on tough, agent‑style benchmarks by around 5% — without changing the model at all.

In simple terms: same brain, better operating system.

Why that’s crazy 

• – The model didn’t get smarter. The INSTRUCTIONS did.
• – A small change in system prompt = a measurable jump in performance.
• – If a 5% gain moves the needle on pro benchmarks, imagine what it can do for your:
• – content
• – business decisions
• – daily problem‑solving

What this means for you

You don’t need access to secret “enterprise‑only” models to get better results.
You just need to copy what the top teams are doing at the instruction level and plug it into ChatGPT, Claude, Grok, Perplexity, or whatever you’re using.
One powerful system prompt can be worth more than trying 10 new AI tools.
So if a few lines of instructions can push a cutting‑edge model higher on real benchmarks…
what do you think it can do for your everyday questions, content, and income?

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