80% fewer iterations

AI Prompt Optimization Agent

Better prompts, better results

Stop wasting time manually refining prompts. Upload your current prompt, provide examples of desired outputs, and let the agent analyze performance gaps, identify structural weaknesses, and generate optimized versions that deliver measurably better results.

Ideal for

AI Operations Teams

Product Engineering

AI Development

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Prompt Optimization Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Prompt Optimization Agent in action

Play video

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Prompt Optimization Agent in action

Play video

Contract Review Prompt Optimization

  • Mercedes-Benz logo
    SMC  logo
    Mercedes-Benz logo
    Centerline logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Alaris logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Prompt Optimization Agent in action

Play video

Time comparison

Time comparison

Traditional way

2-3 weeks

With V7 Go agents

2-4 hours

Average time saved

90%

Why V7 Go

Why V7 Go

Automated Performance Analysis

Evaluates your current prompt against sample outputs to identify accuracy gaps, inconsistencies, and failure patterns without manual testing.

Automated Performance Analysis

Evaluates your current prompt against sample outputs to identify accuracy gaps, inconsistencies, and failure patterns without manual testing.

Automated Performance Analysis

Evaluates your current prompt against sample outputs to identify accuracy gaps, inconsistencies, and failure patterns without manual testing.

Automated Performance Analysis

Evaluates your current prompt against sample outputs to identify accuracy gaps, inconsistencies, and failure patterns without manual testing.

Structural Weakness Detection

Flags missing context, ambiguous instructions, unclear output specifications, and logical gaps that cause agent errors or inconsistent behavior.

Structural Weakness Detection

Flags missing context, ambiguous instructions, unclear output specifications, and logical gaps that cause agent errors or inconsistent behavior.

Structural Weakness Detection

Flags missing context, ambiguous instructions, unclear output specifications, and logical gaps that cause agent errors or inconsistent behavior.

Structural Weakness Detection

Flags missing context, ambiguous instructions, unclear output specifications, and logical gaps that cause agent errors or inconsistent behavior.

Multi-Version Generation

Generates multiple optimized prompt variants with different approaches, allowing you to test and select the version that performs best for your use case.

Multi-Version Generation

Generates multiple optimized prompt variants with different approaches, allowing you to test and select the version that performs best for your use case.

Multi-Version Generation

Generates multiple optimized prompt variants with different approaches, allowing you to test and select the version that performs best for your use case.

Multi-Version Generation

Generates multiple optimized prompt variants with different approaches, allowing you to test and select the version that performs best for your use case.

Iterative Refinement Guidance

Provides specific, actionable recommendations for further optimization, including suggested rewording, additional context to include, and structural improvements.

Iterative Refinement Guidance

Provides specific, actionable recommendations for further optimization, including suggested rewording, additional context to include, and structural improvements.

Iterative Refinement Guidance

Provides specific, actionable recommendations for further optimization, including suggested rewording, additional context to include, and structural improvements.

Iterative Refinement Guidance

Provides specific, actionable recommendations for further optimization, including suggested rewording, additional context to include, and structural improvements.

Consistency Validation

Ensures optimized prompts produce consistent outputs across different input variations, reducing variance and improving reliability in production.

Consistency Validation

Ensures optimized prompts produce consistent outputs across different input variations, reducing variance and improving reliability in production.

Consistency Validation

Ensures optimized prompts produce consistent outputs across different input variations, reducing variance and improving reliability in production.

Consistency Validation

Ensures optimized prompts produce consistent outputs across different input variations, reducing variance and improving reliability in production.

Faster Time-to-Production

Compress weeks of manual prompt iteration into hours, enabling faster agent deployment and quicker time-to-value for your AI initiatives.

Faster Time-to-Production

Compress weeks of manual prompt iteration into hours, enabling faster agent deployment and quicker time-to-value for your AI initiatives.

Faster Time-to-Production

Compress weeks of manual prompt iteration into hours, enabling faster agent deployment and quicker time-to-value for your AI initiatives.

Faster Time-to-Production

Compress weeks of manual prompt iteration into hours, enabling faster agent deployment and quicker time-to-value for your AI initiatives.

Analyzes and optimizes any prompt

To deliver measurably better agent performance.

Get started

Get started

Import your files

OpenAI

,

GitHub

,

Notion

Import your files from whereever they are currently stored

Customer voices

Customer voices

Optimize your AI agents systematically.

Optimize your AI agents systematically.

Deploy better-performing agents in less time.

Deploy better-performing agents in less time.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Features

Features

Results you can actually trust.
Reliable AI document processing toolkit.

Results you can trust.
Trustworthy AI document processing toolkit.

Supporting any prompt type.

From simple to complex.

Whether your prompt is a single instruction or a multi-step reasoning framework, the agent handles it. It works with prompts for any domain, any task type, and any complexity level.

Input types

Any Domain

Any Task Type

Any Complexity

Multi-Step Workflows

Document types

Text Files

JSON

Structured Data

Code Snippets

Configuration Files

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting any prompt type.

From simple to complex.

Whether your prompt is a single instruction or a multi-step reasoning framework, the agent handles it. It works with prompts for any domain, any task type, and any complexity level.

Input types

Any Domain

Any Task Type

Any Complexity

Multi-Step Workflows

Document types

Text Files

JSON

Structured Data

Code Snippets

Configuration Files

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Supporting any prompt type.

From simple to complex.

Whether your prompt is a single instruction or a multi-step reasoning framework, the agent handles it. It works with prompts for any domain, any task type, and any complexity level.

Input types

Any Domain

Any Task Type

Any Complexity

Multi-Step Workflows

Document types

Text Files

JSON

Structured Data

Code Snippets

Configuration Files

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Identify real performance gaps

not just surface issues.

The agent goes beyond simple syntax checking. It analyzes actual output quality, identifies root causes of failures, and recommends structural changes that address underlying issues rather than symptoms.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Identify real performance gaps

not just surface issues.

The agent goes beyond simple syntax checking. It analyzes actual output quality, identifies root causes of failures, and recommends structural changes that address underlying issues rather than symptoms.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Identify real performance gaps

not just surface issues.

The agent goes beyond simple syntax checking. It analyzes actual output quality, identifies root causes of failures, and recommends structural changes that address underlying issues rather than symptoms.

Model providers

Security note

V7 never trains models on your private data. We keep your data encrypted and allow you to deploy your own models.

Answer

Type

Text

Tool

o4 Mini

Reasoning effort

Min

Low

Mid

High

AI Citations

Inputs

Set a prompt (Press @ to mention an input)

Optimized prompts you can trust

backed by analysis.

Every optimization recommendation is grounded in analysis of your actual outputs. The agent shows you exactly what it found, why it matters, and how the optimized version addresses it.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Optimized prompts you can trust

backed by analysis.

Every optimization recommendation is grounded in analysis of your actual outputs. The agent shows you exactly what it found, why it matters, and how the optimized version addresses it.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Optimized prompts you can trust

backed by analysis.

Every optimization recommendation is grounded in analysis of your actual outputs. The agent shows you exactly what it found, why it matters, and how the optimized version addresses it.

Visual grounding in action

00:54

Deliberate Misrepresentation: During the trial, evidence was presented showing that John Doe deliberately misrepresented his income on multiple occasions over several years. This included falsifying documents, underreporting income, and inflating deductions to lower his tax liability. Such deliberate deception demonstrates intent to evade taxes.

Pattern of Behavior: The prosecution demonstrated a consistent pattern of behavior by John Doe, spanning several years, wherein he consistently failed to report substantial portions of his income. This pattern suggested a systematic attempt to evade taxes rather than mere oversight or misunderstanding.

Concealment of Assets: Forensic accounting revealed that John Doe had taken significant steps to conceal his assets offshore, including setting up shell companies and using complex financial structures to hide income from tax authorities. Such elaborate schemes indicate a deliberate effort to evade taxes and avoid detection.

Failure to Cooperate: Throughout the investigation and trial, John Doe displayed a lack of cooperation with tax authorities. He refused to provide requested documentation, obstructed the audit process, and failed to disclose relevant financial information. This obstructionism further supported the prosecution's argument of intentional tax evasion.

Prior Warning and Ignoring Compliance

02

01

01

02

Enterprise grade security

for proprietary prompts.

Your prompts are proprietary intellectual property. V7 Go processes them within your secure environment, ensuring confidentiality and compliance with data privacy standards. Your prompts are never used for external model training.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for proprietary prompts.

Your prompts are proprietary intellectual property. V7 Go processes them within your secure environment, ensuring confidentiality and compliance with data privacy standards. Your prompts are never used for external model training.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Enterprise grade security

for proprietary prompts.

Your prompts are proprietary intellectual property. V7 Go processes them within your secure environment, ensuring confidentiality and compliance with data privacy standards. Your prompts are never used for external model training.

Certifications

GPDR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

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Answers

Answers

What you need to know about our

AI Prompt Optimization Agent

How does the agent evaluate prompt quality?

The agent analyzes your prompt against provided sample outputs to identify discrepancies between intended behavior and actual results. It evaluates clarity, completeness, logical flow, and alignment with your specified output format.

+

How does the agent evaluate prompt quality?

The agent analyzes your prompt against provided sample outputs to identify discrepancies between intended behavior and actual results. It evaluates clarity, completeness, logical flow, and alignment with your specified output format.

+

How does the agent evaluate prompt quality?

The agent analyzes your prompt against provided sample outputs to identify discrepancies between intended behavior and actual results. It evaluates clarity, completeness, logical flow, and alignment with your specified output format.

+

Can it optimize prompts for any type of agent?

Yes. The agent is designed to optimize prompts for any task type—document analysis, content generation, data extraction, workflow automation, or custom reasoning tasks. It adapts its analysis to your specific use case.

+

Can it optimize prompts for any type of agent?

Yes. The agent is designed to optimize prompts for any task type—document analysis, content generation, data extraction, workflow automation, or custom reasoning tasks. It adapts its analysis to your specific use case.

+

Can it optimize prompts for any type of agent?

Yes. The agent is designed to optimize prompts for any task type—document analysis, content generation, data extraction, workflow automation, or custom reasoning tasks. It adapts its analysis to your specific use case.

+

What if my current prompt is already performing well?

The agent still identifies incremental improvements and edge cases your current prompt may not handle. Even high-performing prompts often have room for optimization in consistency, speed, or handling of unusual inputs.

+

What if my current prompt is already performing well?

The agent still identifies incremental improvements and edge cases your current prompt may not handle. Even high-performing prompts often have room for optimization in consistency, speed, or handling of unusual inputs.

+

What if my current prompt is already performing well?

The agent still identifies incremental improvements and edge cases your current prompt may not handle. Even high-performing prompts often have room for optimization in consistency, speed, or handling of unusual inputs.

+

How do I know which optimized version to use?

The agent provides detailed comparison notes for each variant, highlighting the approach differences and expected performance characteristics. We recommend testing multiple versions against your validation dataset to measure actual improvement.

+

How do I know which optimized version to use?

The agent provides detailed comparison notes for each variant, highlighting the approach differences and expected performance characteristics. We recommend testing multiple versions against your validation dataset to measure actual improvement.

+

How do I know which optimized version to use?

The agent provides detailed comparison notes for each variant, highlighting the approach differences and expected performance characteristics. We recommend testing multiple versions against your validation dataset to measure actual improvement.

+

Can it work with proprietary or domain-specific prompts?

Absolutely. The agent is designed to work with specialized prompts for legal, financial, technical, or any other domain. It understands domain-specific terminology and requirements.

+

Can it work with proprietary or domain-specific prompts?

Absolutely. The agent is designed to work with specialized prompts for legal, financial, technical, or any other domain. It understands domain-specific terminology and requirements.

+

Can it work with proprietary or domain-specific prompts?

Absolutely. The agent is designed to work with specialized prompts for legal, financial, technical, or any other domain. It understands domain-specific terminology and requirements.

+

What format should I provide sample outputs in?

Provide sample outputs in any structured format—JSON, CSV, plain text, or formatted documents. Include both successful examples and failure cases to give the agent a complete picture of current performance.

+

What format should I provide sample outputs in?

Provide sample outputs in any structured format—JSON, CSV, plain text, or formatted documents. Include both successful examples and failure cases to give the agent a complete picture of current performance.

+

What format should I provide sample outputs in?

Provide sample outputs in any structured format—JSON, CSV, plain text, or formatted documents. Include both successful examples and failure cases to give the agent a complete picture of current performance.

+

Next steps

Next steps

Tired of guessing what's wrong with your prompts?

Send us your current prompt and sample outputs. We'll show you exactly what's holding your agent back and how to fix it.

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo

Uncover hidden liabilities

in

supplier contracts.

V7 Go transforms documents into strategic assets. 150+ enterprises are already on board:

  • Mercedes-Benz logo
    SMC  logo
    Centerline logo
    Alaris logo