90% faster optimization

AI Prompt Refinement Agent

Better prompts. Better results. Faster.

Stop guessing what works. Delegate prompt optimization to a specialized AI agent. It analyzes your current prompts, tests variations against your requirements, identifies what drives quality, and generates refined versions that consistently deliver superior outputs.

Ideal for

AI Engineering Teams

Product Managers

Operations Teams

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    Brotherhood Mutual logo
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    Paige logo
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    Mercedes-Benz logo
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    Munch Energie Logo
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See AI Prompt Refinement 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
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Prompt Refinement 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
    Mercedes-Benz logo
    Foobar logo
    ABL logo
    Mercedes-Benz logo
    Mercedes-Benz logo
    Brotherhood Mutual logo
    Mercedes-Benz logo
    Paige logo
    Roche logo
    Mercedes-Benz logo
    Sony logo
    Munch Energie Logo
    Certainty Sofrware logo
    Raft logo
    Bayer Logo
    Mercedes-Benz logo
    Mercedes-Benz logo

See AI Prompt Refinement Agent in action

Play video

Prompt Optimization Session

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

See AI Prompt Refinement Agent in action

Play video

Time comparison

Time comparison

Traditional way

8-16 hours per prompt

With V7 Go agents

30-45 minutes

Average time saved

90%

Why V7 Go

Why V7 Go

Automated Performance Testing

Tests your prompts against real test cases and benchmarks, measuring accuracy, consistency, latency, and cost. Provides quantified performance metrics for every variation.

Automated Performance Testing

Tests your prompts against real test cases and benchmarks, measuring accuracy, consistency, latency, and cost. Provides quantified performance metrics for every variation.

Automated Performance Testing

Tests your prompts against real test cases and benchmarks, measuring accuracy, consistency, latency, and cost. Provides quantified performance metrics for every variation.

Automated Performance Testing

Tests your prompts against real test cases and benchmarks, measuring accuracy, consistency, latency, and cost. Provides quantified performance metrics for every variation.

Intelligent Variation Generation

Generates multiple refined versions of your prompts using different strategies: clarity improvements, constraint refinement, example optimization, and structural changes.

Intelligent Variation Generation

Generates multiple refined versions of your prompts using different strategies: clarity improvements, constraint refinement, example optimization, and structural changes.

Intelligent Variation Generation

Generates multiple refined versions of your prompts using different strategies: clarity improvements, constraint refinement, example optimization, and structural changes.

Intelligent Variation Generation

Generates multiple refined versions of your prompts using different strategies: clarity improvements, constraint refinement, example optimization, and structural changes.

Root Cause Analysis

Identifies exactly why prompts underperform. Analyzes failure patterns, missing instructions, ambiguous language, and structural issues that degrade output quality.

Root Cause Analysis

Identifies exactly why prompts underperform. Analyzes failure patterns, missing instructions, ambiguous language, and structural issues that degrade output quality.

Root Cause Analysis

Identifies exactly why prompts underperform. Analyzes failure patterns, missing instructions, ambiguous language, and structural issues that degrade output quality.

Root Cause Analysis

Identifies exactly why prompts underperform. Analyzes failure patterns, missing instructions, ambiguous language, and structural issues that degrade output quality.

Comparative Ranking

Ranks all generated variations by performance across your chosen metrics. Shows which refinements deliver the biggest improvements for your specific use case.

Comparative Ranking

Ranks all generated variations by performance across your chosen metrics. Shows which refinements deliver the biggest improvements for your specific use case.

Comparative Ranking

Ranks all generated variations by performance across your chosen metrics. Shows which refinements deliver the biggest improvements for your specific use case.

Comparative Ranking

Ranks all generated variations by performance across your chosen metrics. Shows which refinements deliver the biggest improvements for your specific use case.

Version Control & Documentation

Maintains a complete history of all prompt versions, test results, and performance changes. Captures the reasoning behind each refinement for team knowledge.

Version Control & Documentation

Maintains a complete history of all prompt versions, test results, and performance changes. Captures the reasoning behind each refinement for team knowledge.

Version Control & Documentation

Maintains a complete history of all prompt versions, test results, and performance changes. Captures the reasoning behind each refinement for team knowledge.

Version Control & Documentation

Maintains a complete history of all prompt versions, test results, and performance changes. Captures the reasoning behind each refinement for team knowledge.

Continuous Improvement Workflows

Enables iterative refinement cycles. Test improved prompts, gather feedback, and automatically generate the next round of optimizations based on real-world performance.

Continuous Improvement Workflows

Enables iterative refinement cycles. Test improved prompts, gather feedback, and automatically generate the next round of optimizations based on real-world performance.

Continuous Improvement Workflows

Enables iterative refinement cycles. Test improved prompts, gather feedback, and automatically generate the next round of optimizations based on real-world performance.

Continuous Improvement Workflows

Enables iterative refinement cycles. Test improved prompts, gather feedback, and automatically generate the next round of optimizations based on real-world performance.

Analyzes and optimizes any prompt

To deliver measurable performance improvements.

Get started

Get started

Logo
Logo
Logo

Import your files

OpenAI

,

GitHub

,

Notion

Import your files from whereever they are currently stored

Built for the teams that handle high-stakes work

Built to scale workflows for teams that need speed and accuracy.

For Teams

For Teams

AI Engineering & ML Teams

AI Engineering & ML Teams

AI Engineering & ML Teams

Reduce the time spent on prompt iteration. Focus on architecture and integration while the agent handles optimization. Build better AI systems faster with data-driven prompt improvements.

Reduce the time spent on prompt iteration. Focus on architecture and integration while the agent handles optimization. Build better AI systems faster with data-driven prompt improvements.

Reduce the time spent on prompt iteration. Focus on architecture and integration while the agent handles optimization. Build better AI systems faster with data-driven prompt improvements.

Product & Operations Teams

Product & Operations Teams

Product & Operations Teams

Improve AI feature quality without deep technical expertise. Get systematic recommendations for prompt improvements backed by performance data and clear reasoning.

Improve AI feature quality without deep technical expertise. Get systematic recommendations for prompt improvements backed by performance data and clear reasoning.

Improve AI feature quality without deep technical expertise. Get systematic recommendations for prompt improvements backed by performance data and clear reasoning.

Customer voices

Customer voices

Optimize prompts systematically.

Optimize prompts systematically.

Scale AI quality across your organization.

Scale AI quality across your organization.

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Finance

Legal

Insurance

Tax

Real Estate

Customer Voices

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Industrial equipment sales

We are looking for V7 Go and AI in general to be the beating heart of our company and our growth. It will make us more productive as a company, liaising with customers, automating tasks, even finding new work.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Insurance

We have six assessors. Before V7 Go, each would process around 15 claims a day, about 90 in total. With V7 Go, we’re expecting that to rise to around 20 claims per assessor, which adds up to an extra 30 claims a day. That’s the equivalent of two additional full-time assessors. Beyond the cost savings, there’s real reputational gains from fewer errors and faster turnaround times.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Real Estate

Prior to V7, people using the software were manually inputting data. Now it’s so much faster because it just reads it for them. On average, it saves our customers 45 minutes to an hour of work, and it’s more accurate.

Read the full story

Features

Features

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

Results you can trust.
Trustworthy AI document processing toolkit.

Works with any prompt type.

Any LLM. Any use case.

Whether you're optimizing extraction prompts, generation templates, classification rules, or reasoning chains, this agent adapts to your specific needs. It works across all major language models and custom implementations.

Input types

Multi-model Support

Custom Metrics

Any Prompt Type

Batch Processing

Document types

Text Files

JSON

Spreadsheets

Structured Data

API Responses

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Works with any prompt type.

Any LLM. Any use case.

Whether you're optimizing extraction prompts, generation templates, classification rules, or reasoning chains, this agent adapts to your specific needs. It works across all major language models and custom implementations.

Input types

Multi-model Support

Custom Metrics

Any Prompt Type

Batch Processing

Document types

Text Files

JSON

Spreadsheets

Structured Data

API Responses

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Works with any prompt type.

Any LLM. Any use case.

Whether you're optimizing extraction prompts, generation templates, classification rules, or reasoning chains, this agent adapts to your specific needs. It works across all major language models and custom implementations.

Input types

Multi-model Support

Custom Metrics

Any Prompt Type

Batch Processing

Document types

Text Files

JSON

Spreadsheets

Structured Data

API Responses

Vendor_US.xlsx

3

Supply_2023.pptx

Review_Legal.pdf

Measurable improvements

backed by real data.

Every refinement is tested against your actual test cases and benchmarks. You see quantified improvements in accuracy, consistency, speed, and cost. No guessing. No subjective assessments. Just data.

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)

Measurable improvements

backed by real data.

Every refinement is tested against your actual test cases and benchmarks. You see quantified improvements in accuracy, consistency, speed, and cost. No guessing. No subjective assessments. Just data.

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)

Measurable improvements

backed by real data.

Every refinement is tested against your actual test cases and benchmarks. You see quantified improvements in accuracy, consistency, speed, and cost. No guessing. No subjective assessments. Just data.

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)

Reproducible results,

every time.

The agent maintains complete version history and test records. Every refinement is documented with its performance metrics and reasoning. Reproduce results, compare versions, and confidently deploy improvements to production.

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

Reproducible results,

every time.

The agent maintains complete version history and test records. Every refinement is documented with its performance metrics and reasoning. Reproduce results, compare versions, and confidently deploy improvements to production.

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

Reproducible results,

every time.

The agent maintains complete version history and test records. Every refinement is documented with its performance metrics and reasoning. Reproduce results, compare versions, and confidently deploy improvements to production.

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

Your prompts stay yours.

Enterprise-grade confidentiality.

Your proprietary prompts and test cases are processed in your secure environment. V7 Go never uses your prompts for external training or model improvement. Your intellectual property remains completely confidential.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Your prompts stay yours.

Enterprise-grade confidentiality.

Your proprietary prompts and test cases are processed in your secure environment. V7 Go never uses your prompts for external training or model improvement. Your intellectual property remains completely confidential.

Certifications

GDPR

SOC2

HIPAA

ISO

Safety

Custom storage

Data governance

Access-level permissions

Your prompts stay yours.

Enterprise-grade confidentiality.

Your proprietary prompts and test cases are processed in your secure environment. V7 Go never uses your prompts for external training or model improvement. Your intellectual property remains completely confidential.

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 Refinement Agent

How does the agent know what 'better' means for my prompts?

You define success metrics upfront: accuracy against expected outputs, consistency across similar inputs, response time, token efficiency, or custom criteria. The agent tests all variations against these metrics and ranks them accordingly.

+

How does the agent know what 'better' means for my prompts?

You define success metrics upfront: accuracy against expected outputs, consistency across similar inputs, response time, token efficiency, or custom criteria. The agent tests all variations against these metrics and ranks them accordingly.

+

How does the agent know what 'better' means for my prompts?

You define success metrics upfront: accuracy against expected outputs, consistency across similar inputs, response time, token efficiency, or custom criteria. The agent tests all variations against these metrics and ranks them accordingly.

+

Can it work with prompts for any LLM?

Yes. The agent is model-agnostic. It optimizes prompts for Claude, GPT, Gemini, or any other language model. It understands model-specific capabilities and constraints to generate appropriate refinements.

+

Can it work with prompts for any LLM?

Yes. The agent is model-agnostic. It optimizes prompts for Claude, GPT, Gemini, or any other language model. It understands model-specific capabilities and constraints to generate appropriate refinements.

+

Can it work with prompts for any LLM?

Yes. The agent is model-agnostic. It optimizes prompts for Claude, GPT, Gemini, or any other language model. It understands model-specific capabilities and constraints to generate appropriate refinements.

+

What if I don't have test cases yet?

The agent can help you build them. Provide sample inputs and expected outputs, and it will create a structured test suite. It then uses this to evaluate and refine your prompts systematically.

+

What if I don't have test cases yet?

The agent can help you build them. Provide sample inputs and expected outputs, and it will create a structured test suite. It then uses this to evaluate and refine your prompts systematically.

+

What if I don't have test cases yet?

The agent can help you build them. Provide sample inputs and expected outputs, and it will create a structured test suite. It then uses this to evaluate and refine your prompts systematically.

+

How many variations does it generate?

You control the scope. The agent can generate 3-5 focused variations targeting specific improvements, or 10+ comprehensive variations exploring different optimization strategies. More variations provide broader exploration but require more testing.

+

How many variations does it generate?

You control the scope. The agent can generate 3-5 focused variations targeting specific improvements, or 10+ comprehensive variations exploring different optimization strategies. More variations provide broader exploration but require more testing.

+

How many variations does it generate?

You control the scope. The agent can generate 3-5 focused variations targeting specific improvements, or 10+ comprehensive variations exploring different optimization strategies. More variations provide broader exploration but require more testing.

+

Can it integrate with my existing prompt management system?

Yes. The agent exports refined prompts in standard formats and integrates with version control systems, prompt management platforms, and your internal Knowledge Hub for easy adoption.

+

Can it integrate with my existing prompt management system?

Yes. The agent exports refined prompts in standard formats and integrates with version control systems, prompt management platforms, and your internal Knowledge Hub for easy adoption.

+

Can it integrate with my existing prompt management system?

Yes. The agent exports refined prompts in standard formats and integrates with version control systems, prompt management platforms, and your internal Knowledge Hub for easy adoption.

+

How do I know the improvements will work in production?

The agent provides detailed performance reports showing how each refined prompt performs against your test cases. You can stage improvements, monitor real-world performance, and roll back if needed.

+

How do I know the improvements will work in production?

The agent provides detailed performance reports showing how each refined prompt performs against your test cases. You can stage improvements, monitor real-world performance, and roll back if needed.

+

How do I know the improvements will work in production?

The agent provides detailed performance reports showing how each refined prompt performs against your test cases. You can stage improvements, monitor real-world performance, and roll back if needed.

+

Next steps

Next steps

Spending too much time tweaking prompts?

Send us your current prompts and test cases. We'll show you how much better they can perform with systematic optimization.

Uncover hidden liabilities

in

supplier contracts.

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

Uncover hidden liabilities

in

supplier contracts.

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