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

See AI Prompt Optimization Agent in action
Play video

See AI Prompt Optimization Agent in action
Play video

See AI Prompt Optimization Agent in action
Play video

Contract Review Prompt Optimization
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
All types of Business documents supported
Once imported our system extracts and organises the essentials
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
Industrial equipment sales
Read the full story
Industrial equipment sales
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
Industrial equipment sales
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
Finance
“Whenever I think about hiring, I first try to do it in V7 Go.” Discover how HITICCO uses V7 Go agents to accelerate and enrich their prospect research.
Read the full story
Finance
The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.
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.
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:
Uncover hidden liabilities
in
supplier contracts.
V7 Go transforms documents into strategic assets. 150+ enterprises are already on board: