ChatGPT and other AI models have become an integral part of my daily workflows. OpenAI also continues to release new features and capabilities that continue to make ChatGPT and allies useful. However, as I continued experimenting with prompts, I observed how it was becoming difficult to save and organize successful prompts.
I tried using ChatGPT for prompt management, but its limitations do not allow you to use its built-in features beyond certain usage. Hence, I started exploring third-party prompt management tools [which I later explored and made one on my own]. If you’re someone who is looking for prompt manager tools, this list is for you.
Key takeaways:
- 5 prompt management use cases
- 15 prompt management tools
- Best practices for adopting prompt managers in your daily workflows
An overview of prompt management concept
Let us get the basics of prompt management cleared before we dive into choosing tools for it.
What is prompt management?
Prompt management is building a system for saving, organizing, and retrieving prompts as required when working with AI models. Adopting good prompt management practices helps track various versions of your prompts so that you can continue optimizing them for improvement and usage.
Think of it as a library catalog system but for prompts. Just as an organized library facilitates efficient access to books, effective prompt management ensures that your AI models, like ChatGPT and LLMs, deliver optimal outputs consistently.
3 types of prompt management tools to choose from –
Prompt manager tools are a broad category where you will find prompting templates, prompt generators, prompt directories, etc in the market to choose from. Hence, it is better to outline your main use case for adopting prompt management techniques, check these prompt manager tool categories:
1. Manual prompt managers
Manual prompt managers are like note-taking or project management apps to save and organize prompts. It is manual because it relies on your manual input to save, categorize, and retrieve prompts based on criteria and requirements.
Key features of manual prompt managers:
- An interface to update prompts: helps you to enter and modify prompts manually.
- Basic storage: provides storage capabilities such as text-based databases or spreadsheets.
- Categorization & tagging: Allows to categorize prompts using tags, keywords, or custom labels.
- Automation features: offers automation capabilities via integration feature or connection with third-party apps like Zapier or Whalesync.
Manual prompt manager use cases for prompt management:
- Individuals or small teams with limited prompt management requirements.
- Initial stages of prompt engineering projects.
- Basic experimentation and exploration of AI prompt strategies.
2. Prompt generators
Prompt Generators leverage algorithms and predefined criteria to suggest, modify, or optimize prompts automatically. These tools use AI and machine learning algorithms to analyze prompts’ data, trends, and performance metrics. This helps enhance prompt effectiveness and efficiency.
Key features of prompt generators:
- Algorithmic Optimization: Utilizes advanced algorithms to suggest, modify, or optimize prompts based on predefined criteria.
- Performance Analysis: Analyzes historical data, user interactions, and performance metrics to refine prompt strategies.
- Dynamic Adjustment: Enables real-time adjustments and modifications to prompts based on emerging trends or user feedback.
- Integrated Analytics: Incorporates analytics and reporting functionalities to monitor and evaluate prompt performance.
Prompt Generators use cases for prompt management:
- Medium to large-scale prompt engineering projects.
- Organizations seeking to harness data-driven insights and algorithms for prompt optimization.
- Professionals aiming to automate and streamline prompt management processes.
3. Integrated AI platforms
Integrated AI Platforms offer comprehensive functionalities, integrations, and capabilities tailored to sophisticated AI development requirements. These platforms combine prompt management with seamless integration capabilities with AI models via APIs. These enable you to integrate, optimize, and manage prompts across various AI models, platforms, and applications.
For example, it will help you scale advanced prompt optimization techniques like Tree of Thoughts Prompting to improve model output.
Key features of Integrated AI platforms:
- Integration features: seamlessly integrates with multiple AI models, platforms, and applications.
- Advanced analytics & reporting: provides comprehensive analytics, insights, and reporting functionalities tailored to prompt performance evaluation.
- Customization & Flexibility: offers customizable options to adapt to evolving prompt engineering trends and requirements. Allows the exporting of data to other tools to enhance functionalities.
- Scalability & performance: Ensures scalability, performance, and reliability to handle large volumes of prompts, data, and user interactions.
Integrated AI platform use cases for prompt management:
- Enterprise-level organizations with complex prompt engineering requirements to create or train AI models.
- Professionals or consultants seeking an integrated solution for AI development and optimization.
- Organizations aiming to leverage advanced AI technologies, integrations, and capabilities for prompt management.
What makes a good prompt management tool?
A good prompt manager tool helps you retrieve prompts when you need them the most in the shortest time. It will help you streamline saving prompts, organize them, and optimize performance without wasting time on manual tasks associated with them. Let’s explore the key components that define a good prompt manager tool:
1. Usability & adaptability
- Intuitive interface: A good prompt manager tool offers an intuitive interface with simple navigation, accessibility features, and easy interaction. It should provide straightforward workflows that require minimal learning.
- Customization options: check for customizable settings, preferences, and configurations that you can adapt to your preferences, requirements, and workflows.
- Integration options: should offer seamless integration capabilities with existing systems, platforms, AI models, and applications ensuring compatibility, sync, and interoperability.
- Team collaboration: helps collaborate via prompt sharing, communicate changes, and share knowledge among team members or contributors via documentation.
- Workflow automation: check if your prompt manager tool can implement workflow automation to streamline prompt management tasks effectively.
2. Prompt organization via categorization
- Structured repository: a good prompt manager tool should offer a structured repository system. It should allow you to categorize, tag, and organize AI prompts based on relevance, context, application, performance metrics, or any custom category.
- Search and retrieval: this is an important feature – every prompt manager tool should facilitate efficient search and retrieval of prompts. It should enable you to quickly locate, access, and use relevant prompts for specific applications, projects, or objectives.
- Version control: your tool must incorporate version control features to track updates and manage iterations of prompts. It should ensure consistency, traceability, and accountability.
3. Optimization & customization
- Algorithmic assistance: the tool should provide algorithmic assistance and recommendations to optimize AI prompts based on performance metrics, trends, patterns, and user feedback.
- A/B testing: check for A/B testing, experimentation, and iteration features to evaluate, compare, and refine different prompt variations and strategies effectively.
4. Analytics & performance metrics
- Performance monitoring: should incorporate performance monitoring, tracking, and reporting functionalities to evaluate AI prompts’ effectiveness and relevance of generated output.
- User feedback analysis: should facilitate analysis of user feedback, interactions, responses, and behaviors related to AI prompts for continuous improvement.
- Predictive analytics: check for predictive analytics features to forecast AI prompts’ performance, trends, patterns, and outcomes. This can help with proactive adjustments, strategies, and enhancements.
5. Security, Compliance & Privacy
- Data protection: Ensures robust data protection, encryption, security measures, and protocols to safeguard AI prompts, sensitive information, privacy, and confidentiality.
- Compliance standards: check if the tool adheres to required industry standards, regulations, guidelines, and compliance specific to AI prompt management. Even today, AI is unregulated and it is of utmost importance to follow legal, ethical, and responsible practices to avoid any trouble.
- Access controls: check for secure access controls, permissions, roles, and authentication mechanisms tailored to prompt management workflows, data, and tasks.
- Scalability: your prompt manager tool should be scalable such that it can accommodate growing volumes of prompts, data, users, and interactions effectively.
- Reliability & Stability: Ensures reliable, stable, consistent performance, minimizing downtime, disruptions, errors, and inefficiencies.
6. Support & resources
- Training & documentation: while the software should be intuitive, it should still have comprehensive training resources, documentation, tutorials, guides, and other support materials to facilitate user onboarding, training, and proficiency development.
- Customer support: responsive, knowledgeable, and accessible customer support must be available to address inquiries, solve challenges, and consider feedback.
- Community: the tool’s management should foster a supportive, collaborative, and engaged user community to enable knowledge sharing, networking, collaboration, and innovation among users.
Best prompt manager tools for organizing prompts and accessing prompt templates
Humanloop – best for prompt engineering teams
Type: Enterprise software for teams
Website: Humanloop
AI Tools Directory Listing: Humanloop on Applied AI
Humanloop is a collaboration and evaluation platform designed for Large Language Model (LLM) applications. It streamlines the process of developing AI features by providing a seamless workspace for product managers, engineers, and domain experts to work together.
Humanloop Pricing:
- Free Plan: Offers basic features for up to two users and a limited number of prompts with 1000 logs per month. You can access community support.
- Paid Plan: You need to speak with sales team to get enterprise paid plan pricing. It provides collaborative features like access controls, priority support, advanced data security, and more.
Humanloop Features:
- Collaborative Workspace: Humanloop offers a shared environment where teams can manage and measure prompts for LLMs, ensuring efficient collaboration and reducing the risk of errors.
- Backtesting and Updates: The tool enables users to backtest changes and confidently update models, ensuring that the latest versions meet the required standards.
- Quantitative Experiments: Humanloop facilitates the capture of feedback and running of quantitative experiments to optimize model performance and improve overall results.
Humanloop Pros:
- Chrome plugin makes it easy to work alongside the ChatGPT window interface.
- Hotkeys feature for instant prompt access
- The platform’s evaluation and monitoring capabilities help ensure that models are optimized for performance and meet the required standards.
Humanloop Cons:
- The platform may require some time to learn and master, especially for users without prior experience with LLM development. Also, this AI tool is only for enterprises and hence is priced accordingly.
AIPRM – best for accessing a vast prompt library
Type: Web platform with Chrome extension plugin
Price: There is no basic plan. Paid plans start at USD 10 per month
Website: AIPRM
AI Tools Directory Listing: AIPRM on Applied AI
AIPRM is a comprehensive tool that helps manage prompts, create prompts using AI, and access ready-to-use prompt templates. It caters to multiple industries across accounting, home services, real estate, etc. It also provides you access to a prompt community to learn and share best practices for prompt writing.
AIPRM Pricing:
- Free Plan: you get access to the basic prompt library and core feature
- Paid Plans: AIPRM offers paid plans for both individuals who seek to get more productive with ChatGPT and teams who want to collaborate within ChatGPT. Explore them here – AIPRM for solo and teams.
AIPRM Features:
- Advanced Prompt Customization: Utilize prompt variables and other advanced features to tailor the output to your specific needs.
- Community-Generated Prompt Library: Access a vast repository of prompts across various categories, reviewed and approved by the AIPRM community.
- Custom Prompt Management: Create and save your own private prompts for personal or team use, ensuring consistency in messaging and communication.
AIPRM Pros:
- Helps create public or private prompt lists and organize them
- Multiple editable prompt templates and custom GPTs across industries
AIPRM Cons:
- The platform seems to be making a pivot to becoming an AI writing platform – so please keep track of its product roadmap.
- Reliance on pre-written prompts may limit the flexibility for certain use cases
PromptFolder
Type: Web platform with Chrome extension plugin
Free plan features:
- Limited prompt storage capacity
- Basic privacy settings
- Limited features for MidJourney optimization
Price: Paid plan offers more storage and prompt optimization options at USD 8 per month.
Website: PromptFolder
PromptFolder is a dedicated tool with a simple user interface to help save and organize prompts in folders. It also includes a Chrome extension that helps you work with your AI models like ChatGPT or Midjourney on the go.
Pros:
- It helps create public or private prompt categories and control access to it.
- Browse through trending prompts available publicly for your use.
- It is directly integrated with ChatGPT for quick saving and retrieval.
Cons:
- Features are limited to prompt saving and organization features are not comprehensive.
Prompt Box
Type: Web and desktop platform with Chrome extension plugin
Price: Free
Website: Prompt Box
Prompt Box is a prompt organizing and sharing tool that will help you save and retrieve prompts quickly. Features like ‘/Shortcuts’, the ability to sell prompt folders, or sharing links make it easy to collaborate and monetize your prompt engineering skills. It also helps you save prompts as you browse online using its Chrome extension plugin.
Pros:
- Organize, save prompts from the web, and sell prompt collections
- Drag and drop prompt organizer
Cons:
- No prompt library to access prompts made by others shared publicly
Prompt Knit
Type: Web platform
Free plan features:
- Maximum 2 projects
- 3 prompts per project limit
- 3-day prompt history
- Features include access to basic models and compare prompt history
Paid plan price: The starting paid plan provides 30 prompts per project at USD 10 per month.
Website: Prompt Knit
PromptKnit is a dedicated tool for managing prompts via folders and tags. It provides 3 key prompt editors with API parameter customization across images, conversation, and text for prompt optimization.
Pros:
- Can export code instantly.
- Includes version control features
- Provides sensitive data encryption using AES-256-GCM and RSA-OAEP in both storage and transmission.
Cons:
- Limited prompt storage and organization features.
- The platform is still in beta mode.
Best prompt manager tools for prompt generation, optimization, and debugging
Here are some good and promising tools that are working to help you optimize prompts and implement prompt writing strategies.
PromptBetter
Type: Web platform
Price: Free
Website: PromptBetter
PromptBetter is a developer tool to optimize prompts and get insights on your prompt writing strategies. It tracks your prompt versions and helps A/B test them with comprehensive logs. It also helps receive user feedback on the generated output.
Pros:
- Live feedback mechanism: PromptBetter provides a conversion URL with each response generated and helps log when users take any action with the output.
- User-friendly UI: PromptBetter claims to provide a non-developer-friendly UI for prompt management and optimization.
- A/B test prompts: helps compare prompt effectiveness with your users and generate analysis reports.
Cons:
- There is no clarity on pricing plans as they provide free early access and have yet to release their product. They have mentioned usage-based pricing in their FAQs.
Prompt Refine
Type: Web platform
Price: The paid plan starts at USD 39 per month which includes 100,000 tokens and access to multiple AI models like OpenAI, Meta, Google, Anthropic, etc. They also provide a team plan.
Website: Prompt Refine
Prompt Refine is a dedicated tool to help with prompt optimization. It helps individuals and teams to access multiple AI models and test prompting with them using a single platform.
Pros:
- Simple and distraction-free user interface focused on prompt optimization
- Doesn’t train on your data unlike AI models like ChatGPT
- Quick switching between models while experimenting
Cons:
- Very few features to organize and manage prompts
- No prompt library access
Template Prompts
Type: Web platform
Price: They provide a 14-day free trial, after which it is USD 3.99 per month
Website: Template Prompts
Template Prompts help you templatize your written prompts and make them accessible as required. It provides features to organize prompts and make it faster to write them by simply changing values.
Pros:
- Private prompts accessible only to you
- UI helps create reusable prompt templates
Cons:
- The features to retrieve and organize prompts are basic
- No access to the prompt marketplace
Prompt Storm
Type: Chrome Extension
Price: Free
Website: Prompt Storm
Prompt Storm is a handy Chrome extension-based prompt generator that helps you access effective prompt templates curated by the makers of this tool. You can use these optimized prompt templates across ChatGPT, Anthropic’s Claude, or Google Bard. It uses best practices of prompt engineering to write the prompts for you that are designed to give results.
Pros:
- Access to professionally written prompts in usable templates
- Quick access helps save time
Cons:
- No access to prompts to edit them as required
Palaxy
Type: Web platform and AI assistant
Free plan features:
- Provides 20 free credits to explore the tool
Price: At USD 25 per month you get unlimited prompt optimizations and customer support on Discord
Website: Palaxy
Palaxy uses AI to help you improve your written prompts for many AI models like ChatGPT, MidJourney, Stable Diffusion, etc. It also provides custom options that you can tweak to align the optimization process and output as per your needs.
Pros:
- Provides both pay-per-use and unlimited subscription plan
- Intuitive user interface and simple features
Cons:
- May not be suitable for professional prompt engineers
Best integrated AI prompt management platforms for teams and organizations
PromptLeo
Type: Web platform
Free plan features:
- 1 workspace with 5 prompt templates
- 15k chat tokens per month
Price: The paid plan starts at USD 100 per month which includes more workspaces, users, templates, and additional chat pages
Website: PromptLeo
PromptLeo is a playground for writing, testing, and optimizing prompts. It enables your organization with enterprise features and intuitive UI to help scale your adoption of AI models like ChatGPT or Midjourney. Your teams can also collaboratively review logs and analytics on prompt performance.
Pros:
- Create folders, versions, and templates to organize prompts
- Workspace interface to help collaborate with teams on writing and optimizing prompts. Also provides access control features.
- Comprehensive prompt collection
Cons:
- NA
Prompt Engineer
Type: Web platform
Free plan features:
- 3 prompts per month
- updated and recent history up to 10 records per prompt
Price: The paid plan starts at USD 7.9 per month billed annually for unlimited prompts and history records.
Website: Prompt Engineer
Prompt Engineer offers an alternative to OpenAI Playground by providing you with additional tools to analyze and manage optimized prompts. It helps customize various parameters like temperature, helps with version controls, and tracks history. You can also conduct batch testing to scale your prompt engineering initiatives.
Pros:
- Provides a browser-first platform with an intuitive interface
- Apart from OpenAI API, you can use your API endpoint too
- Easy to visualize small changes in prompts and compare results
Cons:
- The features to organize prompts are basic as the tool mostly focuses on optimization
Prompt Layer
Type: Web platform
Price: Pricing is usage-based wherein prompts are priced differently based on AI model used.
Website: Prompt Layer
Prompt Layer is designed for teams to optimize and experiment with their prompts. It provides a comprehensive advanced search feature that helps find what you’re looking for using metadata, tags, score filtering, favorites, and usual search queries. It also promotes collaboration using shared workspaces where you can create a central location for all your team’s data.
Pros:
- Helps with A/B testing prompts and scoring for performance analysis.
- It helps evaluate prompt performance against datasets.
- Provides features to understand customer usage
Cons:
- NA
Prompt Manager Pro
Type: Web platform
Free plan features:
- 5 prompt with unlimited editing
- 100 prompt executions per month
- Usage history till 1 month
- Maximum 512-character prompt and 256 tokens response
Paid plan price: The starting paid plan provides unlimited prompts, API tokens, teammates, editing, and execution on a pay-per-use basis. The business plan costs USD 97 per month with increased limits of a maximum of 4,096 character prompts and 4,096 tokens response.
Website: Prompt Manager Pro
Prompt Manager Pro is a dedicated tool to help you manage prompts and improve their performance. It helps track expenses, usage frequency, and effectiveness of prompts and fosters collaborative development to optimize them.
Pros:
- Simplifies security and infrastructure to streamline prompt development workflow
- Features to validate user inputs
- Collaboration features for teams
Cons:
- Features to manage prompts are basic and limited to the creation of folders
Prompt Teams
Type: Web platform
Free plan features:
- Unlimited prompts
- Versioning features with 1 repository
- 2 users per team
Price: The paid plan starts at USD 5 per month for unlimited repositories, users, and branches. It also provides an enterprise plan with a dedicated server and support team.
Website:
Prompt Teams
Pros:
- Enables collaboration between teams to help improve, test, and analyze prompts.
- GitHub-like system to help manage prompts and track changes.
- Helps create prompt chains to develop AI agents.
Cons:
- NA
Portkey – best for streamlining prompts across multiple AI models
Type: web platform
Website: Portkey
Portkey is an LLMOps platform that speeds up the development, launch, and maintenance of generative AI applications. It provides an AI gateway, observability platform, and prompt management system to help companies streamline their AI operations.
Portkey Features:
- GitHub for prompts: allows collaboration and deployment of prompt updates without code changes.
- Multimodal Prompt Library: supports multiple models and features like virtual keys and security guardrails.
- Prompt-Level Observability: Portkey integrates observability features that allow you to view logs and metrics specific to individual prompts. This provides visibility into the performance and behavior of your prompts in production.
Portkey Pricing:
Free Plan (Developer):
Portkey’s free plan offers up to 10,000 requests per month, providing access to essential features such as logs and analytics, prompt and model management, and the ability to include custom metadata in requests. The plan also includes feedback management capabilities and unlimited users, ensuring seamless collaboration. While the free plan offers a limited 3-day log retention and 30-day metric retention, it serves as an excellent starting point for individuals and small teams looking to streamline their AI operations.
Paid Plan (Business at $99 per month):
The Business plan of Portkey includes all the features of the Developer plan, allowing users to manage their AI operations with ease.
It offers up to 1 million requests per month, enabling businesses to handle a significant volume of AI-driven tasks. Additionally, the plan includes role-based access control, virtual keys, retries, load balancing, fallbacks, 365 days of metric retention, and 30 days of log retention, ensuring a comprehensive and secure AI management experience. For additional requests beyond the allocated limit, users can pay $2 per 100,000 requests.
Portkey Pros:
- Simplifies connecting different AI models and managing prompt libraries
- Allows for easy collaboration and deployment of prompt updates without touching code
- Focuses on production use-cases and provides visibility into AI application behavior
Portkey Cons:
- Primarily targets midsize enterprises and AI startups, may not be suitable for smaller projects
Best practices to adopt prompt manager tools for your prompt writing
Selecting and adopting a prompt management tool is a significant decision that requires careful consideration, evaluation, and planning. Here’s a quick checklist of five key considerations before adopting prompt management tools:
1. Assess and evaluate organizational objectives of using prompt manager tools
Does your organization really need to scale prompt management or can you continue using your project management tools? Conducting a comprehensive assessment and evaluation of your prompt requirements and goals helps chart what kind of prompt manager tools can you adopt. Most importantly, it will help you know if you require prompt management at an individual or team level – which will help optimize workflows and existing processes accordingly.
2. Understand how scalable is your prompt manager tool
What would be the requirements when you start scaling your Generative AI use cases? Having an idea of tentative requirements and expansion ambitions will help gauge scalability needs for prompt management.
Then, evaluate the tool’s scalability and adaptability to accommodate increasing volumes, complexities, and demands effectively. One way to check this is to look at the integration features offered. Check if the tool makes it possible to use existing data using the import/export data option. It should also have a ‘Team’ or ‘Enterprise’ plan which is flexible enough to provide seats to more team members when you scale.
3. Usability & user experience
Learning prompt engineering is not limited to technical professionals. With the right prompting tools, any non-technical team member too can write prompts to automate their workflows. Hence, check for prompt manager tools that have an intuitive interface and have enough resources (documentation, training, free trials, product updates, etc) to adapt to every team member’s Generative AI technology proficiency levels.
4. Determine the financials – expenses, budget & ROI calculation process
Generative AI is still an evolving technology and comparatively expensive too if you’re building in-house AI models or leveraging third-party APIs. Establish a clear understanding of budget constraints and allocation requirements related to prompt management tools. Some tools offer a flat subscription while some prompt optimization tools offer a pay-per-use model. It is also advisable to conduct a thorough analysis of return on investment (ROI), cost-benefit analysis, value proposition, and financial viability to justify your investment into prompt management tools.
5. Feedback, Reviews & Recommendations
It is of prime importance to consider if your prompt management tools are truly improving the productivity of your prompt engineers or employees. Coordinate with your software vendor to consider this end-user feedback and recommendations to improve software usability. Before choosing to demo, you can connect with their past customers, check software reviews, and compare with industry trends to evaluate if they follow best practices to prompt engineering.
Frequently Asked Questions
Does ChatGPT provide features for managing prompts?
ChatGPT allows exporting data, archiving chats, enabling custom instructions, and much more – ChatGPT features for prompt management
Why use prompt manager tools instead of OpenAI Playground?
The key benefit of using prompt manager tools is how they provide additional features and visibility to create, test, optimize, and analyze prompts. It helps you scale your prompt writing and management workflows using features like team collaboration, automation design, bulk testing, and integration with external software It also makes it easier to visualize data around your prompt execution so that you can better measure ROI and usability of prompts built.
How do I manage ChatGPT prompts?
Here are three ways to streamline and manage ChatGPT prompts:
- Use ChatGPT’s inbuilt features that provide basic organization like archives, custom instructions, exporting data, or link sharing to your note-taking tool.
- Use project management tools like Notion, ClickUp, Asana, or Coda to organize prompts
- Explore dedicated prompt manager tools that help save, retrieve, and test prompts
How do I use Generative AI prompts?
To make the best use of Generative AI prompts, you must understand the underlying AI model, its limitations, and parameters to fine-tune them to get relevant results. For example, if you are using Generative AI for eCommerce to write product descriptions, you should specify formats to make sure it can provide a streamlined result for each product. You should also monitor the results to make sure it has not incorrectly considered product specifications and iterate the prompt accordingly. Thus, you must create a continuous cycle of improvement for each Generative AI prompt as per the use case to get maximum benefit.
What is the best prompt generator for AI?
A good prompt generator tool not only helps create prompts, but also helps organize, test, templatize, and provide access to a prompt marketplace for inspiration. Check out Prompt Plus, Template Prompts, AIPRM, PromptBetter, Prompt Engineer, Prompt Teams, etc.
Do you have any prompt management software recommendations?
Scaling Generative AI adoption may require adopting prompt optimization techniques, which in turn will require software to track progress. If you’re already using or building a prompt manager tool, do share it with us for a feature.
Do you have additional information about prompt management that you think should be mentioned here? We would love to feature your thoughts on this blog post – email to content@merrative.com
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