AI21 Labs vs Airtable

What is AI21 Labs?

AI21 Labs offers AI21 Maestro, an AI Planning and Orchestration System designed to solve complex tasks with precision. It ensures reliable, scalable results for enterprises with full transparency. It is perfect for research, document analysis, and workflow automation. Their pricing is usage-based, helping reduce unnecessary spend.

How to use AI21 Labs?

To use AI21 Maestro, define your requirements, tools, and budget. The system dynamically creates and executes tailored plans, breaking complex tasks into actionable steps, scaling inference-time compute, and validating results against your requirements.

What is AI21 Maestro?

AI21 Maestro is an AI Planning and Orchestration System designed to solve complex tasks with structured planning, analyzing multiple strategies, estimating success rates and costs, dynamically creating and executing tailored plans, and validating results against your requirements.

How does AI21 Maestro work?

You define requirements, tools, and budget. Maestro dynamically creates and executes plans, breaking complex tasks into actionable steps, scaling inference-time compute, and validating results. It generates output that meets all requirements, with a validation report and execution graph.

What are the use cases for AI21 Maestro?

Use cases include Enterprise Deep Research, Complex Document Analysis, Data Extraction, and Workflow Automation.

What is Airtable?

Airtable is a next-generation app-building platform that allows users to create custom business applications without code. It offers AI capabilities through Airtable Assistant, enabling data analysis, web research, and document analysis. The platform integrates with various tools like Slack, Google Drive, and Salesforce, providing a unified workspace for teams to manage data, automate workflows, and collaborate effectively.

How to use Airtable?

Users can build custom apps by creating bases (databases) and tables, designing interfaces, setting up automations, and integrating with other tools. Airtable Assistant can be used to analyze data, perform web research, and extract information from documents.

How do I start using Airtable AI?

If you’re on a paid self-serve plan, you have access to a limited number of AI credits each month to test out Airtable AI. If you need more credits, you can purchase the AI add-on, which allows you to use AI at scale. Enterprise customers should talk with their account team to get access to Airtable AI. For all customers, a workspace admin or Enterprise Admin needs to enable AI for the organization. While users will see that AI functionality exists, they won’t be able to access it without an administrator’s approval. Enterprise Admins also have more granular control over the workspaces in which AI is enabled.

What type of work is AI best for?

Airtable AI can be added to any workflow and is flexible enough to advance critical steps across workflows in every team or department. Product teams can use AI to categorize customer feedback and generate product specs to speed up feature development. Marketing teams can use AI to generate creative briefs, gather competitive intel, or draft blog posts. HR and finance teams can use AI to generate job descriptions, categorize budget spend, draft company memos, and more.

Does my information become public?

Airtable protects the privacy and security of our customers' data. No customer data is retained by our model providers or used to train current or future large language models (LLMs).