Trudo.ai

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Trudo.ai automates tasks using Python workflows in a user-friendly drag-and-drop editor with AI-generated nodes.

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What is Trudo.ai?

Trudo.ai is an AI platform designed to enable users to automate tasks through Python-driven workflows. It features AI-generated Python nodes and human input points within a user-friendly drag-and-drop editor. The platform offers features like intuitive user interface, fine-tuning models with CSV files, automatic conversion to JSON format, API integrations, and long-term memory capabilities. Trudo.ai simplifies the process of building and optimizing AI applications without requiring extensive coding skills, making it accessible to users with varying technical backgrounds. Additionally, it supports dynamic routing, flexible memory allocation, library synchronization, node personalization, version tracking, and trigger support for API endpoints and conditions.

Trudo.ai aims to make AI applications more accessible and user-friendly for individuals and teams, offering different pricing plans tailored to different needs and usage levels.

Who created Trudo.ai?

Trudo Ai was created by a team featured in AI Copilot. The AI Copilot generates logic and user interface, making it easy for non-technical users to design complex workflows. The platform allows users to build workflows with AI-generated Python nodes and human decision points through a drag-and-drop editor. It offers features like personalized budgeting tools, flexible payment schedules, tailored investment recommendations, and adaptive financial tracking. Trudo Ai empowers users to automate tasks with Python-driven workflows effectively.

What is Trudo.ai used for?

Flexible Payment Schedules
Tailored Investment Recommendations
Individualized Savings Goals
Adaptive Financial Tracking
Adjustable Spending Limits
Tailored Financial Insights
Build Complex Workflows with Simple Words
Intuitive UI for building AI applications
Fine-Tune AI models with CSV files
API Integrations with OpenAI and external services
Automate Tasks with Python-Driven Workflows
Intuitive UI for building complex AI applications
Fine-Tune models with CSV files
JSON Format for structured data output
API Integrations with OpenAI API and external services
Long-Term Memory feature for efficient knowledge storage
Dynamic Routing for process control
Personalized Budgeting Tools
Build complex workflows using AI-generated Python nodes and human decision points within a drag-and-drop editor
Ideal for users of all technical backgrounds
No extra frameworks or libraries needed
Supports JSON objects of any complexity
Application Intelligence Backed by Python Code
Automated financial management
Customizable budget tools

Who is Trudo.ai for?

Financial managers
Business owners
AI project managers
Data Analysts
AI developers
Financial Analysts
Accountants
Financial Professionals
Business Managers

How to use Trudo.ai?

To use Trudo Ai, follow these steps:

Start by logging into the Trudo Ai platform and accessing the user-friendly, intuitive UI designed for creating complex AI applications.
Build your workflows using AI-generated Python nodes and human decision points within the drag-and-drop editor.
Utilize OpenAI Fine Tuning for model training by leveraging CSV files without the need for coding skills.
Benefit from the automatic conversion of multi-column selections to JSON format for structured data output.
Enhance integration capabilities by utilizing a simple JSON format for data output and interacting with various APIs.
Store and extract knowledge efficiently with the long-term memory feature provided by Trudo Ai.
Enjoy features like dynamic routing for controlling flow, flexible memory allocation for precise needs, library sync for automatic updates, and node personalization.
Monitor changes throughout the workflow's lifecycle with the versions feature, enabling you to deploy, review, or restore as needed.
Make use of triggers such as API endpoints, schedules, conditions, and handling long-running jobs.
Consider the pricing options based on your compute unit needs, storage requirements, and team size to select the most suitable plan.

Pros

Translates English into functional nodes
Fine-Tune with CSV for model training
API Integrations with OpenAI and external services
Long-term Memory feature for efficient knowledge storage
Future pricing plans to introduce new features
Fine-Tune models with CSV files
Automatic conversion to JSON format
Utilize Embeddings & ChatGPT for knowledge storage
Simple and intuitive user interface
Supports API endpoints, schedules, and conditions
Triggers support long-running jobs and return values from API requests
Builds complex workflows using AI-generated Python nodes and human input points within a drag-and-drop editor
AI Copilot generates logic and user interface, allowing non-technical users to design complex workflows easily
Automate Tasks with Python-Driven Workflows
Grasps the context of connected nodes

Cons

Limited information on customer testimonials
Future pricing: Increase in costs as new features are added
Absence of detailed cons or comparison with other AI tools
Increasing costs for additional features
Limited functionality for passing values between nodes
OAuth 2.0 authentication feature is not available yet
Missing information on the breadth of AI capabilities offered
No comparison with other AI tools in the industry
Limited details on customer support options
Lack of information on data security measures
No information on real-time collaboration features
No detailed information on API integrations with specific services
Limited to using data variables within each node's code editor for passing values between nodes
Potential increase in cost as new features are added
No OAuth 2.0 authentication support for integrations yet

Pros

Cons

Translates English into functional nodes
Fine-Tune with CSV for model training
API Integrations with OpenAI and external services
Long-term Memory feature for efficient knowledge storage
Future pricing plans to introduce new features
Fine-Tune models with CSV files
Automatic conversion to JSON format
Utilize Embeddings & ChatGPT for knowledge storage
Simple and intuitive user interface
Supports API endpoints, schedules, and conditions
Triggers support long-running jobs and return values from API requests
Builds complex workflows using AI-generated Python nodes and human input points within a drag-and-drop editor
AI Copilot generates logic and user interface, allowing non-technical users to design complex workflows easily
Automate Tasks with Python-Driven Workflows
Grasps the context of connected nodes

Limited information on customer testimonials
Future pricing: Increase in costs as new features are added
Absence of detailed cons or comparison with other AI tools
Increasing costs for additional features
Limited functionality for passing values between nodes
OAuth 2.0 authentication feature is not available yet
Missing information on the breadth of AI capabilities offered
No comparison with other AI tools in the industry
Limited details on customer support options
Lack of information on data security measures
No information on real-time collaboration features
No detailed information on API integrations with specific services
Limited to using data variables within each node's code editor for passing values between nodes
Potential increase in cost as new features are added
No OAuth 2.0 authentication support for integrations yet

Trudo.ai Pricing and plans

Paid plans start at $4.6/month and include:

Starter - 300k compute units/month
20 GB File storage
Single user access
Standard support over email
Business - 2.4 m compute units/month
100 GB file storage

Trudo.ai FAQs

What are compute units and how are they determined?: Compute units are determined by multiplying time and memory usage. A single compute unit is equivalent to 1 gigabyte of memory utilized for one second.

How is dynamic routing and conditions handled in Trudo Ai?: Output handles are generated based on return statements in Python. Each handle is activated by the presence of specific keys, allowing users to control the flow of each node.

Can values be passed between nodes in Trudo Ai?: Currently, passing values between nodes is limited to using `data` variables within each node's code editor. Functionality to directly access and use variables from other nodes in the UI view is in development.

Is OAuth 2.0 authentication supported in Trudo Ai integrations?: OAuth 2.0 support for integrations is not available yet, but it is in progress. This feature will enable seamless connections with major platforms such as Google, HubSpot, Microsoft, Salesforce, and others.

Why is Python used in Trudo Ai?: Python is chosen for its readability, simplicity, and extensive libraries and frameworks that streamline development. Its community support and abstraction of complex tasks make it efficient for constructing advanced systems.

What can be expected in terms of future pricing with Trudo Ai?: New features planned for the future will enhance product capabilities, possibly leading to increased compute costs while maintaining feature quality and affordability.

What top features does Trudo Ai offer?: Trudo Ai offers an intuitive user interface, the ability to fine-tune models using CSV without coding, automatic conversion of selections to JSON format, easy API integrations, and efficient knowledge storage with long-term memory.

What are some testimonials from customers of Trudo Ai?: Customers appreciate Trudo Ai for streamlining expenses, providing financial clarity, simplifying business finances, and offering peace of mind through organized financial management.