Cheat Layer
Tags
Pricing model
Upvote
0
Cheat Layer is a machine learning utility designed to automate business processes by offering custom-trained GPT-4 models that function as personal AI software engineers. It provides "cheat codes" for comprehensive automation and includes a no-code, drag-and-drop interface to transform these automations into products. The tool features webhook triggers, Chrome browser automation, unlimited tasks and data access via Google Sheets, and consulting hours for building automations.
**Message from Cheat Layer:**
Focus on Solutions, Not Apps
Instead of waiting for someone to create an app, agents can customize services to fit your needs perfectly. Software developer agents have the capability to construct complete apps, frontends, backends, marketplaces, cryptocurrencies, games, and products powered by ChatGPT.
Stop wasting time comparing all the options out there that don’t meet your needs just to choose the best current option.
Not Another AutoGPT Clone
We have been developing agents for over a year and were the first startup approved to sell GPT-3 for automation in summer 2021. We likely started around the same time as Adept.ai, but we have been tackling challenging obstacles for over a year.
Our agents address unique problems unresolvable elsewhere, delivering them through an innovative project management interface—ideal for parallel management of functional agents to achieve real work like your personal AI team.
Agents with Unique Features
We are the first and only agents platform that allows task editing directly, which is the most effective way to create functional agents for your business. Build GPT-4 powered autoresponders and autonomous sales agents that carry out personal conversations with over 5 responses using a vector DB as a CRM. Cultivate your custom private dataset, increasing its value and making it convertible to future models like GPT-5. You can email agent tasks, activate tasks from webhooks, edit tasks, and manage agents through a unique project management interface.
Similar neural networks:
Upvote
0
Otto Engineer is an AI-driven coding assistant designed to independently write, test, and iterate code within a browser-based setting, removing the need for setup. It harnesses Web Containers to securely run Node.js and OS commands in isolation, guaranteeing that code functions in a genuine context, not a simulated one. Otto is capable of managing npm package installations, configuring TypeScript, and creating its own tests, making it a valuable asset for developers aiming to accelerate the coding and debugging process, boost productivity, and verify code functionality before deployment. Users may find Otto appealing for its capability to swiftly develop and refine code without the burden of manual testing and environment configuration.
Upvote
0
Frontdoor speeds up research by allowing users to quickly move from compiling a reading list to crafting a first draft. It supports the gathering of various content forms—such as papers, articles, and videos—by offering intelligent summaries and aiding in writing. Endorsed by academics, it automates the organization, summarization, and writing tasks using AI that draws from the user's reading list. Frontdoor is acclaimed for its easy-to-use workflow and ability to summarize varied content effectively, making it a vital resource for researchers aiming for efficient information management and idea development.
Upvote
0
Inferable is an AI automation platform geared towards developers, facilitating the creation, deployment, and management of AI-enhanced workflows with current codebases. It offers features such as AI guardrails, composability, distributed orchestration, and comprehensive observability, ensuring dependable and scalable AI processes. Developers may opt for Inferable to seamlessly incorporate AI functionalities into their applications while retaining data and workflow control, boosting reliability, and bolstering security and compliance.