The Manual

Everything you need to know about your AI workspace.

Getting Started

Core Concepts

Bike4Mind is a platform built on several key principles: • AI Vendor Agnostic We support multiple AI providers (OpenAI, Anthropic, Gemini) and allow seamless switching between them. No vendor lock-in! • Comprehensive AI Integration Beyond text LLMs, we integrate image generation (Scenario), voice synthesis (Eleven Labs), background removal, and more. As we say: 'MOAR TOYS!' • Modern Architecture Built with React/Next.js, MongoDB, and AWS fabric served stateless via SST/SEED - modern, clean, and efficient to operate, while avoiding exotic tech stacks for easy adoption. • Universal Access - Web-based platform with desktop dark mode (primary) and light mode - Mobile and Progressive Web App support - Use on phone, tablet, or as a desktop app • Flexible User Hierarchy Five levels (Demo, Paid, Premium, Manager, Admin) with re-skinning options to support any business case. • Collaboration & Marketplace - Share Notebooks, Files, and Projects (1:1, 1:team, or public) - Optional monetization of shared content - Built-in marketplace for community exchange • Independent AI Infrastructure - Custom RAG (Retrieval Augmented Generation) - Proprietary prompt marshalling - Tool usage and agent creation systems - Full control of our AI stack for rapid adaptation This architecture ensures we can pivot quickly as the AI landscape evolves, while maintaining complete control over our technology stack.

Key Features

Bike4Mind will allow you, or your team to work with a wide variety of different AI models and tools. Let's go over a few of the key features.

Notebooks

Notebooks are what are usually called sessions in other AI platforms. We have differentiated them here as Notebooks because of their ability to contain Knowledge items, switch between different AI modals, and even generate both image and text.

Knowledge

Any type of data you want to work with - documents, spreadsheets, images, or other files that can be understood by AI. This content can be shared and used across Noteboooks.

AI Controls

Model Parameters

Fine-tune AI behavior with advanced controls.

Temperature

0.0 - 2.0

Controls randomness in responses. Lower values make responses more focused and deterministic, while higher values make them more creative and diverse.

Top P

0.0 - 1.0

Nucleus sampling threshold. Controls diversity by limiting cumulative probability of tokens considered. Lower values make responses more focused.

Max Output Tokens

1 - 128000

Maximum length of the response in tokens. One token is roughly 4 characters in English.

Number of Responses

1 - 5

Generate multiple alternative responses in a single request. Useful for exploring different possibilities.

Presence Penalty

-2.0 - 2.0

Penalizes new tokens based on whether they appear in the text so far. Positive values encourage the model to talk about new topics.

Frequency Penalty

-2.0 - 2.0

Penalizes new tokens based on their frequency in the text so far. Positive values reduce repetition of common words and phrases.

Number of Spoken Words

1 - 1000

For text-to-speech responses, controls the approximate length of spoken output in words.