Free
$0Free plan available.
Respell is an AI-first platform designed to automate knowledge work. It features Elle, an intuitive chat agent that learns your team’s processes and data over time to suggest new automations. Respell integrates with your tech stack, including Gmail, Notion, and Airtable. It allows users to build agentic AI workflows to ensure controllability, accuracy, and performance from AI agents without scaling headcount. The platform offers advanced AI models from OpenAI, Anthropic, Cohere, and open source providers, along with custom-built agents for research, phone calls, and integrations. Respell ensures enterprise security with SOC II compliance and advanced PII & Prompt Injection Prevention.
Users can build Spells using a no-code builder, connect with various tools and data sources, and configure workflows to run automatically. Respell enables users to combine AI models, triggers, and applications into custom spells, creating AI-powered workflows that process data, generate content, conduct research, and facilitate decision-making.
Respell is an AI-first platform built to automate knowledge work, featuring a chat agent that learns your team’s processes and data to suggest new automations.
Respell supports integrations with tools such as Gmail, Notion, Airtable, Salesforce, and others.
Respell utilizes advanced AI models from providers including OpenAI, Anthropic, Cohere, and various open-source options.
Yes, Respell is enterprise-ready, offering SOC II compliance, compliant models, and advanced PII and prompt injection prevention.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Respell.
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Compare Claude 4 Opus and Claude 4.5 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus reasoning-heavy tasks.
Compare Claude 4 Opus and Claude 4.6 Sonnet across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for reasoning-heavy tasks versus long-context workloads.
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