RespellNo-code platform for building AI-powered workflows and automations

4.5 (6)

Reviewed by Daniel Nikulshyn·Updated July 2026

No-Code Workflow Automation AI Agents Integrations API Templates Business Operations

Overview

Respell is a visual workflow builder that lets teams design and deploy AI automations without writing code. Users connect language models, data sources, and business tools through a drag-and-drop interface called 'spells,' which can be triggered manually, on a schedule, or via API. The platform is aimed at operations, marketing, sales, and product teams looking to automate repetitive tasks like content generation, lead enrichment, research, and document processing. Workflows can chain multiple AI models together, include conditional logic, and integrate with apps such as Slack, Google Sheets, and HubSpot. Respell positions itself as an accessible entry point to applied AI for non-technical users, while still offering enough flexibility for developers to extend automations through APIs and custom inputs.

Key features

Drag-and-drop 'spell' workflow builder
Access to multiple LLMs in one platform
Conditional logic and branching steps
Scheduled and API-based triggers
Prebuilt templates for common use cases
Integrations with Slack, Sheets, and CRMs

Pricing

Model: Freemium
Category: AI Agents
Rating: 4.5 / 5 (6)

Use cases

Automated Lead Enrichment for Sales

Sales teams can build spells that pull leads from a CRM like HubSpot, enrich them using LLMs and external data, then push results back into their pipeline automatically.

Scheduled Content Generation

Marketing teams can schedule workflows that generate blog drafts, social posts, or newsletter copy using chained LLMs and deliver them to Google Sheets or Slack.

Document Processing Pipelines

Operations teams can design spells that ingest documents, apply conditional logic, and route extracted data to the right tools without writing code.

API-Triggered AI Research Assistants

Product teams can expose workflows as API endpoints to run on-demand research tasks, chaining multiple models to summarize findings and return structured outputs.

Pros & Cons

Pros

Visual no-code interface lowers the barrier to AI
Chains multiple models and tools in one workflow
Integrates with common business apps
Workflows can be triggered via API or schedule

Cons

Complex automations may still require technical know-how
Costs can grow with heavy model usage
Smaller integration library than mature automation platforms

Reviews

4.5

Average from 6 ratings.

Frank Müller

Feb 19, 2026

Solid for our team

We rolled this out across the team last quarter and workflows can be triggered via API or schedule. Integrations with Slack, Sheets, and CRMs fits neatly into how we already work, and prebuilt templates for common use cases removed a step we used to do by hand. but it has held up under daily use.

Omar Haddad

Jan 3, 2026

Years in this space

I've evaluated a lot of these over the years. What stands out here is drag-and-drop 'spell' workflow builder — handled better than most — and workflows can be triggered via API or schedule. Complex automations may still require technical know-how is my one real gripe. Worth the time if this is your use case.

Liam O’Connor

Dec 4, 2025

Use it every day

Honestly didn't expect to like it this much. Integrations with Slack, Sheets, and CRMs is exactly what I needed, and visual no-code interface lowers the barrier to AI. I do wish smaller integration library than mature automation platforms, but I reach for it almost every day now and it just clicks.

Priya Nair

Nov 6, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on prebuilt templates for common use cases, and workflows can be triggered via API or schedule caught me off guard. still, I'd recommend giving it a real trial.

Marcus Bell

Oct 17, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on access to multiple LLMs in one platform, and visual no-code interface lowers the barrier to AI caught me off guard. still, I'd recommend giving it a real trial.

Gunnar Eriksson

Jun 12, 2025

Solid for our team

We rolled this out across the team last quarter and workflows can be triggered via API or schedule. Scheduled and API-based triggers fits neatly into how we already work, and conditional logic and branching steps removed a step we used to do by hand. Complex automations may still require technical know-how, which is the main caveat, but it has held up under daily use.