Doable is an AI automation platform that allows users to build and deploy task-specific AI agents using natural language prompts and structured workflows. Designed for developers, product teams, and operational leaders, Doable helps automate repetitive tasks by turning instructions into agents that perform jobs like summarizing data, scheduling tasks, querying APIs, or managing internal operations.
With an easy-to-use interface and support for natural language commands, Doable lowers the barrier to creating custom AI workflows—enabling businesses to integrate intelligence and automation into their operations without needing to code every component from scratch.
Features
Agent Builder with Natural Language: Create AI agents by simply describing what you want them to do.
Workflow Automation: Combine multiple actions—like fetching data, processing text, and sending emails—into one automated sequence.
External API Integration: Agents can call external APIs to retrieve or update information in real time.
Collaboration and Sharing: Share agents with team members or the public with a single click.
Version History: Track iterations and improvements in your agents’ behavior over time.
Secure Environment: Built-in safeguards for API keys and data privacy.
How It Works
Describe the Task: Start by explaining the job you want the agent to perform using natural language.
Customize Steps: The platform breaks down your input into structured actions. You can adjust each step manually.
Add Integrations: Connect external tools or APIs the agent may need to interact with.
Test and Deploy: Run a test, observe results, and deploy the agent once it’s working correctly.
Monitor and Refine: Track performance and refine workflows to improve accuracy or expand capabilities.
Doable effectively combines low-code development with AI agent design, allowing users to create smart workflows with minimal engineering overhead.
Use Cases
Customer Support Automation: Create agents that reply to customer queries or summarize support tickets.
Data Analysis and Reporting: Automate the retrieval and summarization of data from spreadsheets, APIs, or databases.
Internal Tools Management: Build AI assistants that help HR, finance, or operations teams automate repetitive documentation or onboarding tasks.
Product Management: Use agents to aggregate user feedback, conduct market research, or update stakeholders.
API Orchestration: Manage multi-step API workflows like checking stock levels, sending alerts, or scheduling meetings.
Pricing
As listed on the Doable website, the platform offers the following pricing tiers:
Free Plan
Includes a limited number of agents and executions per month
Access to basic building tools and community support
Ideal for personal use and early testing
Pro Plan – $20/month
Higher execution limits
Priority support
Access to advanced integrations and agent templates
Team & Enterprise Plans – Custom Pricing
Collaboration features for teams
Role-based access control
SLA-backed support and onboarding assistance
Designed for startups, scale-ups, and enterprise teams managing complex workflows
Doable offers a free trial so users can explore the platform before committing to a paid plan.
Strengths
Low-code/no-code agent creation with natural language inputs
Flexible API integration for complex use cases
Affordable entry-level pricing
Scalable for solo professionals to enterprise teams
Regular updates and an active roadmap for new features
Drawbacks
Still in early-stage development—some features are in beta or upcoming
Requires familiarity with APIs and workflows to fully utilize advanced features
Limited documentation compared to more mature automation platforms
Comparison with Other Tools
Doable vs Zapier
Zapier automates workflows across apps but lacks built-in AI agent functionality. Doable includes AI-based task parsing and decision-making, giving it an edge in intelligent automation.
Doable vs LangChain
LangChain is a developer-first library for building LLM apps, requiring coding. Doable offers a more user-friendly, guided experience with a visual interface and pre-built templates.
Doable vs Make (Integromat)
Make offers visual workflow building across apps. Doable adds an AI-first layer, making it better for users who need logic-based workflows involving reasoning and data interpretation.
Customer Reviews and Testimonials
As an emerging platform, Doable is gaining traction among early adopters—particularly within the tech and operations community. While formal customer reviews are still limited, testimonials on social media and community forums suggest strong early satisfaction.
Common feedback includes:
“It’s like Zapier, but smarter—my agents actually ‘think’ about the task.”
“Within minutes, I automated something that used to take 3-4 hours every week.”
“The prompt-to-agent workflow is intuitive and powerful. Perfect for startups.”
Such feedback shows that Doable resonates with users looking for a balance between automation power and ease of use.
Conclusion
Doable is a promising new entrant in the automation space, blending natural language, intelligent agents, and structured workflows into a single platform. It empowers users—technical or not—to create AI-driven tools that execute real tasks across systems. With its growing feature set, generous free tier, and flexible architecture, Doable is ideal for startups, teams, and individuals seeking smarter ways to automate repetitive work.
As organizations look to integrate AI into their operational workflows, Doable offers a compelling, accessible path to building custom AI agents that actually get work done.
