Describe the work. The workflow builds itself.
Plain-English prompts assemble a multi-agent team, route each task to the best model, and ship the work — across 1,000+ apps.
Free · no card · 5,000 credits/mo
- 10,000+ AI workflows running
- 1.2M+ Agent tasks per day
- 1000+ Apps your agents can act in
- 50+ AI models · auto-routed per agent
Your AI stack is chaos.
Fourteen logins. A dozen billing cycles. Each tool brilliant in isolation, each one a silo. You copy between tabs, forget where your last answer lives, and pay nearly $489 a month for the privilege.
There's a better way. One that doesn't force you to choose a model, a workflow engine, or a creative tool — because it ships all of them.
This is how an AI workforce actually runs.
You describe an outcome. Definable Workflow assembles a team of specialized agents — each picking the best model for its task — and runs them across your stack. Multi-agent. Multi-model. Self-healing.
"Launch a multi-channel campaign about self-healing AI workflows: research competitors, write the post in our brand voice, generate visuals for LinkedIn / X / Instagram, schedule for 9am IST, and report engagement on Monday."
Five specialists. Every task covered.
Each agent is purpose-built for its role and assigned the best model for the job. They coordinate automatically — you just describe the outcome.
Researcher
Scans sources, pulls competitor context, synthesises findings, and briefs the rest of the team.
Writer
Brand-voice drafts, long-form posts, email sequences, and copy — grounded in your Knowledge Base.
Designer
Cinematic photos, character-consistent storyboards, product shots, and social-ready video clips.
Engineer
Plans, builds, tests, and debugs against your repo's own conventions — from your terminal.
Distributor
Schedules, posts, syncs, and sends across every tool in your stack. LinkedIn, Slack, HubSpot, and more.
All five agents share the same Knowledge Base — your docs, databases, and tools — so context never gets lost between handoffs.
Where your work already lives.
Email, CRM, analytics, design, payments, support — Definable speaks to the tools your team is already paying for. Real reads, real writes, real automation.
What people say after a month.
"We replaced six tools and cut our AI bill by 62%. The workflows are the real unlock — it's like hiring an ops lead that never sleeps."
"The Studio alone justifies it. We generate a month of campaign creative in a morning, grounded in our brand guidelines — without a separate Midjourney or Runway seat."
"Def Code writes scoped, reviewable PRs. It's the first agentic coder that didn't make me want to scream. Plan mode is the difference."
Your first workflow is
30 seconds away.
Free plan includes 5,000 credits per month. No credit card required. Cancel any time.
What is Definable AI?
Definable AI is an all-in-one AI workspace built around multi-agent workflows. Describe an outcome in plain English and Definable spawns a team of specialized AI agents — a Researcher, a Writer, a Designer, an Engineer, a Distributor — that collaborate across 50+ models (GPT-5.5, Claude Opus 4.7, Gemini 3.1 Pro, Llama 4, Mistral, DeepSeek) and 1000+ app integrations (Slack, HubSpot, Salesforce, GitHub, Notion, Stripe, and more) to get the work done. Each agent picks the best model for its task. Workflows self-heal when APIs drift. Plans start at $19/month.
Founded in 2024 by Anandesh Sharma and Shubham Shukla in Gurugram, India, Definable bundles everything an AI workforce needs: Workflow (the multi-agent orchestrator with a built-in verification layer), Assistant (the conversational front-desk where agents live), Knowledge Bases (the private RAG-powered second brain every agent draws from), Creative Studio (where the Designer agent generates photo and video up to 1080p with full commercial rights), and Def Code (the Engineer agent for plan, build, design, and test in your terminal). One subscription replaces ChatGPT Plus, Claude Pro, Midjourney, Runway, Zapier, and Notion AI. Hosted in India, the United States, or the EU — tenant-isolated, encrypted at rest, never used to train models.
- Multi-agentWorkflow with verification + retry
- 50+AI models · auto-routed per agent
- 1000+OAuth2 app integrations
- SOC 2Type II + ISO 27001 + DPDP