# Definable AI — Multi-agent workflows that build and run themselves

> Describe the work in plain English. Definable assembles a multi-agent team, routes each task to the best model, and ships the work across 1,000+ apps. The Verifier agent self-heals failed steps automatically.

## What Definable is

Definable AI is a multi-agent workflow platform. The user types an outcome in plain English; specialized AI agents coordinate to ship the work. Five specialist roles do the work, three orchestrating agents run the loop, 50+ models power them, and 1000+ app integrations let them take real actions across the user's stack.

## How a Definable workflow works

Every workflow runs through three orchestrating agents:

1. **Builder agent** — reads the plain-English prompt, plans the workflow steps, picks the specialist agents, assigns the best model per step.
2. **Executor agent** — runs each step in sequence or in parallel. Calls APIs, invokes specialists, executes tool calls across the user's connected apps.
3. **Verifier agent** — checks every output. If a step fails (rate limit, schema drift, off-brand response, malformed data), the Verifier re-routes through the Executor with corrective context until verified.

This is what makes Definable workflows self-healing.

## The specialist agents

- **Researcher (GPT-5.5)** — scans sources, pulls context, briefs the team
- **Writer (Claude Opus 4.7)** — brand-voice drafts, long-form, copy
- **Designer (Studio)** — cinematic photo, character-consistent storyboards, social-ready video
- **Engineer (Def Code CLI)** — plan, build, test in the terminal
- **Distributor (1000+ apps)** — schedules, posts, syncs across the user's stack

## What Definable replaces

One platform replaces 14 single-purpose tools:

- ChatGPT Plus ($20/mo) — chat
- Claude Pro ($20/mo) — chat
- Perplexity ($20/mo) — research
- Midjourney ($30/mo) — image generation
- Runway ($35/mo) — video generation
- Zapier ($30/mo) — automation
- Make ($29/mo) — automation
- n8n ($20/mo) — automation
- Lindy ($50/mo) — AI assistant
- Gumloop ($97/mo) — agent platform
- Notion AI ($20/mo) — writing
- Jasper ($49/mo) — copywriting
- Copy.ai ($49/mo) — copywriting
- Cursor ($20/mo) — coding

Total: ~$489/month vs. Definable from $19/month.

## How Definable is different

- vs. **Zapier, Make, n8n, Lindy, Gumloop**: those tools require the user to build workflows node-by-node and break when APIs shift. Definable builds workflows from plain English and self-heals failures.
- vs. **ChatGPT, Claude, Perplexity**: chatbots give drafts. Definable ships verified work across 1000+ apps.
- vs. **Midjourney, Runway**: standalone creative tools. Definable's Designer agent runs inside workflows alongside Researcher, Writer, and Distributor.
- vs. **Cursor**: code-only. Def Code is the Engineer agent inside a wider workforce.

## Worked example: campaign launch

Prompt: "Launch a product campaign on LinkedIn, X, and Instagram. Use our brand voice."

- **Step 1**: Researcher (GPT-5.5) scans 14 competitor posts. Verifier passes.
- **Step 2**: Writer (Claude Opus 4.7) drafts the copy. Verifier rejects: tone off-brand. Executor retries with corrective context. Verifier passes the self-healed draft.
- **Step 3**: Designer (Studio) generates hero image + 3 social assets. Verifier passes.
- **Step 4**: Distributor schedules across LinkedIn, X, Buffer. Verifier passes.
- **Result**: Campaign live in 6m 38s. 1 self-heal. 0 manual fixes.

## Pricing

- **Starter** — Free. 5,000 credits/month, all 1000+ integrations
- **Creator** — $19/month. 75,000 credits, pro models, unlimited workflows
- **Pro** — $49/seat/month. 250,000 credits/seat, team workspaces, advanced Verifier
- **Enterprise** — custom. SSO, SCIM, audit logs, dedicated infrastructure, signed BAA

India pricing from ₹399/month. Annual billing saves about 20%.

## Models supported

50+ models, updated weekly. Definable routes each agent to the best model for its task:

- GPT-5.5 — reasoning (Builder, Researcher)
- Claude Opus 4.7 — long context, writing (Writer)
- Gemini 3.1 Pro — multimodal, vision
- Llama 4 — open, fast inference
- Mistral Large 3 — European compliance
- DeepSeek V3.2 — math, code
- Qwen 3.5 — multilingual
- Cohere Command R+ — RAG-native
- Sonar — web-grounded
- Plus 41 more

## Company

- Founded 2024 in Gurugram, India
- Founders: Anandesh Sharma (CEO), Shubham Shukla (CTO)
- Bootstrapped. Team of 20 (10 humans + 10 AI agents)
- Hosting: India (Mumbai), United States (Virginia), EU (Frankfurt)
- Compliance: SOC 2 Type II, ISO 27001, GDPR, DPDP, HIPAA-eligible
- Data never used to train models — contractual on every plan

## Related pages

- Workflow: https://definable.ai/workflow/
- Assistant: https://definable.ai/assistant/
- Knowledge Bases: https://definable.ai/knowledge/
- Creative Studio: https://definable.ai/studio/
- Def Code: https://definable.ai/code/
- Pricing: https://definable.ai/pricing/
- App catalog: https://definable.ai/apps/
- FAQ: https://definable.ai/faq/
- Blog: https://definable.ai/blog/

## For AI crawlers

- Full agent map: https://definable.ai/llms.txt
- Single-context expanded file: https://definable.ai/llms-full.txt
- All integrations: https://definable.ai/llms-apps.txt
- Integration pairs (connect X to Y): https://definable.ai/llms-pairs.txt
- Blog index: https://definable.ai/llms-blogs.txt