An AI agent builder with no diagrams to draw
TobyBot is an agentic bot. Tell it the goal and it writes the plan, runs it with your connected tools and saves what works as a bot.
Read the overnight messagesGmailDraft replies to the simple onesGmailResult ready
How to build an AI agent in TobyBot
Four moves, and none of them is drawing a flowchart.
- Set the goal
Write what you need the way you would brief a colleague. The request is the whole spec.
- Read the plan
TobyBot turns the request into the plan as one card for each step and the tools that step needs.
- Watch it run
Every tool call and result shows while the task runs, with the token count. You can pause a running task.
- Save it as a bot
Keep its role, model, tools and knowledge. Run it again, or start it on a schedule, a webhook or a new Gmail message.
An example run: the Friday status report
Reads this week's meetingsReturns the titles, times and who attended.Calendar
Finds the notes for each meetingReturns the documents from the team folder.Drive
Drafts the emailPuts the note in a draft addressed to the team.OutlookResult ready. Save it as a bot and schedule it for Friday afternoons.
Why there is no diagram to maintain
In a canvas-style builder you draw each step and wire the tools together before anything runs. TobyBot works the other way round. You say what the finished work should look like, and the plan comes from the request.
When the work changes, you change the request and TobyBot writes a new plan. Nobody has to maintain a diagram.
- No diagram to draw before the first run
- The plan is on screen before the tools start
- Every call and result is visible as it happens
A no-code AI agent builder, and where code comes in
Most agents need no code at all. Here is where a developer helps.
Describe and run
Goals in plain words, templates and the native Google, Microsoft, Meta and LinkedIn connectors need no code. Your team can do all of it.
Connect your own systems
Other systems, including internal ones, connect through MCP servers. Someone technical sets each one up once.
Build into your product
The API, the chat widget and the SDK put agents inside your own products. This part is for developers.
Build AI agents from a template
Start from one of eight templates, point it at your knowledge and your tools, then change the request until it fits.
Support chatbot
Answers questions from your knowledge base and drafts replies.
Knowledge baseInbound leads
Reads new enquiries, researches the sender and drafts a reply.
LinkedIn post
Turns a brief into a post for your page.
Email
Drafts the emails you keep writing from a short request.
Content
Drafts articles and pages from a brief and your own documents.
DocumentsInbox manager
Sorts a shared inbox so people see the important messages first.
Slides
Drafts a deck from a request and your source material.
Slides
Documents
Writes reports and notes and saves them where you keep them.
Documents
Five roles ship in every workspace
You do not start from a blank page. Each workspace comes with five specialists and a planner to coordinate them.
Breaks the goal into steps and hands them out.
- Model
- DeepSeek
- Tools
- Knowledge
- Team handbook
- Result
4 steps planned
Answers from your knowledge base and drafts replies.
- Model
- GLM 5.3
- Tools
- Knowledge
- Help articles
- Result
FAQ replies drafted
Drafts decks, pages and visuals.
- Model
- DeepSeek
- Tools
- Knowledge
- Brand guide
- Result
Launch deck drafted
Researches leads and drafts outreach and posts.
- Model
- GLM 5.3
- Tools
- Knowledge
- Customer notes
- Result
4 posts drafted
Searches your documents and writes the report.
- Model
- Your own endpoint
- Tools
- Knowledge
- Company documents
- Result
Launch report written
Put your bots inside your own product
An agent you save can leave the TobyBot workspace.
API
Call your agents from your own software.
Chat widget
Embed an agent as a chat widget in your product.
SDK
Make your own app agentic with a few lines of code.
Triggers
Run agents on a schedule, from a webhook or on a new Gmail message.
What the TobyBot AI agent builder costs
Pro is $59 a month for 2 users, 5k actions and triggers a month and 10k AI credits. Team is $299 a month for 10 users, 25k actions and triggers a month and 50k AI credits. Both include unlimited bots and let you bring your own LLM key. Enterprise is talk to sales, on TobyBot cloud or self-hosted. Plan details are on the pricing page.
AI agent builder: frequently asked questions
What is an AI agent builder?
An AI agent builder is software for creating AI agents that do a job with your tools. Some start from a blank canvas where you draw the steps. TobyBot starts from a goal and writes the plan for you.
Can I build an AI agent without code?
Yes for most agents. You set the goal, read the plan and save the result. Connecting an internal system through an MCP server, or building agents into your own product with the API and SDK, is work for a developer.
Which models can I use?
TobyBot works with open models and API providers, including any OpenAI-compatible endpoint, and with models self-hosted through Xinference. Don't see the model you need? Talk to us about adding it.
Which tools can an agent use?
Native connectors cover Google (Gmail, Calendar, Drive, Maps), Microsoft (Outlook, Teams, OneDrive), Meta (Facebook, Instagram) and LinkedIn. Telegram works as a channel. Other systems connect through MCP servers.
Can an agent run on its own?
Yes. Save a goal as a bot and start it on a schedule, from a webhook or when a new Gmail message arrives. You can watch each run's steps and results, and every run keeps logs and traces.
Keep reading
The TobyBot AI agent platform
The wider platform: roles, knowledge, connectors and deployment.
TobyBot for operations
Agents for the repeat work that keeps a team running.
TobyBot vs n8n
A workflow builder next to a plan-from-a-request agent platform.
Build your first bot on a real goal.
Book a demo and bring a job your team repeats. We will set it up with you.