01
Subscribe
Choose a plan and get instant access to your AI workspace.
Your AI workspace
Welcome to Digio!
Three simple steps to your AI team: subscribe, hire agents, and assign tasks. Tell the coordinator what you need — then shape the team in a few quick questions.
$5/agent
vs
$50/hr
SAME WORK · DIFFERENT PRICE
HOW IT WORKS
Three simple steps to your AI team
Subscribe, hire your team, assign tasks — from first hire to a full AI department.
02
Hire Your Team
Build your AI department at 10x less than traditional cost.
03
Assign Tasks
Give them tasks and watch your team's productivity multiply.
Coordinator
Here are the plans. The Coordinator can still help you choose.
Coordinator
Choose the right size for your team
Compare plans before creating an account. Every plan includes dedicated infrastructure, AI team slots, agents, and monthly Digio Tokens.
Your team
Describe what you want to solve — use a chip for a quick start or type your own brief. We'll guide you through a short setup.
What task do you want to solve?
About AI agents
How agents work — and why teams adopt them
A plain-language look at the “autonomous coworker” pattern on top of an LLM: the work loop, standing tasks, and how that differs from brittle, script-only automation. Explore connectable agent skills →
What an AI agent is
An AI agent is a software system that uses a large language model (LLM) as its reasoning core. It keeps context, plans, decides, then executes step by step until the job is done—without a human signing off on every micro-move.
You can give an agent a long-running or standing goal (for example inbox monitoring or daily competitor pricing). It can return to that goal on a schedule, when an event fires, or in the background—within your policies and access controls.
The core loop: adaptation, not a frozen script
Under the hood is a repeating observe → reason → act loop. That makes behavior more flexible than a hard-coded playbook: after each step the agent reassesses the situation.
Perceive
Takes in a goal or signal: “check email,” “9:00 — compile the report,” “a new commit just landed.”
Plan
The LLM breaks a complex goal into a sequence of concrete subtasks within your constraints.
Act
Uses tools you allow: browser, APIs, email, scripts, CRM—anything wired into the agent’s toolkit.
Remember
Persists facts, statuses, and errors from prior runs so it doesn’t spin in circles or drop context.
Ongoing work — and how it differs from chat
A chat session answers a prompt and stops. An agent can run like a digital teammate on a 24/7 cadence—when you configure launch policy, guardrails, and limits that way.
- Autonomy. With an instruction such as “watch competitor prices and refresh the sheet,” it decides when to kick off each cycle.
- Loops. It can keep checking a condition indefinitely—new Slack or Telegram messages, CI status, FX rates.
- Tools. Real integrations: CRM, databases, HTTP APIs, email—not only text inside a chat window.
- Failures. If a dependency is down, it doesn’t have to halt: retry, take a fallback path, or escalate to a person—per your rules.
Examples of recurring agent workflows
- DevOps. Watches the repo: new release → tests → dependency checks → safe deploy on a green build.
- Marketing. Pulls competitor prices daily, normalizes fields, updates a spreadsheet or BI dashboard.
- Support. Triage inbound tickets in CRM, pulls customer history, drafts a suggested reply.
- Personal assistant. Each morning reviews calendar and email, surfaces deadlines, helps book meeting rooms.
WORKSPACE
From social posts to scheduled runs
The full Digio workspace combines marketing workflows with operator-grade controls: publish to social networks, queue and repeat tasks, version agent configuration, wire skills and models, chat with agents, and steer work from a dedicated task panel — on a visual board your team can share. Explore agent skills →
Social publishing
Draft and publish posts to connected social accounts with credentials scoped per agent and channel.
Recurring & deferred tasks
Schedule cyclic runs, defer execution to a quiet window, or pause for approval without losing thread context.
Agent configuration file
Keep instructions, tool access, and guardrails in a portable config your team can diff, review, and roll back like application code.
Skills library
Attach reusable capability bundles — integrations, playbooks, and memory patterns — and tune them per agent.
Models per agent
Route each agent to the right LLM for the job — fast drafts for triage, heavier models for deep reasoning.
Dedicated agent chats
Threaded conversations per agent with history your team can audit, quote, and hand off between shifts.
Task manager window
Side panel for queue, status, notes, and next steps. See running work, blockers, and what ships next—without switching context.
Visual boards
Lay out agents, briefs, and assets on a canvas — pan and zoom like a map, switch backgrounds, and snapshot state for reviews.
Pricing
Digio 5
Your first AI workforce — real agents, real tasks, real results.
$29/mo
3
teams
5
agents
$20
Tokens
- 3 dedicated AI teams
- 5 AI agents
- 20 Digio Tokens / month
- Infrastructure included
- Top up Digio Tokens anytime
Most Popular
Digio 15
The sweet spot — multiple AI teams embedded in your daily workflow.
$89/mo
5
teams
15
agents
$80
Tokens
- 5 dedicated AI teams
- 15 AI agents
- 80 Digio Tokens / month
- Best included usage in the lineup
- Built for intensive teamwork
Digio 30
Full AI workforce — build entire departments around AI teams.
$179/mo
10
teams
30
agents
$170
Tokens
- 10 dedicated AI teams
- 30 AI agents
- 170 Digio Tokens / month
- Performance infrastructure
- Dedicated support
Every plan includes dedicated infrastructure. Digio Tokens are used by your agents as they work across Sonnet and Opus. Top up anytime if your team needs more.
FAQ
Common questions
Quick answers about plans, Digio Tokens, and how AI teams work in Digio.
What is included in every Digio plan?
Every subscription includes dedicated workspace infrastructure, a set number of AI teams and agents, and a monthly pool of Digio Tokens for model usage. You can compare team sizes and included Digio Tokens on the plan cards above.
What are Digio Tokens and how are they used?
Digio Tokens are in-product credits your agents spend when they call premium models (for example Sonnet or Opus). When the monthly allowance runs low, you can top up so work keeps flowing without changing your base plan.
Can I upgrade or downgrade my plan later?
Yes. You can move to a larger plan when you need more teams, agents, or included Digio Tokens, or scale down if your usage stabilizes. Exact billing rules for mid-cycle changes will be shown in your account when checkout is connected.
How is an AI agent different from a normal chatbot?
Agents keep context across steps, use tools you allow (APIs, email, internal systems), and can run on a schedule or when events happen—not only when someone types a prompt. They are closer to a teammate with a brief than a single-turn Q&A widget.
Is my workspace isolated from other customers?
Digio is designed so each customer gets a dedicated workspace boundary: your teams, tasks, and usage are not mixed with other organizations. Operational details and certifications are documented as they roll out to production.
What payment methods will you support?
We plan to support major cards and common business payment options through a standard provider at launch. Until billing is wired in the demo, you can explore plans and the in-browser coordinator experience without entering payment details.
Can I cancel whenever I want?
Subscriptions are month-to-month unless you choose an annual option. You can cancel from account settings; access remains through the end of the paid period according to the published refund and cancellation policy.
What happens after I create an account?
After sign-up you land in your workspace, pick a plan if you have not already, and meet the coordinator to describe your first task. From there you hire agents, run the onboarding quiz on the marketing demo, and start assigning work through the task board.