AI Tim Studio is a workspace where PO and PM agents run the project, developer agents write code, QA and security check quality, and you have full control through task board, repo, tests, deploy and budget. One place instead of ten different tools.
14 AI agents
8 built-in + 6 extended
Full lifecycle
from specification to deploy
Training included
workshops with AI experts
32
active tasks
8
agents on team
€420
spend this month
PO Agent
Specification ready for approval
Backend Agent
Users API — PR #18
DevOps Agent
Staging deploy — awaiting approval
Real screens — projects, AI agent team, task board, communication, cost and UI generation.
Responsive design and PWA: install it as an app on your phone, use it on a tablet or in the browser on your computer — the same experience, everywhere.
Copilot and ChatGPT help individuals. AI Tim Studio organizes the whole team — from product owner to deploy — with clear responsibilities and control.
Instead of ten conversations across different tools, you have one project with PO chat, PM chat, direct chat with each agent and full history.
Specification, plan, architecture, code, tests, security review and deploy — all connected in one workflow with task board and artifacts.
Approval gates for specification, architecture, merge and deploy. Budget limits and warnings. Nothing critical goes live without your approval.
Describe what you need — in text, documents or existing code. PO Agent asks questions and writes specification. PM Agent plans tasks. Developer agents implement. You track progress and approve key steps.
New project from scratch
Describe your idea, upload documents (PDF, DOCX, ZIP) and get specification and plan.
Existing code
Connect Git repo, local folder or archive — platform analyzes stack and suggests agent team.
Changes and iterations
Change Request and Rework tasks for changes on existing project — with full traceability.
Cost control
Token tracking per agent and task, budget simulator and warning at 80% limit.
Your way of working
Customize agent team, policies, approval matrix and workflow template per project.
Team of 14 specialized agents
Modular team — enable only agents you need. Core team covers standard development; extended team adds domain expertise, analytics, design and cost optimization.
Core team — built into platform (8 agents)
First contact on the project. Gathers requirements, asks questions, analyzes uploaded files and writes Product Specification with user stories and acceptance criteria.
Takes over after approved specification. Breaks work into tasks, defines dependencies, sprints, estimates and assigns to the right agents.
Designs architecture before writing code: components, tech stack, data model, API surface and ADR documents with decision rationale.
Implements server-side: REST/GraphQL APIs, business logic, models, database migrations and integrations — with tests and no secrets in code.
Builds user interface: components, routing, state management, API integration, responsive layout and accessibility (WCAG).
Verifies that what was built matches what was requested. Runs tests, finds bugs, scores code quality and gives verdict with concrete repro steps.
Security audit of code: authentication, authorization, input validation, secrets, injection, dependency risks — by OWASP categories with clear mitigations.
Makes the app deployable: Dockerfile, CI/CD pipeline, environment config, smoke tests and rollback plan for staging and production.
Extended team — for more complex projects (6 agents)
Domain expert for regulated and specialized areas (finance, healthcare, e-commerce, GDPR…). Validates business logic and reviews other agents' artifacts.
Defines metrics, dimensions, reports and analytics specification. Prepares data for dashboards, BI reports and KPI tracking in the app.
Designs and implements database schema: tables, indexes, constraints, migrations and optimizations. Coordinates with Data Analyst and Backend agent.
Creates Design Specification before Frontend agent writes code: wireframe descriptions, user flow, components, responsive rules and accessibility guidelines.
Estimates effort, time and token cost for new features, change requests and rework. Helps you decide before work starts.
Optimizes AI consumption: picks minimal context for task, suggests cheaper model for low-risk tasks and warns before expensive operations.
Each step has its agent, artifacts and approval gate where needed. You track progress in real time.
You describe what you want. PO Agent writes Product Spec.
PO Agent
PM breaks work into tasks with estimates.
PM Agent
Tech stack, components, ADR. You approve.
Architect
Backend and Frontend work in parallel.
BE + FE
Tests, bugs, quality report.
Evaluator
Security audit before merge.
Security
CI/CD, staging, production.
DevOps
Not just AI chat. Full software lifecycle with tools serious teams use.
From scratch, Git repo, archive upload, local folder or manual description — with wizard and code analysis.
Talk to each agent separately. Upload files in chat. WebSocket real-time responses.
Choose agent team, team templates, connections graph, policy editor and performance benchmarks.
Kanban with 7 columns, sprints, drag-drop, bulk actions, checklist, comments, change request and rework.
Specifications, architecture, code changes, test results — versioned, with diff and download.
Approval matrix per project. Gates for spec, architecture, merge and deploy — you control.
File tree, diff viewer, PR review, branch management, revert, changelog. GitHub/GitLab push and pull.
Test runs, coverage dashboard, CSV/PDF export, UAT checklist, automatic bug tasks.
SAST scan (Bandit), secrets detection, security findings dashboard, fix task creation.
Environment management, staging → prod promotion, safe merge gates, rollback checkpoints.
Token tracking per project, agent and task. Budget simulator, estimates, spend charts.
In-app, WebSocket and email: agent finished, budget warning, approval needed, deploy ready.
RBAC, tenant isolation, project roles, user management, SSO via OIDC/ZITADEL.
Cmd+K search across projects, tasks, artifacts and conversations.
Serbian and English. Progressive Web App — install on desktop and mobile, offline support.
Audit log, retention policies, PII governance, feature flags, health monitoring.
Cloud multi-tenant or self-hosted — Docker Compose, Helm chart, license manager.
Support ticket system, contact form, documentation and help center in platform.
Anyone building software who wants AI agents to work in an organized way — not chaotically.
Have an idea but no full team? PO and PM agents run the project, developer agents write code, you focus on business and decisions.
Multiple projects, multiple clients, one platform. Multi-tenant, tenant isolation, per-project budget and approval workflow.
Describe what you need in Serbian or English. Agents write specification, plan and code — you approve steps.
On-prem install, SSO, audit log, RBAC, air-gapped mode and license management for regulated industries.
Use agents as productivity multiplier — repo integration, PR review, test pipeline and deploy stay under your control.
Import Git repo or archive, stack analysis, suggested agent team and iterations through Change Request flow.
Not promises — real platform capabilities you can see in a demo.
Every task has assignee agent, estimate, dependencies and acceptance criteria — no "AI will figure something out".
Repo with diff, PR review, branch management and revert — like a real dev environment.
Automatic test runs, QA report, security scan and UAT checklist before anything goes live.
See what each agent, task and project costs. Budget limits and warnings before overrun.
Approval gates on specification, architecture, merge and deploy — AI suggests, you decide.
Interface in Serbian and English. Chat with agents in both languages. PWA for work from any device.
With the app you also get practical training — not just a license, but knowledge for your team to use it confidently from day one.
Team with international experience
Experts who work for multinational companies and have years of experience implementing AI solutions in production.
Workshops, not passive lectures
Interactive format — your staff work directly in the platform, ask questions and practice what they learn immediately.
For the whole team
Product owners, developers, QA, managers and IT — everyone learns the part of the tool relevant to their role.
From tools to agents
Introduction to platform, project workflow and how to create, customize and coordinate AI agents.
That's why AI Tim Studio includes training: your people aren't left alone with a new system. Workshops are tailored to your team — online or on-site — focused on real projects and your business processes.
Projects, task board, chat with agents, approvals and budget — hands-on for all roles.
How the agent team works together, how to choose and configure agents, policies and workflow.
Creating custom agents, repo integration, deploy pipeline and work on your pilot project.
Use our cloud service or install on your own infrastructure — same UX, same functionality.
SaaS multi-tenant
Quick start — sign up and create your first project right away.
On-Premise
Docker Compose or Helm chart on your server. License manager with offline validation.
Air-gapped
Fully offline environment for organizations with strict security requirements.
Enterprise SSO
Login via ZITADEL / OIDC — integration with existing identity provider.
Core modules — projects, task board, repo, deploy, security, approvals, usage — are implemented and tested. AI agents integrate into the platform; all hooks, gateway and orchestrator are ready.
Early access lets you test the platform before public launch and influence development priorities.
Connects to tools your team already uses.
GitHub / GitLab
Repo sync
ZITADEL / OIDC
Enterprise SSO
PostgreSQL
Database
Redis
Real-time & jobs
MinIO / S3
File storage
Prometheus
Monitoring
Bandit SAST
Security scan
Docker
On-Prem deploy
Helm / K8s
Scaling
WebSocket
Live updates
Notifications
PWA
Desktop & mobile
No. Product Owner Agent leads the conversation in your language, asks questions and writes specification. You track progress, approve key steps and communicate with agents — programming knowledge isn't required, but useful for code review.
ChatGPT and Copilot help an individual in one conversation. AI Tim Studio organizes a whole team of agents with task board, repo, tests, deploy pipeline, budget and approval gates — from idea to production in one system.
Yes. Connect Git repo (GitHub/GitLab), upload ZIP archive, connect local folder or describe the project manually. Platform analyzes stack, suggests agent team and enables iterations through Change Request flow.
Core team has 8 agents (PO, PM, Architect, Backend, Frontend, QA, Security, DevOps). For more complex projects extended agents are available: Domain Expert, Data Analyst, SQL Admin, UI/UX Designer, Estimation and Token Optimizer. Choose team per project.
Yes. Platform tracks token usage per agent, task and project. Set budget limit, get warning at 80%, and Token Optimizer Agent (when active) suggests ways to reduce cost.
Yes. With the platform you get workshops led by experts with years of experience in AI implementations at multinational companies. Training is tailored to your team — introduction to tool, workflow and creating AI agents, in interactive format for all staff.
Yes. Besides cloud version, On-Prem (Docker Compose / Helm) and air-gapped mode are available with license manager, SSO integration and backup/restore.
Platform is in early version — core modules work, AI agent runtime is integrating. Early access and demo are available now; public launch planned after agent integration is finalized.
Book a demo and walk through the full flow: project creation, conversation with PO agent, task board, repo, tests and deploy pipeline. With the platform you also get workshops with our AI experts — so the whole team can start confidently.