01 / GOAL
Describe the goal and deliverables
Keep the goal, reference material, and deliverable requirements together. Employees work within the scope you provide.
AI-Native Team Studio
For everyone.
Your own
AI team.
You set the goal.
Your AI team delivers.
Bring AI employees together to research, create, and organize your work.
Automate recurring work and make time for judgment and creativity.
One goal. A shared result.
Defined rolesWork handed overExperience reused
WORKSPACE TOUR
Explore the real workspace in 30 seconds.
See goals, employee responsibilities, saved tasks, business dashboards and AI teams in the Community workspace.
Community 0.2.4 · Actual interface with sample data
Download the tourFrom goal to delivery
See an AI team deliver.
In this product-launch example, research, content, and review employees produce a launch plan together. Explore their roles, sources, and results.
Product launchScenario walkthrough · Illustrative content
02 / WORK
Research, content, and review build the plan.
Each employee hands over their work so the next can build on it. The responsible employee brings the final plan together.
- Research
- Check product and market materials, then deliver a source list and the evidence for the campaign.
- Creation
- Build on the research to develop two campaign directions, page copy, and creative requirements.
- Review
- Review the plan against product facts and budget, then compile the execution checklist and open decisions.
03 / DECISION
The key decisions stay with you.
Use Needs you for necessary approvals, missing information, and exceptions. Review the evidence and scope before choosing the next step.
04 / RESULT
Download the plan or request changes.
Review the plan and files, then request changes in the same conversation. Reuse the task requirements so the next task builds on existing work.
Downloadable scenario example
Product launch plan
Two campaign directions, page copy, an execution checklist, and questions to review.
Download example planThis is an illustrative scenario. Actual execution depends on your model, reference material, skills, and tool permissions.
Your AI team workspace
Ask employees for help, discuss plans, follow progress and collect results. Screenshots show Community 0.2.4 with example data; the current release is 0.2.31. New feature guide · Browse all 32 feature views
You and your AI team
From using AI
to leading your AI team.
Researchers find the evidence, planners create the proposal, and reviewers check the work. Delegate, follow progress, and make decisions in one workspace.
Work groups
Mention employees to delegate and discuss work, then review their results in the group.
Tasks and automation
Handle the task at hand and schedule work that repeats.
Projects
Keep related tasks, people, and materials together to track delivery.
Read the projects guideUse cases
One-person business. Shared work.
Start with a specific task and see what an AI team can do for your business.
Content creation
Run a specialist content channel
- Your brief
- “Use this week’s industry developments to suggest three story ideas and draft one article.”
- Your AI team’s work
- The researcher checks information and sources, the content strategist drafts headlines and copy, and the operations specialist organizes imported readership and feedback data.
- Deliverables
- Story ideas, an article draft, source references, and a content review.
- Your decisions
- Which idea to pursue, which views to keep, what to revise, and whether to publish.
Save the brief as a task template and schedule weekly reviews. Keep writing preferences you have confirmed for future work.
Marketing
Plan a client’s product launch
- Your brief
- “Use this product brief and budget to propose two campaign plans.”
- Your AI team’s work
- A content employee prepares materials and copy, a data employee checks imported data, and the owner brings their recommendations together.
- Deliverables
- Channel recommendations, a content calendar, campaign copy, and a performance review.
- Your decisions
- Confirm client requirements, budgets, and commitments. Review creative work and decide whether to launch.
Organize client material by business. Generate weekly reports on schedule and handle task approvals and issues in Needs you.
Security operations
Triage alerts for an authorized client
- Your brief
- “Review these alerts and organize the evidence, open questions, and recommended actions.”
- Your AI team’s work
- A triage employee reviews alerts and context. An investigator connects authorized evidence. A reviewer checks conclusions and the scope of impact.
- Deliverables
- Triage records, evidence sources, recommended actions, and a handover brief.
- Your decisions
- Verify key findings and communicate with the client. Production actions, such as isolating a host, require approval and authorization.
Schedule checks within the authorized scope, reuse triage templates, and review the day’s lessons with Auto Dream.
Explore more industry scenarios
12 business use cases
Explore workflow and solution examples by industry.
General industries
- Enterprise servicesClients and deliveryClients, requirements, sales stages and delivery progressSolution design example
- Content operationsTopics and publishingTopics, drafts, channels and publishing datesSolution design example
- E-commerce and retailProducts and replenishmentProducts, stock, inbound quantities and replenishment needsSolution design example
- Software developmentRequirements and iterationsRequirements, priorities, iterations and verification statusSolution design example
- Education and trainingCourses and teachingCourses, session schedules, capacity and preparation progressSolution design example
- Local servicesBookings and serviceBookings, time slots, locations and service progressSolution design example
Cybersecurity
- Cybersecurity · SOCSecurity operationsAlerts, assets, evidence and investigation progressSecurity operations example
- Cybersecurity · AppSecApplication securityVulnerabilities, applications, remediation owners and deadlinesSolution design example
- Cybersecurity · Data securityData securityData assets, classification, access risks and ownersSolution design example
- Cybersecurity · Cloud securityCloud securityCloud resources, configuration, access permissions and remediation progressSolution design example
- Cybersecurity · GRCPrivacy and complianceProcessing activities, risks, controls, evidence and validity periodsSolution design example
- Cybersecurity · Red teamRed-team assessmentAuthorized scope, windows, findings, detection coverage and retest tasksSolution design example
These are scenario examples. Browse the marketplace for available AI employees, AI teams, apps and skills.
See how to configure employeesTwo kinds of digital roles
AI employees and your digital twin
Employees build methods and experience in their roles. Your digital twin records your personal preferences and judgment.
AI employees · Role responsibilities and experience
AI employees with lasting responsibilities
Give each employee a role, materials, and tools. Their responsibilities and work experience carry forward to the next task.
For example, a researcher keeps interview analysis methods, source standards, and report conventions.
- Responsibilities
- Knowledge
- Skills
- Tools
- Memory
- Permissions
Explore a researcher’s setup
Example · Product research
Researcher
Synthesizes interviews, checks sources, and recommends product improvements.
- ResponsibilitiesWhat work it owns
- Analyze product interviews, check sources, and deliver research reports and recommendations with supporting evidence.
- Knowledge baseWhat to reference
- Product documents, interview notes, and evaluation criteria to inform the analysis.
- SkillsMethods to reuse
- Keep proven methods for interview synthesis, evidence checks, and report writing that employees can reuse.
- ToolsTools to use
- Read business data and perform actions through configured tools and MCP connections, within the permissions you grant.
- MemoryWhat experience it keeps
- Keep feedback and role experience with sources for similar work later. You can inspect the sources and withdraw memories.
- PermissionsBoundaries to follow
- Choose which material employees can read and which tools they can use. You confirm actions that require approval.
The task
Find three recurring problems in this week’s interviews.
The result
A list of problems, interview excerpts, and suggested priorities, saved with the task.
Digital twin · Personal habits and decisions
Record your preferences and judgment
Discuss ideas, draft content and record observations from your approvals, revisions and corrections. Review the sources and keep or withdraw observations.
For example, keep the reasons you approved a proposal or asked for it to be redone.
Your twin’s habit records are stored separately and do not automatically affect regular conversations.
Brand illustrations · See the screenshots above for the product interface
Experience and memory · Auto Dream
Turn each day’s work into reusable experience
Review tasks and feedback to carry useful experience into the next assignment.
Example · researcher
- Your feedback
“Lead with the conclusion and include the original source for every finding.”
- The saved lesson
Lead research reports with conclusions and keep source references.
Linked to the original feedback - The next task
The employee refers to these saved writing requirements when preparing the next report.
How memories are used and managed
Auto Dream saves work summaries and memories automatically, without requiring individual confirmation. You can review sources and withdraw memories. Memories with invalid sources or outside the business scope are no longer used.
Auto Dream is on by default. Review records in employee details or My twin, and change the daily generation time in Settings.
AI employees and capabilities
For the result you need.
Build the right team.
From one employee or skill to an AI team, choose roles and methods for your business, then connect your own materials and tools.
Connect your business
After adding resources, connect your materials and systems, then grant employees the permissions they need.
Reuse and share
Import skills and templates, or share your own configurations. Preview exports before sharing; business records and credentials are excluded.
Code, data, and permissions
Your code. Your environment.
The Community edition is licensed under Apache-2.0. Host it yourself, review and modify the source, and keep business materials and work records in your deployment.
You decide which materials employees can access and which tools they can use.
Plans and ways to use Teloa
Choose your edition
Community
Free and open source · Self-hosted
Build and extend your own AI workspace.
- AI employees, collaboration, and automation
- Custom skills and tools
- Apache-2.0 license
Pro
Native Mac app
Bring AI into your everyday work, ready to use.
- Work with files and apps on your Mac
- Manage tasks and results in one workspace
- Follow up and continue work from your phone
Enterprise
Deploy in your cloud or private network
Connect internal data and systems to bring AI into your workflows.
- Manage members and shared AI employees
- Organization permissions and audit logs
- System integration and custom workflows
About us
The team
Our team comes from leading financial and internet companies, with deep experience in AI, machine learning, and security engineering.
Max Luo
Founder
Security expert and head of the AI Security and Engineering team at a global financial company.
Morgan Chen
Co-founder
Security expert and head of the AI SOC platform at a global financial company.
Caleb Pan
Co-founder
Security expert and a member of the AI For Security team at a leading internet company.
FAQ
Before you get started
How do I get started?
Follow the setup guide for Community, add an AI employee, and delegate your first task. View installation guide
Can I connect my existing materials and tools?
Add business materials, configure tools or MCP connections, and choose which employees can access them.
Can recurring work run automatically?
Schedule tasks daily or weekly and review progress and results from each run. Scheduled work requires the runtime to stay online.
Where is my data stored?
Community stores business records in your deployment. During a task, authorized context and materials are sent to the model or external services in use.
Can you help with deployment and customization?
Yes. We help small and medium-sized businesses map workflows, connect systems, and train teams, starting with one practical AI and automation use case. Explore our services
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TELOA BLOG
All stories
Our thinking / 2026.10.08
From Agent to AI Organization: Why We Are Building Teloa
As AI takes on lasting work, we need to rethink roles, collaboration, and who owns the experience a team builds.
Read the storyTELOA AI SECURITY · 01
Assessing Agent Security: Start with One Tool Call
Threat-model ticket retrieval and messaging through trust boundaries, six invariants, and reproducible denial experiments.
Read the articleTELOA AI SECURITY · 02
Agent Identity: Separate the User, Agent, and Execution Instance
Design channel binding, workload identity, and gateway authentication; examine JWT, SPIRE, delegation, and revocation measurement.
Read the articleTELOA AI SECURITY · 03
From Authorization to Execution: The Boundaries of V2, V3, and V4
A runnable permission kernel, effect-bound approval, TOCTOU, idempotent retries, gateway and MCP enforcement, and twelve acceptance cases.
Read the articleTELOA COMMUNITY
Build the future
of AI teams with us.
Teloa Community is open source. Try the product, share how you work, or contribute a skill.
