01 An ecosystem for human potential
Your world. Working with you.
Born from a wish for more focus, Tuturuuu is building an open ecosystem for human potential. Useful tools today. A deeply capable partner tomorrow—one that understands your world and helps you act.
TUTURUUU
WorkPeople
Knowledge
Learning02 The invisible work
The work connects. The tools often don’t.
A customer promise arrives by email. Its plan lives on a board. Its decision happens in a meeting. Its context disappears into a document. People become the integration layer—and even a powerful AI sees only fragments.
09:00 / The promise
A new project arrives. Who has the time and skills?
13:00 / The scramble
Plans change. The schedule and the task board disagree.
18:00 / The cost
The team worked all day. The most important work is still waiting.
03 The world in motion
The shift is already here. The operating model is still forming.
AI adoption is broad, agent use is accelerating, and skill requirements are changing. These signals point to a need for better ways to organize work, learn, and stay in control—not merely another place to ask a question.
Sources[1] Stanford HAI · AI Index 2026[2] Microsoft · Work Trend Index 2026[3] World Economic Forum · Future of Jobs 2025
04 Our north star
A JARVIS-like partner. A very practical beginning.
Our ambition is to build a Vietnamese technology company with the invention and breadth people associate with Google—on our own open path. The north star is a JARVIS-like partner: deeply useful, connected to your world, and accountable to you.
AI concept illustration · not an existing facility or product screenshotUnderstand
Ground assistance in the context you choose to share.
Anticipate
Surface opportunities and constraints before they become urgent.
Act with you
Propose, explain, ask for approval, and learn from outcomes.
05 Why an ecosystem?
Many useful products. One compounding foundation.
AI makes first versions easier to build. Lasting value lives in maintained architecture, shared permissions, reliable infrastructure, and connected context. We build focused products on that common foundation, expanding where reuse and customer value justify it.
Build the first version
Help anyone create and customize useful tools. Lower barriers are an opportunity.
Maintain the whole system
Permissions, security, reliability, migrations, and interoperability need ongoing care.
Compound the investment
Ship focused products on shared foundations. Expand where reuse and customer value justify the maintenance.
06 The foundation exists
Every useful product adds another piece of the world.
Tasks reveal intent. Calendars reveal constraints. Conversations reveal decisions. Documents preserve knowledge. Finance and contacts connect work to real relationships. Our ecosystem is the foundation for joining those signals responsibly.
Work & collaboration
Tasks · Calendar · Track · Meet · Mail · Chat · Drive · Colab
Business & people
Contacts · Finance · Pay · Inventory · Forms · CMS
Learning & intelligence
Learn · Teach · Mira · Rewise · Nova
07 Product in focus / Tasks
An intention becomes a next step.
A thought becomes a task, then a plan. Boards, projects, cycles, and smart suggestions help people decide what matters. This is the first building block of an assistant that can understand what you are trying to accomplish.
Tuturuuu Tasks ↗From intention to a plan.
Suggested priority, estimate, and next step. You review.
08 CALENDAR × TASKS
The plan finds a place in your day.
Smart Calendar brings tasks and habits into the reality of working hours, events, priorities, and deadlines. Automatic scheduling helps turn intention into time you can use; you can review and adjust the result.
Respect reality
Availability, working hours, and existing events.
Make a useful plan
Priority-aware scheduling for tasks and habits.
Keep adapting
Review the schedule as priorities change.
09 MAIL × MIRA
A message becomes a commitment you can keep.
Smart labels, assisted drafting, and follow-ups are the foundation. We are building toward Mira extracting action items and connecting commitments to tasks and time—so inbox zero means fewer loose ends, not merely fewer unread messages.
Understand
Smart labels and contextual drafting foundations.
Extract
Building toward Mira-powered action items and commitments.
Follow through
Reviewed replies, follow-ups, and a path toward inbox zero.
10 CHAT × MIRA
The conversation becomes a place to work together.
People, channels, shared files, and AI conversations belong in the same working context. Smart Chat is our path toward humans and AI coordinating in the conversation where a decision actually begins.
Talk together
Direct messages, groups, channels, and AI conversations.
Keep the context
Conversation history and Drive-backed attachments.
Coordinate the next step
The direction: humans and AI collaborating across workflows.
11 Product in focus / Meet
The assistant joins the room.
Mira can participate in Tuturuuu Meet through room chat and opt-in Live voice. Private assistance and reviewed workspace actions create a bridge from discussion to action, while keeping participants aware of when and how AI is involved.
@mira What should we test next?
12 DOCUMENTS × WHITEBOARDS
The team leaves a shared trail of understanding.
Realtime whiteboards make thinking visible. Collaborative documents turn it into shared knowledge. Google Docs-like editing, files, and workspace context form another part of the memory an intelligent partner will need.
Sketch together
Shared canvases and realtime whiteboard collaboration.
Write together
Collaborative rich-text editing and shared knowledge.
Connect the outcome
Files, people, tasks, and conversations in one product direction.
13 Why an ecosystem matters
Mira connects the meaning between things.
A message carries a promise. A task carries the plan. A calendar carries the constraint. Mira is our assistant across this ecosystem; permission-aware context is the next layer that can make each decision more useful.
Shared context
People, projects, knowledge, and workspace permissions.
Useful decisions
Relate commitments to capacity and learning needs.
Compounding value
Each useful workflow makes the next connection more valuable.
14 A day in the future
“Can we take on this project?”
Follow one future workflow: Mira connects a customer request with delivery commitments, available capacity, and skills the team wants to develop. It proposes options for people to review. The value is a better decision with the relevant context in reach.
Understand the commitment
Bring together the brief, deadlines, and agreed requirements.
Compare the options
Explore workload, skills gaps, and schedule trade-offs.
Turn a decision into progress
Approve a plan, coordinate the work, and review what actually happened.
15 Start where the stakes are real
Make this useful for the teams that need it.
Start with three bounded questions: Do we have capacity? What should we learn? How can a new teammate get up to speed? Existing product foundations support a configurable prototype, with human review and measurable outcomes.
Sources[4] OECD · Generative AI and the SME Workforce (2025)
01 / Capacity
Where is work at risk, and how could we rebalance it?
02 / Skills
What should the team learn to deliver the next opportunity?
03 / Onboarding
How can a new teammate become confident and effective sooner?
16 Use case 01 / Workload planning
First, make the trade-offs visible.
Start with agreed availability, estimates, and deadlines. Show where a proposed commitment creates pressure. Compare timing, scope, and support before deciding what the team can responsibly take on.
Inputs
Task estimates, due dates, working calendars, and declared availability.
Configurable outputs
Team capacity views, scheduling conflicts, and alternative allocations.
Evaluation
Planning time, missed commitments, and staff feedback against a baseline.
Concept illustration · not measured results
17 Use case 02 / Workforce development
Then help people grow into the opportunity.
Employers surveyed by the World Economic Forum expect 39% of core skills to change by 2030. We want work and learning to reinforce each other: voluntary skills profiles, mentoring, and practical development paths tied to real projects.
Inputs
Role requirements, self-declared skills, and agreed learning goals.
Configurable outputs
Skills maps and learning suggestions with evidence and uncertainty.
Evaluation
Learning completion, practical assessments, and employee usefulness ratings.
Concept illustration · not measured results
18 Explore before you commit
Try the decision before making the commitment.
A good assistant should help examine assumptions. This capacity sandbox makes one simple relationship visible: people, available hours, and demand. It illustrates how a proposed decision-support tool could invite discussion before action.
Weekly capacity sandbox
Compare with baseline
Baseline: 6 people × 24 hours = 144 hours; 180 hours of work leaves a 36-hour gap.
Synthetic illustration. Capacity = people × available hours. Ignores skill fit, dependencies, leave, and individual preferences; not a staffing recommendation.
19 HIVE × MIND
Practice coordination in worlds we can inspect.
Before scaling complex agent behavior, we research it in simulation. Hive and Mind bring together roles, interaction workflows, environments, and research-session histories. These experiments help us study coordination, handoffs, and failure recovery.
AI concept illustration · not an existing facility or product screenshotSet the scene
Roles, world context, and scenario conditions.
Coordinate agents
Interaction pairs and authored workflows.
Observe and learn
Run histories, simulation ticks, and research sessions.
20 Human agency is the design principle
More capable assistance should strengthen your agency.
Useful autonomy needs clear boundaries: what the assistant may access, what it may do, and when it must involve a person. We want people to understand, challenge, correct, and stop consequential actions—not lose their voice as the system becomes more capable.
Sources[5] Anthropic · Trustworthy agents in practice (2026)
Use only what is needed
Agree purpose, access, retention, deletion, and consent or another appropriate basis before ingestion.
Make outputs contestable
Show sources and assumptions, test errors and bias, and support correction and escalation.
Keep people accountable
No autonomous hiring, firing, pay, or disciplinary decisions. No covert monitoring or inferred emotion scoring.
21 Make the proof measurable
Earn the next step with evidence.
Agree a baseline before a pilot. Track task success, corrections, review effort, user experience, and operating cost. A compelling demonstration starts the conversation; dependable performance in the intended setting earns expansion.
Decision quality
Compare recommendations with expert review; inspect errors and unsupported answers.
Workflow value
Measure task completion time and user feedback against the current process.
Responsible adoption
Track accepted, edited, and rejected suggestions with consent and minimal telemetry.
Concept illustration · not measured results
22 A bounded path to proof
Build one useful loop. Learn. Then widen it.
An indicative 12-week engagement starts with one workforce question and a clear evaluation plan. Adapt the relevant components, test with users, and decide together whether the evidence supports expanding to additional use cases.
Weeks 01–03 / Define
Choose the use case, appoint a technical lead and domain owner, agree data access and evaluation.
Weeks 04–08 / Adapt
Build the bounded prototype, configure outputs, test scenarios, and review safety and usability.
Weeks 09–12 / Evaluate
Run a supervised pilot, report results and limitations, and recommend a scale-or-stop decision.
23 Scope before scale
A shared mission. A clear way to build.
Founded by Võ Hoàng Phúc, Tuturuuu contributes product engineering and maintained software. Partners bring domain expertise and real workflows. Agree 1–3 issues, a technical lead, data boundaries, scope, budget, and success criteria before building.
AI concept illustration · not an existing facility or product screenshotScope & outputs
Choose 1–3 issues, agreed data sources, configurable reports, simulation, and evaluation deliverables.
Budget & cost controls
Separate discovery, adaptation, testing, and support. Set model/hosting limits and milestone payments.
Handover & next decision
Provide documentation, limitations, evaluation results, and an explicit support or exit plan.
24 A business designed to compound
Useful today. Sustainable for the long run.
Everyday products create the reason to stay. Subscriptions and scoped technical collaborations fund delivery, maintenance, and research. Our aim is an ecosystem that can keep improving because its value and operating economics support each other.
Adoption
Accessible core workflows help individuals and small teams get started.
Expansion
Paid workspace capacity and advanced capabilities support growing teams.
Partnerships
Scoped implementation and support can turn validated pilots into repeatable offerings.
25 A focused way into a broad market
Start close enough to understand the people.
Build with individuals, small teams, educators, and operators in Vietnam. Learn what works in their language and daily reality. Extend proven patterns across Southeast Asia and beyond through local partnerships and adaptable products.
Initial focus
Service businesses, education teams, and knowledge-intensive MSMEs.
Distribution
Product-led adoption, implementation partners, and learning communities.
Expansion gate
Repeatable activation, retained use, support capacity, and locally validated workflows.
26 Explore the subscription
Put a real number next to the first step.
Explore the workspace subscription subtotal using the current public catalog. This is a starting point for a team conversation; implementation, evaluation, taxes, and add-ons are scoped separately.
Loading current prices…
27 Open by design
Open by design. More yours over time.
Our platform source is available under Apache 2.0. We are building toward portable knowledge, replaceable services, and independently operable deployments. Full independence is a direction to prove, while current services still use external infrastructure and models.
Inspect and extend
Read the source, build on documented APIs, and adapt the software under its license.
Keep your knowledge
Develop reliable export, import, and interoperable workflows across the ecosystem.
Choose your future
Work toward more deployment and model options without abandoning useful integrations.
28 Progress through evidence
Connect. Validate. Then expand.
The foundations are here; integration is the work. Strengthen connected products, prove reviewed workflows with partners, then scale trusted coordination. Each stage must leave people with more useful capability and more control.
Now / Strengthen the foundation
Improve connected workflows, product reliability, and access boundaries.
Next / Prove focused intelligence
Validate workforce use cases and supervised coordination with partners.
Beyond / Expand the partnership
Broaden context-aware assistance and research more proactive, permissioned action.
Concept illustration · not measured results
29 The long-term intelligence architecture
One ambition. Several kinds of intelligence.
Our long-term vision brings together reasoning, memory, creativity, learning, and action around a person’s goals. The original Tuturuuu concepts describe complementary research directions—not a claim that a general-purpose autonomous system already exists.
Mira / The relationship
A natural way to think and work with intelligence.
Aurora / The coordination
Context and permissioned action across the ecosystem.
Rewise / The knowledge
Bring relevant knowledge into the right moment.
Nova / The refinement
Explore how intelligence is instructed, evaluated, and improved.
Crystal / The physical horizon
Research a future where assistance reaches beyond the screen.
30 Beyond the screen
From Vietnam. For the world. Toward the extraordinary.
Our horizon reaches beyond productivity: learning, discovery, and eventually assistance in the physical world. We build toward it through dependable tools, shared intelligence, and people who remain authors of their own direction.
AI concept illustration · not an existing facility or product screenshotMira / The relationship
An approachable partner across the ecosystem.
Connected intelligence / The foundation
Context, knowledge, evaluation, and orchestration working together.
Beyond software / The horizon
Explore physical-world assistance only as safety and research maturity allow.
31 Evidence & references
Big ambitions deserve traceable evidence.
The statistics in this deck describe the world around Tuturuuu. They are not Tuturuuu performance results. Read each source with its date, sample, and methodology; our strategy is an interpretation of those signals.
- 01Stanford HAI · AI Index 2026 ↗
Reports 2025 organizational AI adoption at 88% of surveyed organizations; this is survey evidence, not a census of all businesses.
- 02Microsoft · Work Trend Index 2026 ↗
15× growth in unique active agents on Microsoft 365 Copilot Agents and SharePoint, measured in rolling 28-day windows, March 2025–March 2026. Vendor telemetry, not all agents worldwide.
- 03World Economic Forum · Future of Jobs 2025 ↗
Employers expect 39% of core skills to change by 2030. The broader survey covers over 1,000 employers across 55 economies; this is an expectation, not an observed outcome.
- 04OECD · Generative AI and the SME Workforce (2025) ↗
Late-2024 survey of over 5,000 SMEs in seven countries: 31% use generative AI; 65% of users report improved employee performance. Self-reported, not a causal trial or ASEAN-wide estimate.
- 05Anthropic · Trustworthy agents in practice (2026) ↗
Primary developer discussion of agent permissions, oversight, and prompt-injection risks. Referenced as design context, not independent validation of Tuturuuu.
- 06Tuturuuu · Platform source and license ↗
Public source, Apache 2.0 license, and product implementation. Code availability does not imply every component is ready for independent deployment.
32 Build the next era with us
Own your technology. Expand your possibilities.
We are building toward an open, independently operable ecosystem and an extraordinarily capable assistant within it. Bring a meaningful problem, a research question, or a team ready to build. Help us make that future useful—and make it yours.
AI concept illustration · not an existing facility or product screenshotFor people
More space to create.
For teams
More confidence to grow.
For partners
A foundation to build on.