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Achieving 10x Productivity Through Human-Agent Collaboration

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Frank Luong
Founder & CEO, FAOSX | CIO 100 Asia 2025 | AI & Digital Transformation Leader

One of the most common questions I get is: "Is 10x productivity real, or just marketing hype?"

Fair question. Let me show you how we achieve it at FAOSX using FAOS itself.

The Traditional Model

In a traditional software company:

  • 1 Product Manager writes requirements
  • 2-3 Developers write code
  • 1 QA Engineer tests
  • 1 DevOps Engineer deploys

To build a new feature, you need coordination across 5+ people, each with their own schedules, meetings, and priorities.

Result: Features take weeks to ship.

The Agentic Model

With FAOS, here's how we work:

  • 1 Human (me) provides strategic direction
  • 50+ AI Agents handle execution across all roles

A Real Example

Last week, I wanted to pivot FAOS from a SaaS subscription model to a workshop-driven services model.

Traditional approach would require:

  • PM to update PRD (2-3 days)
  • Marketing to update website (1-2 days)
  • Sales to update playbooks (1-2 days)
  • Finance to update pricing (1 day)
  • Legal to review contracts (3-5 days)

Total: 2-3 weeks with coordination overhead.

What Actually Happened

Using FAOS:

  1. Strategic Decision (me, 30 minutes): Decided on pivot based on customer feedback
  2. PRD Updates (PM agent, 1 hour): Comprehensive PRD section updates
  3. Website Updates (Dev agent, 2 hours): Marketing site updated and deployed
  4. Sales Materials (Analyst agent, 2 hours): Sales playbook, deck, and case study template updated
  5. Documentation (Tech Writer agent, 1 hour): Docs site updated for consistency

Total: 1 day from decision to fully deployed and documented.

How This is 10x

MetricTraditionalWith FAOSMultiplier
Time2-3 weeks1 day15-20x faster
People5-7 people1 person5-7x leverage
CoordinationMultiple meetingsZero meetings∞x efficiency
Output QualityVariableConsistently highStable

The Secret: Graduated Autonomy

I don't micromanage the agents. I set the strategy, and they execute within defined guardrails:

const autonomyLevels = {
strategic: 'Human', // I make the call
tactical: 'L3 Autonomous', // Agents execute
operational: 'L4 Proactive', // Agents anticipate
};

This means:

  • I focus on what and why
  • Agents handle how and when

The Limitation: Still Requires Human Judgment

Let me be clear: AI agents don't replace human strategic thinking. They amplify it.

I still make decisions about:

  • Product strategy
  • Customer relationships
  • Market positioning
  • Business model pivots

But I don't spend time on:

  • Writing documentation
  • Updating 15 different files
  • Coordinating across functions
  • Reformatting content

Try It Yourself

Want to experience this yourself? Request a workshop and we'll show you hands-on how to achieve 10x productivity with your actual use case.


Frank Luong Founder & CEO, FAOSX Using FAOS to build FAOS 🚀