New · AI Agents Practice

Stop learning 10 AI tools.
Deploy your own AI Agent team.

We design, build and operate custom AI Agent teams for owners, agencies and operators — compressing 30 hours of work into 30 minutes, across research, content, ads, ops and finance.

30 hrs → 30 min
Workflow compression
3–5 hrs
Saved per person / day
1,200 hrs
Saved / year
HK$360K+
Time value / staff
The problem

You already use AI — but you're still doing the work

You know how to prompt. You know the tools. And yet the entire workflow still runs through your keyboard.

😮‍💨
Opening tools yourself
🔁
Prompt-refine loop
🗂️
Organising outputs manually
🤯
Deciding the next step
📉
Reconciling data
🧩
Stitching workflows

The problem isn't that you don't know AI. The problem is that no one taught you how to turn AI into employees.

AI vs AI Agent

Regular AI answers. Agents finish the job.

❌ Regular AI

Prompt-by-prompt

  1. 1You ask a question
  2. 2AI replies
  3. 3You refine and ask again
  4. 4AI replies again
  5. 5Repeat, repeat, repeat
  6. 6You still finish the work yourself
One-shot → disposable
✅ AI Agent workflow

Set a goal, get a result

  1. 1You set the goal
  2. 2Agent decomposes the tasks
  3. 3Agent assigns specialist roles
  4. 4Agents execute the workflow
  5. 5Agent consolidates the result
  6. 6You review and approve
Systemised → compounding, reusable
The agent library

10 agents we've already built and battle-tested

These aren't demos. Every one of them runs in our own business every day — and can be tailored to yours in weeks.

20 min → 30 sec

YouTube → Summary Agent

👤 Input: a YouTube URL

Auto-extracts transcript, analyses and summarises key points, then saves it to your knowledge base for future recall.

Input URLExtract transcriptAI summariseSave to notes
4 hrs → 30 min

Topic Research Agent

👤 Input: a topic

Generates 3–5 keywords, scrapes top 10 videos per keyword, analyses and stores structured insights.

Input topicGenerate keywordsScrape top 10 videosSummariseSave notes
2 days → 30 min

GTM Research Agent

👤 Input: a market or competitor

Analyses competitor positioning, business model, pricing, funnels and outputs a ready-to-execute GTM plan.

Input targetWeb searchCompetitor analysisGap detectionOutput GTM plan
1 day → 1 hr

Content Creator Agent

👤 Input: topic or rival account

Studies rivals' hooks, formats, cadence and top-performers, then writes on-brand posts and scripts.

Analyse rivalsExtract insightsSet strategyWrite scriptsSchedule
2 days → 30 min

Landing Page Agent

👤 Input: product info

Researches, writes and structures a full landing page with A/B suggestions — deploys to hosting.

Read productWrite copyBuild sectionsA/B ideasDeploy
1 day → 20 min

Automation Builder Agent

👤 Input: describe a workflow

Decomposes steps, designs nodes, wires them in Make.com, n8n or Zapier, tests and launches.

Describe flowBreak downDesign nodesDebugLaunch
2 hrs → 3 min

Ads Optimiser Agent

👤 Input: ad account access

Reads ROAS, CPA, CTR and spend daily, flags best/worst creatives, outputs an optimisation brief.

Connect accountRead dataAnalyseRecommendReport
1 day → 20 min

Deck / PowerPoint Agent

👤 Input: raw material + goal

Structures logic, builds an outline, generates slide-by-slide content and exports a Deck-ready framework.

Input materialStructureOutlineSlide contentExport deck
½ day → 5 min

Invoice & Bookkeeping Agent

👤 Input: receipts or transactions

Extracts amount, date, vendor and category, formats to your accounting sheet and hands off to the bookkeeper.

Upload filesOCR extractCategoriseFormat sheetExport report
Can't hire → build once

AI Advisory Board

👤 Input: a business question

A private council of role-based agents (CFO, CMO, Legal, Product, HR) debate your decision and return a balanced recommendation.

Define rolesInput scenarioMulti-angle debateConsensusRecommendation

…and many more, custom-built to your exact operations.

The ROI

How much can an AI Agent team actually save?

Conservative numbers, per team member — before multiplying across your entire company.

3–5 hrs
saved / day

Repetitive work compressed

1,200 hrs
saved / year

Per person, cumulative

HK$360,000+
time-value / staff

At HK$300 / hour

And that's one employee. Multiply it across your whole team — that's the real leverage.

How we build it with you

From "using AI" to running an AI workforce

Whether we build it for you or train your team to build it — every engagement follows this 6-part arc.

01

Foundation — Mindset shift

Understand the ChatGPT → Agent → Team evolution. Move from one-shot prompting to orchestrated systems.

Before
Ask one, wait one
After
Direct once, ship a set
02

Workflow decomposition

Break real work into automatable steps with clear inputs and outputs — reusable, measurable, composable.

Before
End-to-end by hand
After
Every step reusable
03

Assign roles to agents

Design specialist agents (researcher, writer, analyst, ops) that hand off to each other with structured context.

Before
One generalist prompt
After
A team, each with a role
04

Build with Claude Code & n8n

Use Claude Code, n8n, Make.com and API glue to run agents on schedule, on trigger, and on demand.

Before
Copy-paste to tools
After
Runs while you sleep
05

Guardrails & review

Set approval steps, quality checks and cost caps so autonomous agents stay safe, on-brand and on-budget.

Before
Blind trust or fear
After
Confident, monitored ops
06

Deploy to your team

Roll out to staff with SOPs, training and a shared agent library — the whole company compounds the gains.

Before
One power user
After
Every team member 10×
Engagement packages

Pick the right level for your team

One agent, a team of agents, or an enterprise-wide AI operations layer — same principles, different depth.

Agent Sprint

One high-impact agent, discovered, built, tested and shipped in 2–3 weeks.

From HK$28K one-off
  • 1 workflow / agent
  • Discovery + mapping workshop
  • Built on Claude / n8n / Make
  • Training + SOP handover
  • 30-day support
Talk to us
Most Popular
Agent Team

A retained squad building an entire AI workforce across research, content, ops and finance.

From HK$68K /month
  • 3–6 agents per quarter
  • Agent orchestration & routing
  • Custom knowledge base (RAG)
  • Approval workflows & logging
  • Monthly performance reviews
Talk to us
Enterprise AI Ops

Company-wide deployment with governance, security, integrations and a dedicated Agent Ops lead.

Custom engagement
  • Unlimited agents
  • SSO, audit logs, private hosting
  • Vector DB + internal tools
  • Fractional Agent Ops lead
  • 24/7 priority SLA
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FAQ

Answers before you book a call

Is this a course or a done-for-you service?+

Both. Most clients want us to build and run their agent team (done-for-you). We also run private workshops if you want to upskill an internal ops or marketing team.

Do I need to change my current tools?+

No. Agents plug into what you already use — Google Workspace, Notion, HubSpot, Slack, Shopify, Meta / Google Ads, your CRM and your data warehouse.

Which models and platforms do you use?+

We pick per task: Claude, GPT, Gemini and open-source models on the LLM side; n8n, Make.com, Zapier and custom code for orchestration; Supabase / Pinecone for memory.

How is this different from just using ChatGPT?+

ChatGPT answers questions. Agents complete jobs — they take goals, run multi-step workflows, call tools, hand off between roles and deliver finished outputs on schedule.

Who owns the agents and the data?+

You do. Full IP transfer, self-hosted where required, and every workflow documented so your team can extend it after handover.

Ready to hire your first AI Agent?

30-minute strategy call. We'll map one workflow you can automate this month — free, whether you hire us or not.