zzzBuilder

You Sleep. We Build.

We build Web3 and AI into the systems you already run.

zzzBuilder is a product engineering studio. We take a business that already works and give it wallets, contracts, verification, or an agent that owns the busywork — without rebuilding the system underneath.

night shift22:00 — 06:00
  • 22:04flowpilotrun #4128 started · 61 steps
  • 22:41verifychainanchored 1,204 documents
  • 23:16assetbridgesync ok · drift 0
  • 00:02reportpilotmonthly close · draft ready
  • 01:35loyaltychain2,860 memberships minted
  • 02:58contract-insightreview passed · 0 criticals
  • 04:19flowpilotrun #4128 done · 2 exceptions
  • 05:47deploywindow closed · all green
3 / 8 jobs

  • 0

    full rebuilds

    New capability goes next to the system you already run, never instead of it.

  • 2

    practice areas

    Web2 → Web3 transformation, and AI automation. Nothing outside them.

  • 6

    products shipped

    Each one taken end to end — the problem, the build, and what changed after.

  • 24/7

    after handover

    Agents and integrations keep running once the code, keys, and runbook are yours.

What we do

We don’t sell technology. We sell the change it makes.

Two practices, and we stay inside them. Both start from the same place: the system you already run keeps running.

Practice 01

Web2 → Web3 transformation

Adopt blockchain without rebuilding the business that already works.

Your database, your auth, your operations stay exactly where they are. We add the on-chain layer beside them and connect the two, so ownership and proof become things anyone can verify — while the system your team uses every day does not change.

Wallet Integration
Smart Contract Integration
NFT Membership
Tokenized Assets
Blockchain Verification
Web3 Authentication

Your system today

unchanged
  • Web app & APIuntouched
  • Databasestill the source of truth
  • Sessions & loginkeeps working
  • Internal toolingsame screens
sync

What we add

new
  • Wallet autha second key, not a new one
  • Smart contractsmembership, assets, rules
  • Public verificationanyone can check
Nothing on the left is replaced. The database stays the source of truth, and the chain becomes the place other people can check it.

Practice 02

AI automation

Turn manual work into a workflow that runs itself.

We map the process a person performs today, then hand the mechanical parts to an AI agent that owns the whole run. It stops only where judgement is genuinely needed, so your team reviews exceptions instead of executing steps.

AI Customer Support
AI Report Generator
AI Back Office
AI Workflow Automation
AI Data Processing
AI Internal Assistant

Example — a monthly reporting run

Today, by hand≈ 4h 00m / run
  • Pull exports45m
  • Clean & match60m
  • Cross-check50m
  • Write it up70m
  • Send15m
One agent run≈ 6m + 1 review
  • Collect
  • Reconcile
  • Verify
  • Draft
  • Approve
The agent does not replace the person at the end. It removes the four stages before them, so the only human step left is the one that needs a decision.

Built in-house

We run our own products on the same stack.

Both practices exist as software we operate every day, not as slideware. When we say a system keeps running while nobody watches it, these are the two we are talking about.

Practice 02 · AI automation

zzzAgentv2.4

The workflow runner every automation we ship actually runs on.

A trigger, a graph of steps, and an agent that owns the whole run — stopping only where a person changes the outcome. Voice or text goes in, tools work in the middle, one reply comes out. Anything it cannot decide collects in an exceptions queue instead of failing quietly.

  • Voice and text triggers
  • Model, memory and tools per agent
  • Exceptions queue, not silent failures
  • Night-shift window: 22:00 — 06:00
zzzAgent workflow builder: a Telegram trigger branching to a voice path that downloads and transcribes a file, and a text path, both feeding an Ultimate Assistant agent wired to a chat model, memory and six tools, with a run panel, tool-call counts and a live execution log beneath.
zzzAgent interface

Practice 01 · Web2 → Web3

zzzPaymentv2.4

Invoicing that happens to settle on-chain.

Finance sees an invoice, an amount and a due date. Underneath, each one settles in stablecoin across four chains, the payer covers the gas, and anyone holding the link can verify the payment without asking you for proof. API keys, webhooks and a test mode make it an ordinary integration.

  • USDC · USDT · DAI
  • Base · Polygon · Arbitrum · Solana
  • Gasless — the payer covers fees
  • REST, webhooks and a test mode
zzzPayment dashboard: received and outstanding totals, a new-invoice form for 1,250 USDC, a table of payment requests across Base, Polygon, Arbitrum and Solana with pending, paid and expired states, a to-pay queue, a live activity feed and a shareable QR payment link.
zzzPayment interface

The Invoice reminders, Settlement watcher and Monthly close workflows in zzzAgent run against zzzPayment. We are the first client of both.

Selected work

Six products, and what each one was for.

A screenshot tells you what something looked like. These tell you what was broken, what we built, and what changed afterwards.

  • LoyaltyChain

    Web3

    NFT membership

    Problem

    Membership tiers lived in a database the member could not see, could not move, and could not prove they owned.

    Built

    We mirrored the existing tier logic to on-chain membership tokens. Same POS, same CRM — the wallet became a second key, not a replacement.

    Result

    Members prove their tier anywhere without logging in, and partner venues honour it on the spot.

  • AssetBridge

    Web3

    Ownership verification

    Problem

    Ownership records sat in an internal database, so every counterparty had to take the company's word for it.

    Built

    A sync layer anchors each asset record on chain and keeps the database as the source of truth. Writes stay where they always were.

    Result

    Counterparties verify ownership themselves in seconds, with no integration work on their side.

  • VerifyChain

    Web3

    Document integrity

    Problem

    Certificates and contracts went out as PDFs. Anyone could edit one, and nobody downstream could tell.

    Built

    Documents are hashed at issue and anchored on chain. Verification is a public page instead of a support ticket.

    Result

    A document proves itself. Authenticity checks that took days now take one scan.

  • FlowPilot

    AI

    Workflow agent

    Problem

    Operations ran on people copying data between five tools and remembering which order they went in.

    Built

    An AI agent owns the full run end to end and pauses only at the points where a human decision actually changes the outcome.

    Result

    Routine runs finish overnight. The team opens a queue of exceptions instead of a queue of tasks.

  • ReportPilot

    AI

    Reporting agent

    Problem

    Reporting was somebody's entire Monday: pulling exports, reconciling them, then formatting the same deck again.

    Built

    An agent collects from every source on a schedule, reconciles the differences, and writes the narrative around the numbers.

    Result

    The report is waiting before the meeting, and every figure traces back to the row it came from.

  • Contract Insight

    AI

    Pre-deploy review

    Problem

    Smart contract review happened after deployment, when changes were expensive and sometimes impossible.

    Built

    An AI reviewer reads the contract before it ships and explains what it found in language a non-engineer can follow.

    Result

    Risk surfaces at review time, and the whole team can argue with the finding instead of trusting it.

Product names here are our own. The work is real; client brands are not ours to publish.

How an engagement runs

Three steps, and you can stop after the first.

The map is useful on its own. If it says the honest answer is “don’t do this yet”, that is what it will say.

  • 01

    Map the system

    We read what you already run and mark exactly where a chain or an agent earns its place — and where it does not. You get that map whether or not we build it.

  • 02

    Build alongside

    New capability goes in next to the live system. Nothing gets switched off while we work, and every release lands in a window you choose.

  • 03

    Hand over

    Code, keys, and a runbook are yours on day one of handover. We stay on call while the first cycles run in your hands.

The name

You sleep. We build.

It is not a tagline about working hard. It is how the engagement is scheduled. Cut-overs and migrations happen in the hours your system is idle, so the change you approved on Friday is already running before Monday opens.

  • Releases land in your quiet window, not in the middle of a trading day.
  • You see progress every morning, not at the end of a phase.
  • What we hand over keeps running when nobody is watching it.

A day, from our side

22:00 — 06:00
0006121824
Eight hours a night where your system is quiet enough to change safely. That window is the product.

Next step

Bring the system you already have.

Most of our work starts as a conversation at an event and a link to this page. If something here matches a problem you recognise, the fastest next step is thirty minutes with your real architecture on the screen.

hello@zzzbuilder.comLook at the work first

No deck required · we will read your stack first