QS Automate
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A Quantum Symbiote Service · QTB-SVC-002

Multi-step automation,
wired into your real stack.
Doesn't drop work silently.

Make.com, n8n, or Zapier — production-grade workflows with error routing, retry logic, and a human queue for failures. AI-aware, observable, and built to survive platform updates. No brittle selectors. No magic-string field mappings.

Turnaround
7 days · 72-hour rush available
Platforms
Make.com · n8n · Zapier
AI-aware
Claude / OpenAI / open-source LLMs wireable
Support
30 days, credential rotation included
80+ → 8
Daily inputs filtered automatically — typical pipeline
40%
Reduction in misrouted work after error branches wired
0
Brittle selectors or magic-string field bindings
100%
Of workflows ship with a documented failure runbook
The problem

Most automations work — until they don't. Then nobody can tell.

Someone wired the pipeline a year ago. It runs. Except when it doesn't — and when it doesn't, work disappears silently. The Slack alert that was supposed to fire didn't. The handoff that was supposed to land didn't. The team finds out from a complaint two weeks later.

The original builder is gone. The credentials are about to rotate. Nobody knows which step is brittle until the platform updates and the whole thing breaks.

Production-grade automation is different work. Error branches that route failures to a human queue. Retry logic that knows the difference between recoverable and unrecoverable. Documentation a teammate can read at 2 AM.

That's what we build. Not "an automation" — an automation your team can trust without watching it.

The build process

Five stages, one human gate at each end.

Standard cycle is 7 days. Rush 72 hours. The slow part is testing against real data — and we don't skip it.

Stage 01

Discovery

Map source systems, destinations, trigger conditions, and the failure cases you've already hit. We name the moving parts before we build them.

Stage 02

Platform & architecture

Make.com vs n8n vs Zapier recommendation if you're undecided. Diagram of triggers, branches, destinations, and error routes — agreed before wiring starts.

Stage 03

Build & wire

Workflow assembled in your account, credentials installed, error branches written, AI steps wired with prompt versioning and fallback handling.

Stage 04

Real-data dry run

Run against real inputs. Edge cases surfaced. Failure modes verified. The error runbook gets written from what actually happens, not what we guessed.

Stage 05

Handoff & support

You watch it run. Sign off on edge cases. Take ownership. 30-day support covers credential rotation and platform-update fixups.

  • D1
    Live workflowInstalled in your account, your credentials, your data. We do not host your automation.
  • D2
    Architecture diagramVisual map of trigger sources, routing branches, destinations, and error paths.
  • D3
    Credentials checklistEvery credential the workflow needs, where it's stored, when it rotates, who has it.
  • D4
    Error runbookEvery failure mode, what it looks like, and the recovery steps for your team.
  • D5
    Recorded handoff walkthroughPremium tier — a video your team can re-watch six months from now.
  • D6
    30-day support windowCredential refresh help, platform-update fixups, edge cases. Included every tier.
What we don't build

Brittle automation, dressed up.

If a workflow depends on a CSS selector that changes monthly, or a Google Sheet column position, or a manually-edited field map — we redesign it before we ship it. The platform's structured triggers exist for a reason.

The other thing we don't build: automations without observability. Every shipped workflow logs successes and failures somewhere you can find them — at minimum, a Slack channel or email digest. Silent failure is the most expensive bug.

"Silent failure is the most expensive bug."
Pricing

Three tiers. Fixed price. No surprises after kickoff.

Pick by complexity. Single trigger and destination at Entry. Multi-trigger with branching at Standard. Multi-workflow architecture at Premium.

Entry
Single trigger, single destination, up to 5 steps. Standard error handling.
$200
Fixed · 7-day delivery
  • Live workflow in your account
  • Architecture diagram
  • Credentials checklist
  • Standard error handling
  • 1 revision pass
  • 30-day support window
Start an Entry build
Premium
Multi-workflow architecture (up to 3 linked scenarios), custom webhook receivers, observability dashboard.
$1,500
Fixed · 10-day delivery
  • Everything in Standard
  • Up to 3 linked workflows
  • Custom webhook receivers
  • Conditional routing logic
  • Monitoring dashboard + alert thresholds
  • 60-day support + recorded handoff video
Start a Premium build
Add-ons (any tier)
Rush delivery (72 hours)+$200
Custom webhook receiver on your stack+$250
Migration from brittle existing automation+$300
Self-hosted n8n install + config+$400
Monitoring dashboard with alert thresholds+$200
Extra revision round+$100
Case · QS-CASE-004

Multi-platform job discovery,
80→8 daily filtering.

80+
Daily listings reviewed manually — before
8–12
Pre-scored actionable candidates — after
40%
Connect-credit spend reduction in month 1
The setup

An agency owner manually reviewed 80+ job listings per day across three freelance platforms — Upwork, Indeed, and a niche aggregator — with no consistent scoring methodology. High-EV opportunities buried in low-relevance volume. Connect credits burning on low-probability bids.

The pipeline pulls listings on a schedule, normalizes them into a shared schema, and runs each through a bid-economics scoring model — expected contract value, win probability, platform fee, delivery capacity against current load.

Each morning: a ranked shortlist of 8–12 scored opportunities, with a draft proposal pre-loaded for each. Bid-to-close time: 45 min → 12 min. Win rate up while credit spend dropped 40%.

QTB-SVC-002 · Client identifier withheld · Verifiable references on request
Start an automation

Tell us about the workflow. We'll recommend a platform before the timer starts.

Submit the form. You'll get a scoping call link within 24 hours and a tier + platform recommendation before any payment is taken.

Submitting routes to [email protected]. Scoping call within 24 hours.
Frequently asked

Common questions before kickoff.

Make.com vs n8n vs Zapier — which should I use?
Depends on your stack. Zapier wins for fast no-code with the widest app library. Make.com wins for branching logic and operations-per-dollar. n8n wins if you want self-hosted and zero per-run cost ceiling. We'll recommend on the discovery call based on your volume, budget, and infra preference.
What about AI agents in the workflow?
Native. We wire Claude, OpenAI, or other LLM calls as steps inside the automation — with prompt versioning, structured output parsing, and fallback handling so an AI hiccup doesn't break the whole pipeline.
Will it survive when the source app updates?
Built that way. We avoid fragile selectors and magic-string field mappings, use the platform's structured triggers wherever they exist, and document the points most likely to drift so you know what to check first when something breaks.
What if I want to switch platforms later?
Migration is an add-on at $300. We document the workflow architecture in a platform-neutral diagram on every build, so the migration is a port, not a rebuild from scratch.
Who owns the workflow after delivery?
You do. It lives in your account, on your credentials, on your data. We do not host your automation. After the 30-day support window, nothing in your workflow depends on us to keep running.