AI AUTOMATION AGENCY
The capability of an automation agency, delivered by one senior engineer — content pipelines, AI agents and edge infrastructure that ship, and keep running, with direct accountability.
Free introductory call.
A $1,500 diagnostic, credited toward a fixed-price build.
Pull the brand’s inputs and the research the campaign needs.
Draft platform-specific copy and produce the images.
Send images to Slack; revise the rejects on the reviewer’s feedback.
Push the approved campaign to the scheduler and log the run.
START WITH THE TASK
The useful question isn’t whether something can be automated — it’s which part of your process needs judgement, which needs to be bulletproof, and how you’ll know the output is right.
CONTENT PIPELINES
Research, draft, generate the assets and route everything through your review before it ships.
SYSTEMS & INTEGRATIONS
Move data between your apps on a schedule or on events, with the retries and error handling that keep it reliable.
CHOOSE THE RIGHT APPROACH
Good automation starts by ruling out the wrong tool. Some work needs the flexible judgement of an AI agent; plenty is safer as deterministic code; and a little shouldn’t be automated yet at all.
Totals, eligibility rules and other defined calculations need reproducible logic. A language model shouldn’t be the authority for a number you have to stand behind.
Better fit: SQL, typed code or a rules-based n8n workflow, with validation and exceptions routed for review.
When the sequence never changes, there’s nothing for a model to decide — and a deterministic workflow is cheaper to run and easier to trust.
Better fit: A scheduled or event-driven n8n workflow with explicit branches, retries and proper error handling.
No system can invent facts the business doesn’t hold, or resolve who owns a record when that was never decided.
Better fit: Fix the source data and add a proper data layer and validation before any decision is automated.
A consequential action shouldn’t fire just because a model — or a workflow — proposes it.
Better fit: Authenticated approval steps and constrained actions, with the system preparing the recommendation for a person to release.
If the team can’t describe an acceptable result, there’s no sound basis for evaluating what gets built.
Better fit: Run a manual pilot first — gather representative examples and agree acceptance criteria, then automate.
Low-volume work can cost less to handle by hand than to build and maintain a system around.
Better fit: A checklist, template or small utility now — revisit automation when the repeated work justifies it.
A SYSTEM YOU CAN INSPECT
One build, end to end. This n8n system researches, writes platform-specific copy, generates images and schedules the campaign — routing images to Slack for approval and revising the rejects on feedback. It’s the kind of pipeline we ship and then keep running.
Read the full case studyThe brand brief, the target platforms and the campaign goals.
Research, per-platform copy and generated images.
Human sign-off on images, with feedback, in Slack.
Approved assets stored, then scheduled out through Late.
BEFORE IT GOES LIVE
Every system we ship needs acceptance criteria, failure examples and an operating plan — not just working code.
EVALUATION
Run it against representative inputs, known-good answers where they exist, and the messy or misleading cases that break things.
HANDOVER
Your team gets a way to see what the system decided, review the exceptions and adjust the workflow without waiting on me.
WORKING TOGETHER
The free call is an introduction. The diagnostic is the paid engagement that defines the build.
01 / DIAGNOSTIC
Identify the task, tools, data access and approval points. Agree the evaluation cases and a fixed-price implementation scope.
$1,500Credited toward the build02 / IMPLEMENTATION
Implementation, checks with representative data, deployment and documentation on accounts you control.
From $5,000Fixed price, agreed before implementation03 / ONGOING SUPPORT
Optional monitoring, fixes and improvements from the person who built the system. The support scope is agreed separately.
Scoped to your systemOptional after launchGO DEEPER
Read the Claude workbook, or trace a real build — a document-processing workflow that turns financial records into queryable data.
Straight answers on scope, cost, ownership and how a multi-part build actually runs.
Bring the process that’s eating your team’s time and an example of the output you need.