Content workflows
An AI-assisted content workflow that drafts, formats, and routes work for human approval — never autopublishing unreviewed text.
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AI automation that earns its place.
I help individuals, small businesses, and technical teams automate business processes with AI — workflows that save real time without turning your operation into an unreviewed AI slot machine.
This isn't an AI-hype pitch. As an AI automation consultant I design useful, repeatable AI workflow automation — agent-assisted processes, validation loops, and small internal tools — with human review built in from the start. The goal is leverage you can trust: less manual work, observable systems, and outputs a person can actually check.
The work
What I can help automate
The repetitive work most worth automating with AI — each one reviewable, not a magic black box.
Research & summarization pipelines
Pull from approved sources, summarize, and cite — so you skim a digest instead of twenty tabs, with links back to the originals.
Internal admin tasks
The repetitive copy-paste between tools — tidying records, prepping data, moving fields — handled by a workflow you can audit.
Customer intake triage
Summarize, classify, and route incoming requests with a drafted next step, so a human responds faster instead of starting cold.
Engineering planning & spec generation
Turn rough notes into structured specs, task breakdowns, and plans an engineer reviews — a faster first draft, not a final decision.
Report generation
Recurring reports assembled from the same handful of sources on a schedule, with the numbers traceable back to where they came from.
QA / review checklists
AI-assisted checks that flag gaps, inconsistencies, and missing fields for a human reviewer — a second set of eyes, not the final sign-off.
Stance
My stance on AI
The principles that decide what I'll build — and what I won't.
- AI should accelerate humans, not hide accountability. A person stays responsible for what ships.
- Every output needs a review path. Human-in-the-loop AI automation is the default, not an upgrade.
- Workflows should be observable and repeatable — logged, inspectable, and the same every run, not a black box.
- Small, useful automations beat giant fragile agent swarms. One reliable workflow earns the next one.
Examples
Example builds
Conceptual examples of how AI agents for business show up in practice — not client case studies.
Blog / article dispatch workflow
Idea in, structured draft out, queued for human edit and approval before anything is published.
AI-assisted project planning pipeline
Rough goals become a scoped plan with tasks and open questions for a human to refine and approve.
Support intake summarizer
Each incoming message gets a summary, a suggested category, and a drafted reply — a person still decides.
Competitor / research monitor
A scheduled watch that gathers, summarizes, and flags noteworthy changes, with sources attached.
Internal documentation assistant
Answers questions from approved internal docs, cites the source, and admits when it doesn't know.
Lightweight agent team for repeatable tasks
A few narrow, well-scoped agents — using AI agents for business tasks that repeat — each with limited permissions and clear handoffs to a human.
Process
How projects usually start
A typical build runs in six small steps, each one validated before the next.
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01
Identify repetitive work
Find the task that happens often, follows a pattern, and quietly eats time every week.
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02
Map inputs & outputs
Get specific about what goes in, what should come out, and what 'good' looks like.
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03
Design a safe workflow
Decide what's automated, what needs approval, and where the off switch and limits live.
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04
Build a small MVP
Ship the smallest useful slice against real examples — a preparer, not an unsupervised actor.
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05
Add review & logging
Wire in human approval on the risky steps and logs you can actually read when something looks off.
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06
Iterate after real usage
Watch it run on real work, then expand only the parts that prove reliable.
Go deeper
Related writing, services & projects
The thinking and the receipts behind this work.
Next step
Let's turn the boring work into a system
Tell me about the repetitive work eating your week. We'll find the first safe slice to automate — with review, logging, and a human in the loop.