Automate the work that repeats every week—video editing, prospect research, inquiry handling, and production checks—around the tools you already use. Keep your time for creative direction, customer work, and decisions only you can make.
30 minutes on Google Meet. We map one recurring workflow and identify the part worth testing first.
Hand over the inputs.Get back ready-to-use work.
Capture the raw work
Find the next best move
Hand back ready-to-use work
These systems are based on workflows I use in real projects. Important decisions and outgoing communication always receive human review.
Software engineer
Japanese + English
Human-approved by design
Build the system around the work.
Automation starts with the work that actually takes your time. I look at the tools and handoffs you already use, then build something you can keep running without a forced migration.
Content systems
Turn recordings, notes, and ideas into a consistent pipeline of publishable work.
Sales & lead operations
Find the right people, prepare relevant outreach, and keep follow-up from falling through.
Creative production
Build repeatable AI-assisted workflows for visual concepts, variations, and delivery checks.
Product QA
Use AI like a real customer to expose friction and turn it into an actionable report.
Compare the work before and after.
The cards compare active human work—not unattended AI processing time. Time ranges are rounded to 30 minutes and are estimates; actual time varies with the project, tools, and review needs.
The creator owns the idea, expertise, script, recording, filming, and final decisions. AI assists with script review, retake cleanup, editing, captions, and publishing preparation.
Actual output: finished frames from a captioned handstand tutorial Click to enlarge ↗
Clean narration master
Captioned vertical video
Publishing copy drafts
◷Active human labor only. Unattended AI processing and wait time are excluded.
Before4 hr 30 min–7 hr 30 min
With automation2 hr–3 hr
Human labor freed3 hr–4 hr
The creator approves each stage and performs the final publish action. Displayed times are estimates; actual time varies by project.
View the workflow breakdown＋
◷Active human labor only. Unattended AI processing and wait time are excluded.
Expand themes and expressions, lighten image production and specification checks, and preserve the creator's visual voice.
Published work: 18 representative designs from three LINE sticker sets totaling 40 stickers Click to enlarge ↗
16 expression concepts
Consistency and format checks
Upload-ready package
◷Active human labor only. Unattended AI processing and wait time are excluded.
Before5 hr–8 hr 30 min
With automation2 hr–3 hr 30 min
Human labor freed3 hr–5 hr
The creator retains creative direction and final approval. The showcase contains real artwork from three published sets. Displayed times are estimates; actual time varies by project.
View the workflow breakdown＋
◷Active human labor only. Unattended AI processing and wait time are excluded.
Research prospects, fit, value hypotheses, and individualized drafts. A person approves each message before it goes out; only activity logging and follow-up scheduling are automated.
Actual test screens shown in full: item, verdict, and supporting reasons Click to enlarge ↗
Qualification notes
Individualized drafts
Outreach and follow-up log
◷Active human labor only. Unattended AI processing and wait time are excluded.
Before3 hr 30 min–6 hr
With automation1 hr–2 hr
Human labor freed2 hr 30 min–3 hr 30 min
This is not mass outreach. Follow-up drafts are also reviewed by a person before any message goes out. Displayed times are estimates; actual time varies by project.
View the workflow breakdown＋
◷Active human labor only. Unattended AI processing and wait time are excluded.
Test like a real user, then turn it into improvements
AI runs core journeys with dedicated test accounts and synthetic data, then organizes evidence and reproduction steps. People own scenarios, priority, and product decisions.
Full test-account screens: dashboard, diary entry, and AI consultation Click to enlarge ↗
Test scenario
Evidence-backed findings
Prioritized improvement report
◷Active human labor only. Unattended AI processing and wait time are excluded.
Before2 hr 30 min–4 hr 30 min
With automation30 min–1 hr
Human labor freed2 hr–3 hr 30 min
Testing stays within approved environments and does not use real customer records. Displayed times are estimates; actual time varies by project.
View the workflow breakdown＋
◷Active human labor only. Unattended AI processing and wait time are excluded.
Before
Active human labor only
With automation
Active human labor only
One workflow, working in 7–14 days.
The One-Workflow Automation Pilot takes one recurring job, proves it with sample data, keeps a human checkpoint, and hands it back in a form you can operate.
1recurring workflow
7–14 daystypical delivery
14 dayspost-handover bug support
Pricing depends on complexity. After the free call, you receive a written scope, timeline, and quote. Nothing is charged before you agree.
Review the inputs, decisions, tools, exceptions, and the point where work gets stuck.
Free · Google Meet
02
Build the pilot with samples
Create one automation, a human checkpoint, and a focused test using safe data.
Prove it before sensitive data
03
Handover and operating guide
Receive the working flow, instructions, stop conditions, and a before/after measurement plan.
Handover session + 14-day bug support
Automation that keeps human judgment in the loop.
We decide what AI may do, what a person must review, and how to stop safely before implementation begins. The goal is a workflow you can operate after handover.
↗
Human approval
Important decisions, external communication, and publishing remain subject to human review.
◌
Privacy-safe demos
We can prove the workflow with sample data before sensitive information enters the system.
⌁
Clear handoff
You get the logic, the documentation, and the confidence to run the work after launch.
+
Before / after
We agree on a useful signal up front: time, quality, response, or consistency.
“
The goal is not more AI. It is to return time to the work that matters.
I built these because I needed them.
Running several real projects taught me the difference between a clever AI demo and a system you can depend on on a busy Tuesday. Seiji Flow is where I turn those practical patterns into workflows for other people doing too much themselves.
The starting point is always the work as it is: the messy inputs, the judgment calls, the places where quality matters. Then we make the repeatable parts easier to carry.
Recurring work with a clear input, a set of decisions, and a useful output is a strong candidate: content repurposing, lead research, draft responses, asset checks, reporting, and product testing are all good places to start.
Do I need to be technical?
No. You bring the context and the judgment; I translate the workflow into a practical system and explain what you need to run it.
Will everything run fully automatically?
Not by default. The right amount of human approval depends on the risk and the work. We make review points explicit instead of hiding them.
How much does it cost?
The quote depends on the workflow and tools involved. After the free call, I provide a fixed scope and written quote. Nothing is charged before you agree.
How long does it take?
A one-workflow pilot usually takes 7–14 days. If the work needs multiple systems or complex permissions, the quote will state a clear timeline.
Which tools can you work with?
Google Workspace, browser-based work, forms, spreadsheets, APIs, and video or production tools are all possible. I prioritize fitting the workflow around the tools you already use.
How do you handle data and API keys?
We start with synthetic data and dedicated test accounts. I request only the access needed, and you should never send passwords or API keys through the inquiry form.
Can I run it myself afterward?
Yes. You receive operating instructions, review points, and stop conditions, and we run the workflow together during handover. Ongoing support is optional.
What will you not automate?
I do not fully automate consequential medical, legal, or hiring decisions, untargeted mass outreach, or data collection that violates a platform’s terms.
What happens during the call?
We choose one recurring workflow and map its inputs, decisions, tools, and failure risk. You leave knowing which part is worth testing first.
Make the next week lighter.
Tell me what repeats, where it slows you down, and what “better” would look like.
