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Automation for education content teams running catalogs, programs, and student journeys.

Course descriptions, program landing pages, student-facing personalization — all driven by your catalog data.

  • 57+projects shipped
  • 2.5M+organic traffic managed
  • 14 dayskickoff to live system
workflows/education.n8nRunning
  • 01

    Signal in

    GSC / Notion / your data

  • 02

    Claude · think + draft

    your tone, your facts

  • 03

    Publish

    WordPress, Webflow, your CMS

Why education teams need automation.

Education content is data-rich but content-poor. The catalog has every course, every prerequisite, every learning outcome. The website has a generic landing page and a PDF brochure from 2021. The gap is a content problem with a structured-data solution.

Universities, online learning platforms, and bootcamps all face the same pattern: catalog is the source of truth, content is downstream, and the team doing the downstream work is too small to keep up. The win is building the pipeline that takes catalog updates and propagates them to every content surface automatically.

  • Course descriptions are 5 years old

    Curriculum updates yearly. Course descriptions update never. Prospective students read content that doesn't match what they'll experience.

  • Program landing pages don't match the catalog

    Marketing wrote the program page. Academic affairs updated the catalog. Neither side knows the other changed. Prospective students get conflicting info, churn out of consideration.

  • Student personalization is a wishlist, not a system

    Personalized content is on every roadmap, has been for 5 years. Without automation, it stays on the roadmap forever.

  • Faculty bios are scattered across PDFs

    Each department has its faculty page. Each one is formatted differently. New hires get listed in some places, not others. Searching for a specific faculty member feels like an archaeological dig.

Want this built for your team?

Book a call and walk through what we'd adapt for your stack.

What we use in education.

  • n8n

    Workflow orchestration

  • Claude

    Reasoning + writing

  • Airtable

    Structured data

  • WordPress

    Publishing

  • Notion

    Editorial backbone

  • Ahrefs

    SEO intelligence

  • GSC

    Search Console signal

  • GA4

    Analytics signal

What education teams get wrong.

  • Your course catalog is your best content asset. Treat it that way.

    A clean course catalog drives 60% of organic search traffic for most universities. Most universities treat it as an admin database. Flip that — catalog is content, content is search engine, search engine is enrollment.

  • Personalization at scale is a content problem, not a tech problem

    The tech for personalized course recommendations has existed for a decade. What's missing is the content variants. We build the systems that generate the variants — career-focused versions, prerequisite-aware versions, locale-specific versions — from the same catalog source.

  • Stop writing program pages by hand

    Program pages are a template + variables: title, outcomes, faculty, schedule, cost, testimonials. Automate the template render. Spend your content team's hours on the testimonials and stories — the parts that don't template.

Four weeks from audit to handover.

  1. $ busyless audit --stack

    • Notion41 ACTIVE PAGES
    • n8n3 WORKFLOWS · 1 STALE
    • Slack12 CHANNELS MAPPED

    3 automation opportunities ranked.

    Step 01 · Week 1

    Audit + mapping

    Stack review. We map your content ops end-to-end and lock the one automation that pays back the fastest.

  2. $ busyless build --system

    • TriggerNOTION DB
    • AgentCLAUDE · RAG
    • ApprovalSLACK
    • PublishWEBFLOW

    Live on staging.

    Step 02 · Week 2

    Build

    I ship the system on n8n + Claude + your CMS. You watch the Loom; we review checkpoints every 48h.

  3. $ busyless test --quality

    • researchPASS
    • draftPASS
    • publishPASS

    0 errors. 12 edge cases caught.

    Step 03 · Week 3

    Test

    Quality gate, edge cases, and a hand-off run with one of your editors. Anything off gets fixed inside the window.

  4. $ busyless handover --doc

    • Loom12 MIN WALKTHROUGH
    • Runbook24 SECTIONS
    • Credentials1PASSWORD

    2 weeks support included.

    Step 04 · Week 4

    Handover

    Workflow JSON + docs + a recorded walkthrough. You own the code; I'm one Slack away.

One operator beats the alternatives on every axis that matters.

No account managers, no junior hand-offs, no 9-month onboarding. The person scoping the build is the one shipping it.

Busyless
Agency
Full-time hire
DIY
Time to first system
14 days
6–10 weeks
3–6 months
Whenever
You own the code
Yes
No
Yes
Yes
Per-automation cost
$2,250
$25k+
$120k+/yr
Your time
Account managers
No
Yes
No
No
Stack depth (n8n / Claude / AirOps)
Native
Outsourced
Hiring lottery
DIY
Ongoing maintenance
Optional
Retainer
Salary
Yours
Walks away if it isn't working
Yes
No
No

Need something the table doesn't cover?

Custom scope, retainer, or a one-off prototype — say what you need on the call.

Talk to me

Pricing

Three ways in. All priced upfront.

  • Audit

    $1,500one-off

    Find the bottleneck. Get a 30-day automation roadmap.

    Start with an audit
  • Build

    $2,250per automation

    One custom automation, shipped in 14 days.

    Scope a build
  • Fractional

    $7,650per month

    Content marketing strategy + automation, monthly.

    Book a strategy call
Need the long-term retainer or the lightweight mentorship option? See full pricing

Map automation across your education stack.

30 min. We walk your content ops, lock the bottleneck, and pick the one education automation that pays back fastest. No qualification form.

Direct calendar

Book a 30-min intro call

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Calendar busy?

Send a note instead.

One sentence on the bottleneck. I'll reply within 24h with a sharper next step.

Or send a note

Frequently asked

  • Will it work with our SIS (Banner, Workday Student, etc.)?
    Yes — most modern SISes expose APIs or scheduled exports. We pull course + program data, route through Claude for description generation (with academic-tone guidelines), human-approve, and push to your CMS.
  • How do you handle accreditation language?
    Accreditation-sensitive language goes through a stricter review pipeline with academic-affairs sign-off before publish. The system flags anything resembling accreditation claims and routes them to the appropriate reviewer.
  • Can it generate content in multiple languages?
    Yes — Claude handles 20+ languages well. We pair the model with locale-specific style guides + a native-speaker review gate for high-stakes pages. Most international university content runs in 4-6 languages on the same workflow.