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Kairos Craeft

A calculator that turns "you should visit your parents more" into an exact, unavoidable number.

Sacred Death Collective case study thumbnail

## The Challenge

The Sacred Death Collective's core message — sit with mortality instead of flinching from it — is easy to say and hard to make land. It needed a way to make the abstraction of "time is limited" concrete enough that a visitor actually feels it, not just reads it.

## The Build

A standalone calculator, linked from the SDC site, that combines country-level life-expectancy data with how often someone actually visits to produce one blunt number — "X more times to see your parents," or "X more sunsets" if you're asking about yourself — delivered with a deliberate, paced reveal animation rather than an instant result. It also captures an optional six-month check-in reminder by email, turning a one-time gut-punch into a follow-up touchpoint.

## The Result

A shareable, fully on-brand interactive tool that converts SDC's philosophy into a two-minute experience, with lead capture and analytics tracking built into every calculation and every reminder signup.

Try it yourself: <a href="https://www.sacreddeathcollective.com/timewithyourfolks" target="_blank" rel="noopener noreferrer">Time with Your Folks</a>.


Sacred Death Collective

Two systems, one client: an AI reading engine that synthesises five self-discovery frameworks into one report, and a guest portal that replaced spreadsheet-chasing for every retreat.

## Inner Map — an AI-synthesised self-discovery reading engine

### The Challenge

Taozen wanted to offer guests a genuinely personal reading — astrology, Human Design, Gene Keys, Enneagram, MBTI — but synthesising five systems into one coherent, on-brand report by hand doesn't scale past a handful of people. Off-the-shelf reading generators produce shallow, template-y output that reads generic and doesn't hold Taozen's voice.

### The Build

An AI reading engine deployed on Vercel and embedded straight into the Taozen Webflow site. One shared, book-grounded knowledge base feeds two routes: an instant on-screen version for browsing the site, and a richer async version delivered by email as a branded PDF, with a hidden "deep mode" that upgrades the model for guests who want more depth. A convergence layer cross-references all five systems so the report reflects real per-person patterns instead of stock zodiac copy.

### The Result

Guests get a personalised reading in minutes on-screen, or a full branded PDF report by email shortly after — all running off one knowledge base kept cheap to run through prompt caching and selective content injection, so cost per reading stayed low as the system grew deeper across five-plus shipped releases.

Try it live: <a href="https://www.taozenfamily.com/inner-map?im=deep" target="_blank" rel="noopener noreferrer">Taozen's Inner Map</a>.

## Retreat Onboarding Dashboard

### The Challenge

Every retreat meant manually chasing guests for signatures, health forms, and payments across spreadsheets and email, while mentally tracking tiered pricing, early-bird and ad-hoc discounts, returning-member exemptions, and multi-installment plans by hand, per guest, per retreat.

### The Build

A guest portal and admin dashboard built on Next.js and Supabase. A single domain engine encodes every pricing and checklist rule — deposit/balance splits, room pricing, discounts, unique payment references, returning-member skips, installment plans — so each guest's checklist and payment amounts generate themselves correctly. The admin board gives the team one guest-by-step grid across every retreat with overdue flags, while each guest gets their own portal showing live progress and exactly what they owe.

### The Result

The onboarding logic that used to live in someone's head now runs as one accountable system, with real guest data behind proper access controls — no client-side key can read the tables, everything goes through a server-only service role with page-level allow-listing. The core engine and dashboards are live in production; automated emails, payment auto-matching, and e-signing are the next phases, already shaped into the data model.


Taozen

An AI audit of a solo coaching practice that found the admin quietly eating her week — and mapped the fastest way to get it back.

## The Challenge

Julia runs a solo transformational coaching practice, about a year and a
half in and in the process of winding down the freelance writing work
she used to do alongside it. Her stack was already AI-heavy — Claude and
ChatGPT, Zoom AI Companion running a custom-trained summary template,
Fireflies for transcription — but none of it talked to the rest of her
workflow. After every one of her 9 to 11 weekly client calls, she was
manually copying the Zoom AI summary into that client's Google Doc,
reformatting it, then copying her own follow-up actions a second time
into a separate actions doc. Her own to-do list, meanwhile, lived across
Apple Reminders, a paper notebook, and a four-page PDF she printed out to
cross items off by hand — Todoist felt overwhelming, Notion felt too slow
in the browser, and nothing had stuck.

## The Build

The assessment call surfaced three concrete opportunities, now being
scoped into a build: a single Claude-built dashboard to capture and
centralize her to-dos in one place instead of the Reminders/notebook/PDF
patchwork; an automated client onboarding flow — contract, intake form,
WISE payment tracking — so new clients move through setup without her
chasing signatures; and a lightweight prompt addition to her existing
Zoom AI summary template that flags content-worthy moments from her own
sessions for social and blog use, since her best material already comes
from every call she has.

## The Result

*This case study reflects the assessment findings and proposed build —
the system above hadn't shipped yet as of this call. Once it's live,
swap this section for the real, measured outcome.*

Eliminating the 10-minute manual copy-paste on each of her 9–11 weekly
calls alone puts roughly 1.5–2 hours a week back on her calendar before
the to-do consolidation is even counted. That's time earmarked for two
growth ideas she'd shelved for lack of bandwidth: a short "VIP vacation"
coaching package for travelers, and a lower-cost group program for
clients priced out of her six-month 1:1 container.


Julia Neel Coaching

Three tools Jake already had, stitched into one system that gave him 7 hours a week back for zero extra tool cost.

## The Challenge

Jake runs ILO Studios, a booking-based hot-cold contrast therapy studio. He was losing close to two hours a day to repetitive admin — pulling sales reports by hand, making cold calls with no context on who he was calling or why, and chasing missed opportunities that had already gone cold. All of it was time that could only go to the work only he could do: coaching, selling, running the studio.

## The Build

Instead of building something from scratch, we stitched together three tools Jake was already paying for. Momence Sequences automatically triggers warm-up messages, feedback notices, and win-back offers when a client finishes their intro package. Claude Cowork pulls a daily, pre-formatted call list — with contact history attached — straight from Momence into his inbox every morning. Claude restructured his scattered Notion SOPs into clean, AI-readable documentation for faster onboarding. Full rollout took four days.

## The Result

Jake gets back roughly 7 hours a week, cutting his daily admin load down to 2–3 hours a week total — at zero extra tool cost, since everything runs on subscriptions he already had. The next phases, call-analysis automation and a business-intelligence agent, are already scoped.


ILO Studios

A rigorous vendor evaluation that replaced three separate document bottlenecks with one platform — Alan now saves at least an hour a day.

## The Challenge

Alan runs a real-estate-focused law practice, and three specific workflows were quietly eating more than 20 hours of his week: reviewing inbound lease agreements and contracts for clients — checking for missing or risky clauses, annotating, and summarizing before anything went back to the client — drafting new leases, PSAs and APAs from templates, and writing plain-language summaries and recommendations for CC&Rs and title reports. Every one of them was fully manual, document by document, by hand.

## The Build

This wasn't a custom build. We ran a rigorous vendor search instead: sales calls with multiple legal AI platforms, each one tested against Alan's actual three use cases under the same criteria. Luminance, Harvey AI, and Draftwise were all in the running before we landed on Litera as the one platform that could genuinely handle all three problems in one place, and got Alan fully onboarded onto it.

## The Result

Alan now saves at least an hour a day on the document review and preparation work that used to consume 20+ hours of his week — time back that came from picking the right platform for his exact workflow, not a generic recommendation.


Christenson Law