Case studies
The body of work,
on the record.
Every entry covers the brief, the constraints, the build, the outcome, and the transferable principle. Search, filter, or read end to end.
The work
What shows up here.
These are the builds Tincture has shipped; most of what appears here is a combination of operating systems, AI tools and engines, content infrastructure, market intelligence pipelines, and education products. Different surfaces, same methodology… figure out what's broken, scope it specifically, build it on the right stack, ship it.
The patterns
Across the archive.
A few shapes return. Each appears multiple times, applied to different categories, different stakeholders, different stages.
Operating systems for early-stage businesses
Revenue infrastructure, pipeline tooling, reporting dashboards, and the daily operating rhythms that turn a product company into a commercial one. These are usually the first engagement, because the system is what everything else plugs into.
AI tools and engines for specific knowledge-work bottlenecks
Claude skills, MCP-connected workflows, and purpose-built AI tools that replace a manual process with something faster, cheaper, and more consistent. Never general-purpose AI, always scoped to a named problem.
Content engines and market intelligence pipelines
Systems that produce, distribute, and measure content at a cadence the founding team can sustain. Market intelligence pipelines that surface competitor moves, pricing shifts, and audience signals without anyone having to go looking.
Education products built for specific learners
Courses, toolkits, and structured learning products designed for a named audience with a named gap. Built to sell, not just to teach.
Free tools published for the practice’s audience
Diagnostics, calculators, and interactive tools released free because they do two things at once: help the user and show the practice’s methodology in action.
The archive
Search by anything, filter by what matters, read in any order.
All case studies
12 agents, ~10 issues/day, ~2 hours saved daily, cost = Claude subscription + ~$40/month VM
A 12 agent ↔ Linear ↔ Notion setup
The Operating layer was wired to Linear and Notion, paired via MCP, so each specialist agent could ship from Linear and mirror state into Notion against its per-persona write contract, with identity that survives across sessions. Stand-up took about 2.5 working days of focused build, over a week of elapsed time. Steady state: 12 agents working roughly 10 issues or tasks a day, about 2 hours of time saved daily plus the context-rebuilding tax that doesn't show up on a clock. The whole thing runs on a Hetzner VM in Helsinki, so agents pick up Linear comments and project emails whether the laptop is open or not. Cost is the Claude subscription plus about $40 a month for the VM.
12 production stages, 11 Supabase tables - replacing WhatsApp and spreadsheets for a bespoke jewellery operation.
Custom AI Operations and CRM Platform
A multi-level access portal platform for Adamas Studio, a bespoke jewellery operation spanning the UK and US, replacing fragmented WhatsApp and email workflows with a structured RFQ-to-delivery system. The platform includes an AI diamond scoring engine, repeat-customer preference learning, AI-assisted CAD and image generation, finance forecasting, and market pricing intelligence - alongside an eleven-table Supabase data model, a 12-stage production pipeline, and integrated Stripe, Sendgrid, Twilio, and blockchain diamond provenance tracking.
30 ICP-shaped threads surfaced a day, drafted into peer-voice comments, for $4.50/month in compute.
A Reddit listening engine for $4.50 a month
Tincture helped itself solve a distribution problem by building a Reddit monitor and content generator that scores threads on four dimensions, alerts in Slack when a thread is worth a reply, and drafts peer-voice comments on demand. The system surfaces around 30 ICP-shaped threads a day across eight subreddits, costs $4.50 a month to run, and treats the only dimension that needs intelligence (ICP fit) as the only dimension that costs money. Everything else is arithmetic. The takeaway is structural: most listening tools fail because they treat listening as search. Reddit isn't a haystack of needles; it's a conveyor belt of decaying opportunities.
A four-agent team for Claude Code that hands work between Designer, Engineer, Reviewer, and Marketer
Multi-Agent Claude Code Starter Kit
Tincture built and shipped the Multi-Agent Claude Code Starter Kit, a four-agent Claude Code team (Designer, Engineer, Reviewer, Marketer) that hands work between each other inside one conversation, with four context files that any project can fill in to ship work through the team. Free download. The kit productizes the specialist-agent pattern into a starting point that drops into any project, replacing the "single Claude conversation trying to be everything" failure mode with structured handoffs between scoped agents.
A founder tool for extracting pain points and commonalities from grassroots conversation
Reddit Signal Scraper
Tincture built the Reddit Signal Scraper as a content-first founder tool: a Python scraper plus a step-by-step guide that helps early-stage founders extract pain points, commonalities, and the actual language buyers use from grassroots Reddit conversation, with structured output designed to drop directly into content briefs, positioning, and product and service development decisions. Built for founders developing products and services informed by what buyers actually say, not what founders think buyers want.
FeaturedA weekly Reddit market intelligence engine across trends, competitor SOV, complaints, and pricing
Reddit market intelligence engine
Tincture built a once-weekly automated market intelligence engine for Adamas Studio that scrapes five lab-diamond subreddits (1-1.5k posts, ~20k comments, 30-40k data points per week), extracts structured entities, and delivers actionable intelligence to a Notion dashboard every Monday. The engine covers four dimensions the brand used to make commercial decisions: trend detection (what's emerging or fading), competitor share of voice (who's getting talked about, why, and how), common complaints (where customers are unhappy with the category, surfaced so Adamas can proactively resolve them in product, content, or service), and qualitative pricing intelligence (where the market is settling, what customers consider fair). Built on Python, PRAW, Supabase, ChatGPT API, and GitHub Actions.
From 200+ company career pages to a tailored application package in under two minutes
Job Board Scraper & Application Engine
Tincture built an end-to-end job application automation system to address a problem the senior talent market has been struggling with in 2026: most senior candidates can't tailor decades of experience for every role they want without giving up half their week, so they either send generic applications (which don't land) or stop applying altogether. The system pairs a daily Node.js + Playwright scraper monitoring 200+ hand-picked company career pages with a Claude-powered application engine that turns any listing into a scored suitability assessment, a tailored CV, and a role-specific cover letter in under 45 seconds, triggered by a single Notion button click. Designed for the senior candidates existing job-hunting tools have left behind.
A four-tool LinkedIn distribution system designed for founders who need LinkedIn to seamlessly work for them.
LinkedIn distribution stack
We built a four-tool LinkedIn distribution stack as a system for founders who need LinkedIn to work - without becoming content creators. The Performance Tracker tells the founder what's working. The Post Generator (Claude-powered web tool turning a rough idea into a ready-to-post draft) ships the next post. The Claude Skill (single prompt file installing the same generation behaviour into the founder's own Claude.ai or Claude Code environment) lets the founder generate posts in their existing tooling. The Playbook (six post formats, a 30-minute weekly workflow, the installable Skill) ties the whole stack together as a methodology. Used together, the four tools turn LinkedIn from a creator-grade exercise into a thirty-minute weekly system.
~$70k of private-client revenue pre-launch
A 1m+ SKU marketplace from concept to launch
Tincture led Product and Operations as co-founder of Adamas Studio's 1m+ SKU lab-diamond marketplace, building the entire commercial and operational backbone from zero across multiple PRD iterations. The marketplace consolidates two vendor APIs into a single live-inventory results page, layered with a Custom GPT CAD generator, an Ideal Diamond finder, and a Reddit-driven market intelligence engine. Roughly $70k of private-client revenue shipped before the marketplace went public, on infrastructure designed for scale rather than launch.
A mobile-first GCSE revival tool with ten subject tracks.
GCSE Revival: A mobile-first revision tool
We built a mobile-first GCSE revision and reintegration tool from scratch for a fifteen-year-old returning to school after extended hospitalization, with ten subject tracks tailored to specific exam boards, a confidence-first design philosophy (week one is reintegration, not content), gamified XP and mastery progression, timed exam-condition exercises, and a PIN-protected parent dashboard tracking session progress and confidence trends.
An SEO + GEO content engine encoded into a Custom GPT, producing dual-optimized tone of voice-tuned articles by default
A dual SEO + GEO content engine for the post-Google search era
We designed and built the dual-optimization content engine Adamas Studio uses to rank on Google AND get cited by ChatGPT, Perplexity, and Gemini, encoded into a Custom GPT that produces education content pre-optimized for both surfaces, with proprietary insight frameworks designed as citation magnets and a 17-point checklist that ships with every article. The strategy was an early-mover bet on Generative Engine Optimization at a moment when most e-commerce SEO was still optimizing for Google alone, and now serves as a reusable template - now using Claude Skills - for any brand operating in an AI-mediated discovery environment.
FeaturedAI-native jewelry imagery, from CAD to lifestyle in a single brief
Kora Image Studio
Tincture built Kora Image Studio, a full-stack AI product visualization application that takes a single jewelry design specification and generates CAD line drawings, photorealistic 3D renders, e-commerce product photography, and editorial lifestyle imagery on demand. The studio replaces the traditional pipeline of CAD designer, product photographer, and lifestyle shoot with a single integrated workflow, running on a dual-model Gemini stack with iteration, transformation, and project management built in. Live and in active use, with a single hero specification now seeding entire product catalogues' visual assets.