Vendor side
Implementation specialist at Orange Logic — standing up DAM, training operators, and living in the gap between what the product can do and what production actually needs.
DAM · Airtable · AI · Workflow
The best process
is no process.
Nextlinq designs digital asset programs, Airtable systems, AI enablement, and lean workflows for studios, brands, and production teams. We delete steps before we automate them. We automate before we add staff AI.
DAMLibraries, metadata, and handoff
AirtableBases, interfaces, automations
AI enablementStaff AI on your real workflows
WorkflowDelete the step, then the tool
The best part is no part.
Streamline first. Automate second. AI last — and only on work that still needs a human in the loop.
The best process is no process.
Experience
Both sides of the table
Jack has implemented DAM as a vendor specialist and run it from the client chair — so the advice is not theoretical.
Client side
Hands-on DAM, asset, and production-ops work with brands and institutions. The marks below are teams we have sat with — not a logo wall we rented.
Clients include BBC, WWF, Blizzard Entertainment, Synchrony Financial, United Nations, UNICEF, Vans, Timberland, Men’s Wearhouse, Jos. A. Bank, Moores, and Liberty Mutual.
Services
Four practices, one operating picture
DAM without ops becomes a dump. Airtable without asset rules becomes another spreadsheet. AI on a bloated process just hallucinates faster. We strip the work down, then build only what remains.
DAM consulting
Digital asset management for photo, video, and brand libraries — informed by Orange Logic implementations and years on the client side. We map how assets are created, named, approved, and reused, then design the taxonomy, metadata, and handoff so producers, retouch, and marketing pull the right file the first time.
Airtable consulting
Production-grade Airtable: schema that stays unique, interfaces people will actually use, automations that don’t alias roles, and integrations to forms, mail, and the rest of the stack. Built from real studio and campaign operations — not template bases.
AI enablement
Staff AI on the systems you already run — not a chatbot bolted on the side. We design assistants and automations that search the DAM, read Airtable, draft, route, and stop for human approval. Permissions, PII, and “never invent a field” rules are part of the build, not an afterthought.
Workflow design
Map the real path of a file, a booking, or an approval — then cut it. The goal is fewer handoffs, fewer fields, fewer meetings. Automations and Airtable interfaces exist to remove work, not to document a process nobody wanted.
Tools
Built, not just advised
These are systems we designed, shipped, and still run. Advice is cheap. Production software is the proof.
Studio production OS
Enterprise photo/video production on Airtable: projects by brand and season, studio capacity, crew hold→confirm, talent casting, props, fiscal weeks, and call-sheet automations. Schema stays unique — roles are never aliased.
Look classifier
Classify product images against a category→looks schema (front, back, cuff, lapel…). Results live in a local store, metadata is written into the file (XMP/EXIF), and approved assets export back to the library.
PDP asset pipeline
MAIN/ALT image orchestration for retail PDPs: sequence, swap, revert, CDN invalidation, cloud storage, vendor product-identity mapping, and a Google-auth file drop for production handoff.
Commerce & fulfillment
Live storefront with wholesale catalog sync, background-removed product media, a browser design lab, volume quoting, and an approve-only ops desk. Orders route to blanks, print, decoration, and shipping — then fulfillment writes back to Shopify.
ez-ink.comWholesale catalog tools
SanMar and S&S Activewear product, price, and inventory synced into a local catalog, then exposed as agent tools. Staff AI looks up that catalog without hitting the vendor on every question.
Workflow agents
Assistants wired to the systems you already run — Airtable, Gmail, Calendar, GitHub, Shopify — with permission gates, PII rules, and stop-for-approval on anything that spends, ships, or writes production data.
Also shipped: PTA sponsorship tracker, client marketing sites, custom design-to-order, volume-tier quote tables, image QA / background removal, and Google-auth file drop.
Integrations
How we connect the stack
We do not add a tool because it is popular. We connect the systems the work already lives in — APIs, MCP, automations, and the occasional CSV when that is the honest path.
Commerce
Storefront, catalog, orders, and metafields as the source of truth — not a sidecar spreadsheet.
Production ops
Bases people will actually use. Interfaces, forms, and automations that respect unique role codes.
Google Workspace
Mail, calendar, drive, and identity — used as the operator layer, not a dumping ground.
DAM & assets
Libraries, CDN, metadata in the file, and the path from studio to PDP.
Wholesale & fulfillment
Blanks, print, decoration, and labels — routed from the order, not from a shared inbox.
Agents & MCP
Staff AI that can read and act — with an explicit list of what it may never do.
Shopify
Airtable
Gmail
Google Calendar
Google Drive
Google Cloud
Orange Logic
Akamai
S&S Activewear
SanMar
Pirate Ship
GitHub
MCP
Engagements
How we work
Short, concrete engagements. You keep the bases, the DAM, the agents, and the playbooks.
1. Discover
Inventory the current DAM, Airtable bases, naming, handoffs, and where people already paste work into a chat model. First question: which steps can disappear.
2. Blueprint
Taxonomy, table map, interface plan, and a shorter path than the one you have now. You approve what we will not build — including what the model may never do — before anything is rebuilt.
3. Build & train
Implement schema, views, automations, DAM rules, and staff AI. Train producers and ops so the system survives the next season.
Start
Tell us what is broken
A messy DAM, a base that outgrew itself, a process with too many steps, or AI that cannot be trusted on production data — email a short brief. We will reply with whether we are a fit and a proposed first step.