Playbooks for running your brand with AI
Guides on AI agents, ecommerce operations, and getting real work done without growing headcount.
Contribution Margin: The Number That Tells You If an Order Made Money
Contribution margin is the money left from a DTC sale after variable costs: product, processing, packaging, fulfillment, shipping, and ad spend. A worked $60 example, why it beats gross margin and ROAS, and the four decisions it should drive.
July 2026 · 6 min readAI Agents for Ecommerce Operations (2026)
The best AI agents for ecommerce in 2026, grouped by what they run: support (Fin, Gorgias, Siena), Shopify-native (Sidekick), growth (Triple Whale Moby, Klaviyo), and operating-layer platforms (VortexIQ, ShopDucky). Pricing, best fit, and autonomy for each.
July 2026 · 7 min readAI Agents for Ecommerce Operations: The 2026 Playbook
What AI agents for ecommerce operations do in 2026: the agent types, which workflows to automate first, ROI benchmarks, and how to deploy them safely with human approvals.
June 2026 · 6 min read
Field notes for operators putting AI to work
Most writing about AI in ecommerce stays stuck at the demo stage. We write from the other side of it: brands running live storefronts, ad accounts, support queues, and reconciliation on real revenue. Every guide here comes from the same question our customers ask, which is what to delegate to an AI employee first, how to keep a human in the loop, and how to measure whether it actually paid off.
Expect specifics over hype: the exact workflows to automate before you scale headcount, the integrations that carry the most weight, and the guardrails that keep autonomous agents from doing anything you'd regret. If you run a DTC brand and you're tired of vendor slide decks, this is written for you.
AI agents in practice
How autonomous agents handle real tasks, from Shopify updates to Meta Ads analysis, and where they still need a human review.
Ecommerce operations
Support, inventory, logistics, and finance reconciliation, and which of these to hand off to AI before you hire.
Tooling and integrations
Connecting agents to the stack you already run, so they act with your data instead of a generic model's guesses.
Approvals and guardrails
Keeping people in control: the checkpoints, permissions, and review steps that make agent autonomy safe to ship.