AI agents for marketing & ecommerce
We design, build, and look after custom AI agents for the repetitive work behind your campaigns, content, and communications. Your team does the thinking. Your intern does the rest.
Calibrated to your brand guidelines
Campaign launches
Matching email, ad, and landing page copy from one approved brief, formatted for each channel.
Customer care
Checks live orders, applies approved changes, and confirms the fix.
Identity verified · Confirmation sent
Always-on content
Turns approved messaging into a steady weekly flow of posts for every channel, queued for your review.
ReelIn review
PostIn review
VideoIn reviewUse cases
Three examples from the work we build most often.
We’re launching the spring collection Friday. Turn the brief into email, ads, and a landing page.
Spring launch briefLaunch kit,
ready to review.
Every channel aligned.
Sized to each platform’s character limits and specs.
Checks claims, prices, and tone against your style guide before you see it.
Your feedback updates every channel at once.
Less drafting. One coordinated review.
Handle delivery and returns questions while we’re offline. Escalate urgent cases and flag repeat issues.
Delivery & returns policiesHandled while you slept.
Answers sent. Follow-up has an owner.
Replies using your live docs, return policies, and FAQs, not guesswork.
Flags ready-to-buy and urgent customers, so you know who to call first.
Passes open cases to your team with a summary and a suggested next step.
Your team steps in only when a human decision is needed.
Prepare the jacket listings and launch posts. Check the details against our catalog.
Product catalogProduct content,
ready to review.
Product details checked before publishing.
Converts product specs into search-ready titles, descriptions, and metadata.
Flags missing details and updates listings when stock changes.
Turns new products into social and email drafts, ready for your review.
No more copy-pasting between spreadsheets, Shopify, and social schedulers.
Why trust an agent?
Every draft, answer, and handoff shows its work, so you always know what it did and why.
Every answer and draft draws on your brand files, policies, and product data.
Decide what it handles alone and what needs approval. Exceptions go straight to the right person.
Your intern joins your team’s Slack, Teams, or email conversations, sharing updates and handing over work with the context your team needs.
A low-risk implementation model
We identify your highest-leverage task, test it with your team, and let measurable results dictate the next step.
Your opportunity brief.
Discovery
We map your team’s bottlenecks, evaluate existing tools, and calculate projected time and cost savings before you commit to a build.
DeliverableYour custom Opportunity Brief.
Pilot
We build and integrate your agent, test it on live production cases, and benchmark performance against your baseline while your team gets hands-on.
DeliverableWorking agent, verified results, and team playbook
Launch
We deploy your agent into daily operations, continuously tune accuracy against edge cases, and add new capabilities as your team gains bandwidth.
DeliverableDeployment, ongoing tuning, and expansion roadmap
What clients ask
Your Monster Intern takes on a defined job across your tools: gathering inputs, doing the work on an agreed schedule or trigger, and passing on the result. We assess what your existing tools can already do, then design, build, and look after the workflow your team needs.
You set the rules for what it can do alone and what needs review. We limit permissions and test real tasks and exceptions before launch. Publishing and other sensitive actions can require approval; agreed actions can run automatically. Mistakes are still possible, so we include records of actions and a route to the right person.
It works from your approved sources, such as return policies, brand files, and live order records. If information is missing or a question falls outside its scope, it passes the conversation to your team with context. Testing and review reduce errors, but cannot guarantee every answer is correct.
We measure how the work is done today, then compare time spent, turnaround, and output during the pilot. We include your team’s review time and running costs. If your Monster Intern isn’t delivering enough value, we recommend changes or retiring that workflow.
You own the custom code and prompts we build for you. We document them for your team. Any third-party tools remain subject to their own licence terms, which we set out in your proposal.
Running costs include model and tool usage, any third-party subscriptions, and the support plan you agree with us. API costs are estimated before you commit, with no markup; actual usage may vary. Your proposal sets out the recurring charges and third-party terms before work begins.
Let’s talk
Bring us the repetitive work, slow handoffs, or growing workload holding your team back.
We’ll find where your team loses the most hours and what your Monster Intern could take on. If it’s a strong fit, we’ll outline a pilot.
Book your call
