Our Work
We don’t pitch theory. Here’s a production system we built, own, and run every single day — the same class of automation we deliver to clients.
Case Study: The Content Factory
An autonomous publishing engine running end-to-end on AWS. It researches a topic, writes the article, illustrates it, and publishes to this site’s blog — on a schedule, with no one at the keyboard. A human reviews; machines do the rest.
Research
A scheduled Lambda gathers source signals and drops a structured brief into S3.
Event
The new brief lands in the bucket and wakes the editor engine automatically.
Claude AI
The article is drafted: SEO title, meta description, tight body copy.
Imagery
Header and inline artwork generated to match the article’s theme.
WordPress
Posted via REST API with media attached, archived to S3 for the record.
Case Study: NeverMiss AI
The Phone Safety Net for the trades, built on Amazon Connect and AWS. It stays out of the way while your team answers like they always have, then catches the calls headed to voicemail, books the routine work, and pages a live tech the moment it hears a real emergency. Your people take every call they can; the machine takes the ones they can’t.
Your Line First
Every call rings your people exactly like today, and the engine wakes only for the busy line, the empty desk, or the closed shop.
Amazon Connect
The call that was about to hit voicemail is answered instantly, with that business’s greeting, voice, and playbook loaded from DynamoDB.
Speech AI
A natural speech-to-speech conversation with sub-second replies works out what happened, how urgent it is, and where the caller is.
Smart Dispatch
Routine jobs book straight into the calendar, while true emergencies page the on-call tech by SMS in seconds with name, address, issue, and callback number.
Audit Trail
Every call is recorded, transcribed, and PII-redacted, and each job lands as a structured work order with zero manual data entry.
Case Study: The Lead Finder
An autonomous prospecting engine powered by Claude and live web search. It finds real businesses in any niche and city, proves they’re thriving, spots the gaps they’d pay to fix, and returns a call-ready sheet with a personalized opening line for every lead. The machine builds the list; a human makes the calls.
Research
Claude sweeps live search results and directories for operating businesses in the target niche and city.
Fit Score
Every business scored 1–10: strong reviews and busy crews, but a stale blog or calls going to voicemail.
No Guessing
Anything the engine can’t confirm comes back blank — never invented. A list you can dial with confidence.
Contact Scrape
Each lead’s own website is read for the emails and phone numbers the business itself publishes.
Call Sheet
A ready-to-dial CSV: contacts, pain signals, and a personalized opener for every single lead.
Why it matters
Every piece is serverless or self-hosted on AWS: Lambda functions for compute, S3 events for orchestration, Secrets Manager for credentials, Terraform for the whole footprint. No subscriptions to content tools. No agency retainers. It just runs.
The stack we run
Want a system like this working for you?
This factory took days to build, not months — and it’s one example of what disciplined automation looks like.