AI automation● Live
Autonomous AI news platform
A news site that researches, writes and publishes on its own schedule, with no editor in the loop.
Next.jsSupabaseOpenAICron
Case study AI automation
AI automation that runs every day, not a demo that impresses once
We build the kind of AI systems we run for ourselves: content pipelines that publish on a schedule, lead and support responders, document extraction and video generation. Each one has a human checkpoint where it matters and a log you can audit.
Outcomes
What changes for you
- Hours of manual work per week moved to a scheduled pipeline
- Faster first response to leads and customers
- Consistent output with quality checks before anything goes public
Built for: Operations-heavy SMBs, agencies and e-commerce teams.
What we deliver
- Content pipelines: research → draft → quality check → publish
- Lead and customer responders on web chat, WhatsApp and email
- Document and invoice extraction into your systems
- Short-form video generation and multi-platform distribution
- Internal assistants over your own documents
- Monitoring, logs and cost controls on every model call
Commercial model: Fixed-scope build, then optional monthly maintenance.
Process
How an engagement runs
- 01
Workflow audit
We map the task you want gone: inputs, decisions, outputs and where errors are costly.
- 02
Prototype
A working version on your real data within two weeks, so you judge output quality early.
- 03
Production
Scheduling, error handling, human review steps and dashboards. Live in 3–6 weeks.
- 04
Run
Optional monthly care: prompt tuning, model upgrades and cost monitoring.
Related work
Relevant things we have already built
AI automation● Live
Faceless short-form video pipeline
Script, voice-over, captions, render and upload to YouTube, Instagram and Facebook — every day, automatically.
Node.jsFFmpegOpenAI TTSYouTube Data API
Case study AI automationPrivate / NDA
WordPress AI content automation
Research, source validation, drafting and publishing to WordPress — as a configurable workflow.
Next.jsGPT-4oSerperWordPress API
Case study FAQ
Frequently asked questions
Which models do you use?
Whichever fits the task and budget — typically OpenAI GPT-4o / GPT-4o-mini and Anthropic Claude, sometimes DeepSeek for high-volume, low-risk steps. Your API keys, your billing.
What stops the AI from publishing something wrong?
Every pipeline we build has explicit checks: source validation, format checks and, where the cost of an error is high, a human approval step before anything is sent or published.
What does it cost to run?
We estimate model and hosting costs before the build. Most small-business pipelines run on tens of dollars a month in API usage, not hundreds.
Get a quote
Tell us what you need
A written reply from an engineer within one business day — with questions, a rough range, or an honest “we are not the right fit”.
Have a project or a backlog that needs senior hands?
Tell us what you are building. You get a written reply from an engineer within one business day — not a sales sequence.