AI automation pipelines
Scheduled pipelines that gather, draft, queue for review and publish at a steady pace.
Start a conversationSome work has to happen every day: gathering inputs, drafting, checking, publishing. Doing it by hand does not scale, and handing it to a model with no checks is a risk.
We build pipelines that sit between the two. The model drafts, rules validate, a person approves, and a publisher releases the result on a schedule.
01Deliverables
What you get
- Scheduled ingestion of your sources
- LLM drafting into a review queue, never straight to production
- Deduplication and validation before anything goes live
- A paced publisher that spreads output through the day
- Server-side image rendering where the output needs a visual
- Serverless deployment with monitoring
02Process
How we work
One loop for our products and for client work. Every step is written down.
Specify
We write down the inputs, the output, who reviews it and what must never be published.
Plan
Ingestion, drafting, checks and publishing become separate, testable stages.
Build and review
Each stage is built test-first and checked against the spec by a separate reviewer.
Verify
The pipeline runs end to end on real inputs before it is switched on.
03Proof
Where we already do this
Our own products and notes, open to read.
Product
QuesMoQuestions, answers and daily trivia for friend groups.
Capability
Automation pipelinesScheduled, event-driven pipelines that turn raw inputs into reviewed, publish-ready content.
Capability
Generative media pipelineA shared production pipeline from script to finished episode, with automated visual QA before assembly.
Blog
AI content labelling rules in India: a creator's guideIndia's AI content labelling rules and YouTube's synthetic content label, explained for creators: what counts, what to disclose and a simple checklist.
Blog
LLM evals for small teams: a practical starting pointHow to build LLM evals with a small team: start from real failures, use pass/fail checks, calibrate an LLM judge and gate every prompt change.
04FAQ
Questions
- What is an AI automation pipeline?
- A scheduled system that takes raw inputs, uses a language model to draft or transform them, checks the result and publishes it. People review. The pipeline does the repeat work.
- Does anything publish without a person seeing it?
- Not by default. Drafts go into a queue for review, and a separate publisher releases only approved items.
- What do you build pipelines on?
- Ours run on Python, AWS Lambda, EventBridge Scheduler and DynamoDB. For client work we start from what you already run.
- Where is this running today?
- A pipeline like this drafts the daily trivia and posts for QuesMo, our social app, and releases them at a steady pace through the day.
Work with us
Tell us what you want built.
A short form. We reply to every message about client work.
Contact us