AI content generation

What it is

Generation pipelines that turn a structured input — a product, a brief, a dataset — into publishable content in your voice, with review built into the workflow.

Why businesses need it

Content demand scales with catalogue size and channel count. Manual writing cannot follow, and unreviewed AI output damages the brand it was meant to feed.

What MIWEBX delivers

• Product descriptions, category copy and SEO briefs at catalogue scale
• Blog, newsletter and social content systems
• Ad variant generation with review and approval states
• Localisation and tone variants from one source
• Editorial workflow: generate, review, publish, measure

Core features

• Brand voice encoded as rules and examples, not a prompt in a chat window
• Structured inputs so output maps to real fields
• Human review queue with rejection reasons feeding back
• Duplicate and template-drift detection
• Publishing integration with the CMS or channel it feeds
• Performance data returned to the pipeline for the next round

Technical capabilities

• Provider-agnostic generation layer, with the model chosen per content type and budget
• Structured output validated against the target schema before it can enter the review queue
• Voice encoded as retrievable examples and rules, versioned alongside the pipeline
• Batch runs with per-item retry, idempotency keys and a dead-letter state for failures
• Near-duplicate and template-drift checks run across the whole output set
• Editorial rejections captured as labelled examples the next run can draw on
• Prompt and model versions recorded against every published piece for traceability

How we build it

• Map the editorial chain and pick the content type with the clearest input
• Define the structured input and the exact field the output has to fit
• Build the voice guide from copy the brand has already approved
• Run a pilot batch and grade it against work an editor signed off
• Add the review queue and publish path, capturing rejection reasons
• Watch quality, duplication and cost as volume scales up

Technology stack

• OpenAI APIs
• Anthropic APIs
• TypeScript
• Node.js
• PostgreSQL
• Next.js
• Python

What you receive

• The generation pipeline with its configuration and prompts versioned
• A voice guide and example set the system was tuned on
• Review workflow set up for the editorial team
• Export or publish path into the existing CMS
• Quality report on the first production run

Business benefits

• Catalogue coverage in days instead of quarters
• Volume without a drift in voice
• Writers move from typing to deciding
• Content performance becomes measurable per piece