AI Content Engine
AI content, built
around your business.
Turn your business data and knowledge into the content you need: text, images, video, audio, or structured content. I build the workflows around your sources, audiences, brand, and destinations, with review and control built in.
Start with one useful workflow. Extend from there.
Architecture overview
A shared core.
Built to adapt.
Source adapters bring information in. Your business context guides the AI workflows. Review and delivery modules turn the result into usable content. Each part can evolve as your needs change.
Read the architecture article ↗Inputs · source adapters
Your sources
- Databases, catalogs & APIs
- Documents, websites & research
- CRM, support & customer feedback
- Images, audio & video
Connect → normalize → retain source references
Business configuration ↓
Your model of the business
Products & services · audiences · brand voice · language · offers · claims · content goals
Reusable engine core
Knowledge & context
Organize sources, retrieve relevant evidence, preserve versions.
AI workflows & production
Plan, generate, adapt, and render through format-specific modules.
Validation & approval
Check claims and formats. Review exact revisions. Keep approved assets.
Outputs · delivery adapters
Your content
- Articles, copy & structured fields
- Images, graphics & presentations
- Video, audio & supporting assets
Your destinations
Website / CMS · social · CRM / email · asset library · API / file export
Release approved content to the selected channel.
Workflow state & scheduling · access & brand isolation · retries & recovery · cost & quality tracking
Configure the business
Change the audience, product model, voice, locale, and approval policy without redesigning the content lifecycle.
Extend the capabilities
Add a data source, production module, or destination through a defined integration boundary. Some extensions need code.
Keep the foundation
Reuse source history, context, revisions, access controls, and delivery records as the system grows.
A practical starting stack: TypeScript/NestJS for application modules, PostgreSQL for knowledge and state, private object storage for assets, DBOS for durable workflows, and model APIs behind generation adapters. Add search, media rendering, and channel connectors where the workflow needs them.
Go deeper: architecture, tradeoffs, and the Lemtika foundation ↗Designed to adapt
Different businesses.
Different content.
The same foundation.
Your business supplies the vocabulary, evidence, products, services, and audience needs. The workflow defines what to make and how to judge it. Output modules handle each format's production requirements.
These examples show possible configurations. The first implementation is validated against your material and the formats in scope.
| Business | Starting material | Possible outputs |
|---|---|---|
| Commerce & retail | Product catalog, specifications, approved imagery, customer questions | Product pages, campaign copy, promotional graphics, localized listings |
| Software & technology | Product documentation, release notes, support insights | Launch pages, tutorials, social posts, demo scripts, customer emails |
| Professional services | Methods, research, project records, expert interviews | Case studies, articles, sales collateral, presentations, nurture content |
| Education & media | Curricula, source documents, research, recordings | Learning material, explainers, scripts, narrated or visual content |
Content beyond a single channel
Choose the job.
Shape the workflow.
Publish and distribute
Create website content, product pages, articles, or social assets from a shared brief, with channel-specific review and release rules.
Produce and repurpose
Turn research or business knowledge into written, visual, or narrated material. Media workflows can include scripts, asset selection, generation, rendering, and review.
Refresh and localize
Propose updates when products, offers, or sources change. Adapt approved content to a new audience, market, language, or format.
Nurture over time
Use an approved library within customer journeys. New material can improve future sequences; audience, eligibility, and sending history guide delivery.
The first engagement
Start with the workflow that matters most.
Choose a recurring content task, representative business data, and an output your team can evaluate. I scope a working prototype around that path, with an architecture that has room for the next one.
A workflow mapped to your business
An agreed audience, content purpose, source set, output formats, and quality criteria. A representative slice of your real material becomes the first implementation.
Persistent knowledge and context
Source ingestion, business configuration, and reusable context with provenance and versions. Later runs can build on what is already known.
Content you can review and use
The agreed generation and production steps, a review path for exact revisions, and delivery to the selected destination or export format.
An operational foundation
Workflow state, recovery checks, access controls, cost visibility, code, and handover. An extension plan identifies the next sources, formats, or brands to add.
What you bring
A sample of your source material, examples of useful content, business and brand context, a reviewer, and access to the systems in scope.
The engineering foundation
Built from lessons
at Lemtika.
At Lemtika, I built evidence-based content generation and durable social publishing: source snapshots, versioned writing instructions, approval, scheduling, and recovery when an external API leaves the outcome uncertain.
That work provides the foundation for this broader architecture. Additional business models, media formats, knowledge workflows, and integrations are extensions I scope and implement for your needs.
Practical questions
Before we build.
Your first workflow
What content does
your business need?
Tell me what information you have, what you want to create, and where it needs to go. I will use that to scope a system around your business.
Scope your content workflow ↗Direct work with me, from architecture through implementation.