The build is the hard part
Content engineering promises research agents, drafts in your brand voice, repurposing across every channel, and reporting that tells you what to write next. Somebody still has to build all of that, and on a small team that somebody usually doesn't exist.
Building it yourself means system prompts, model handoffs, a knowledge base structure, quality checks, and connections to your site and analytics, then maintaining the lot every time the models change. Contengi ships that system ready to run. You bring the strategy and the editorial judgement, the platform does the engineering.
What comes out of the box
Brand knowledge base
Strategy, audience, tone of voice, writing guide, competitors, approved sources, and hard rules in one structured place. Every agent reads from it on every run.
Content agents for each format
SEO blogs, LinkedIn posts, newsletters, press releases, long-form opinion articles, and YouTube packages, each with its own workflow and brand checks.
Anti-slop rules built in
A fixed rule set strips em dashes, stock phrases, and the other tells that make content read as machine-written, before a draft reaches you.
A data-aware assistant
Connect Search Console and Google Analytics, then ask what to write next, which posts are slipping, and where the quick wins sit.
Automations in plain English
Describe a recurring job, pick a schedule, and the agents run it, from weekly reports to turning your latest transcript into an article.
Publishing to your site
Send finished blogs straight to your website, so a reviewed draft goes live without copy and paste.
How setup works
Step 1
Discovery call
A working session on your business, audience, and current content. No questionnaire to fill in.
Step 2
Knowledge base build
Your strategy, voice, and rules go into Contengi, refined with you until the drafts sound right.
Step 3
Team training
A live session running the platform against your own workflows.
Step 4
Ship and tune
You publish, and the rules and workflows get adjusted as you see what lands.
Is it a fit?
A good fit if
- You run content alone or in a team of two or three
- You know what good content looks like and want more of it
- You would rather use a finished system than build and maintain one
Probably not a fit if
- You have engineers who want control over every prompt and model call
- You need a custom enterprise workflow across dozens of teams
In the platform
From the Content engineering guides
What is content engineering? (And why it's the missing layer in most content strategies)
Content engineering is the discipline that turns content from a pile of documents into a structured, scalable system. Here's what it means in practice - and why most teams need it now.
5 min read
What is a content engineer and what skills does the role require?
A content engineer designs and operates the systems that produce, distribute, and govern content at scale. The role looks very different in 2026 than it did three years ago.
6 min read
Content engineering trends 2026: what's actually happening and what it takes to keep up
Content engineering in 2026 has moved well past prompt writing and basic automation. Here's what the leading trends are and what separates the teams actually running them from the ones just reading about them.
6 min read
The content engineer's role in automating refresh workflows
A content engineer builds the systems that keep published content from going stale - automatically surfacing what needs updating, generating briefs, and closing the loop on performance. Here's how the role works in practice.
5 min read
FAQ
Common questions
What is a content engineering platform?
Software that packages the parts of content engineering, a brand knowledge base, AI agents, workflows, automations, and publishing, into one system you run from a normal interface. You get agentic content workflows without building them from scratch.
Do I need technical skills to use Contengi?
No. The workflows, prompts, and model settings are already built. You work in a regular web app, and your knowledge base is set up with you during onboarding.
Which AI model does Contengi use?
Contengi runs on Claude from Anthropic. You connect your own Anthropic API key and pay for usage at cost, with no markup on tokens.
How much does Contengi cost?
The beta is $50 a month plus your Anthropic usage. The pricing section on the homepage shows what different levels of API spend produce.
A content engineering platform you don't have to build first
Set up your knowledge base once, with a strategist. Every agent works from it on day one.
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