AI translations that follow your terminology
Translate structured content field-by-field with Agent Actions. Preserve references, slugs, and schema integrity with human review.
Noah Gentile and 2 others
agent context
Marketing Bot
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agent contextCurrent Context:learn, docs
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agent context
Pricing Bot
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Make agents work reliably
Agent Context
Ship agents that query your content with business rules, semantic search, and real-time data.
Innovate
Ship experiences your users deserve
Ship experiences your users deserve
Shopping agents
"Find hiking boots under $200 in my size." Real products, not hallucinations. Increase conversion, reduce abandoned carts.
Technical support
"How do I reset my password?" Real answers from your docs, instantly. Deflect tickets, cut support costs.
Content discovery
Surface related content, find gaps, explore connections. Speed up teams without adding headcount.
Internal agents
Encode how your team works. Classify, route, and process content with the logic that used to live in people's heads.
AI workflows you can build today
Your AI is only as good as the content it operates on. These guides show how to build real AI workflows on structured content: working code, honest trade-offs, and a starter kit for each.
Context means accuracy
Context means accuracy
1
Customer asks a question
"Do you have hiking boots under $200 in size 10?"
2
Agent generates a query
Understands the question, knows your schema, combines strict checks (price < $200) with semantic search (relevant to hiking).
3
Sanity returns precise results
Products that match, are in stock, and meet all business rules. Real-time. No hallucinations.
Real-time. Reliable. Governed.
Real-time. Reliable. Governed.
Real-time sync
Update a product or policy and agents know immediately. No reindexing. No drift.
Constraints that work
Agents can't recommend what you don't sell. Business rules enforced in the query response, not the prompt.
Editorial control
Published content is agent-accessible. Drafts aren't. Internal stays internal.
RAG + GROQ = agents that obey real constraints.
What is Agent Context?
The building blocks
The building blocks
Semantic index
Embeddings generated automatically on your content. AI understands meaning, not just keywords. No pipeline to build, no separate service to maintain.
MCP endpoint
Any agent connects in one line. Claude, GPT, Gemini or your own. They all see your structured content through a single endpoint.
GROQ + semantics
Queries that combine meaning with constraints. "Products in stock, under $200, related to winter hiking." One call.
Built for builders
Built for builders
No pipeline to build.
No months of work.
The guidance is built in.
Agent Context ships with a skill.
Install the plugin, add the skill, prompt your setup.
The agent backend you've been waiting for
You've got structured content. Now give your agents the context they need.
