Your AI agent can explain quantum physics, write production code, and analyze complex datasets.
But it can't tell your user about the meeting they have in 20 minutes.
Modern AI models are incredibly capable. The problem isn't intelligence—it's awareness.
Your agent doesn't know:
What emails your user sent this morning
What's on their calendar this week
What documents they're working on
Who they're messaging with
So instead of being helpful, it asks questions. Instead of anticipating needs, it waits for instructions.
You built an AI agent. It behaves like a chatbot.
To make your agent truly intelligent, you need context. Real context from real user data.
That means building:
OAuth integrations for Gmail, Outlook, Google Calendar, Slack
Data parsers for emails, events, documents, messages
Secure storage systems users will trust
Maintenance for when APIs inevitably change
Or you can use Fabrik.
Fabrik connects your AI agent to user data sources securely and gives you structured context through a single API.
What you get:
Email threads and conversation history
Calendar events and scheduling data
Documents and file contents
Messages and communication context
What you don't deal with:
Building OAuth flows
Parsing unstructured data
Managing API changes
Storing sensitive information
User data stays encrypted end-to-end. Even Fabrik can't access it. Your users keep their encryption keys. You get the context. Everyone stays secure.
With Fabrik, your AI agent transforms:
Before: "What meeting are you preparing for?"
After: "Here's your brief for the 2pm call with Acme Corp—you last spoke in August about pricing."
Before: "Can you paste the email?"
After: "Sarah asked about the proposal deadline. Want me to draft a response?"
Before: "Upload the relevant files."
After: "I found the Q3 report you're looking for. Here are the key insights."
Stop asking users for context they've already provided elsewhere. Stop building integration infrastructure when you should be building features.
Start building AI agents that actually know their users.
Get early access: getfabrik.ai
Love seeing the AI agent space mature. We're building a vertical AI agent for password automation—one of the most tedious tasks everyone needs.
The interesting challenge is handling the chaos of different login flows across 100+ websites. No two sites are the same, so the agent needs to be flexible enough to adapt but deterministic enough to avoid prompt injection risks.
Our approach: Credentials never flow through LLM context. Agent triggers actions via callbacks; passwords are injected at the last mile, invisible to the model.
Happy to chat about vertical AI agent learnings if anyone's building in a similar space!