Notion

QwertyBit builds Notion integrations and internal knowledge agents — turning a cluttered Notion workspace into a searchable source of truth that answers team questions, flags stale docs, and feeds downstream automations.

The Notion-agent feedback loop

Notion plays two roles in a typical QwertyBit engagement. It is the place we write things down, and it is the data source for the agents we build.

Notion as the knowledge base

• Every engagement lives in a shared Notion space: business maps from Phase 1, Opportunity Matrix from Phase 2, prioritisation notes from Phase 3, feasibility assessments from Phase 4.
• Prompts, agent briefs and eval guidelines are written and versioned in Notion before they make it into code.
• Playbooks for common operations live here so a new engineer can onboard themselves.

Notion as an agent data source

For clients whose internal docs already live in Notion, we frequently build agents that use Notion as the retrieval corpus. Done well, this turns Notion from a document graveyard into a searchable institutional memory.

The discipline we add

A Notion workspace is only useful if it is maintained. We set up:

• Clear ownership per page — every critical doc has a named owner.
• Stale-doc detection (an agent that flags anything untouched for 6+ months).
• Change logs on high-stakes pages so the history is legible.

Work with us on Notion

Knowledge management is a workflow that rewards agents handsomely. Cleaning up a messy Notion and wiring it into agent-powered search is a classic engagement under our business automation service — or the Notion retrieval piece of a larger AI agent development build. Get in touch if your Notion has gotten out of hand.