Knowledge that builds itself
Scattered documents come together in one workspace—from search and organization to action.
You're paying the stateless tax.
Every day your team re-pays the same invisible cost.
Every chat re-explains the same context.
Your team writes the same 500-word background into ChatGPT every morning.
Documents live in silos. AI never connects them.
The answer in your Notion can't talk to the decision in last week's Slack thread.
Knowledge never compounds.
Month six looks exactly like month one. Nothing your team learned is an asset.
What is Specify?
Four principles that separate Knowledge OS from "AI that answers questions."
Index what you ingest.
Bring sources and documents into a workspace and embed them into a searchable knowledge base — an asset your team can retrieve later, not a one-off paste.
Stateful over session-bound.
Your agent remembers your sources, decisions, and language — across sessions and team members.
Compound value.
More indexed docs and sources widen what RAG can see. The searchable corpus grows with the team.
Agents on workspace context.
All data in the workspace shapes answers — less manual re-explaining, without claiming a live ontology graph.
How Specify turns sources into answers.
Connect → embed into your KB → retrieve at query time → agent.
Connect
PDF, URL, GitHub, Notion, chat history, Google Drive. Bring them into your workspace.
Index
Chunk, embed, and load into the workspace knowledge base so content becomes searchable.
Retrieve
At query time, RAG pulls the most relevant chunks (Bedrock KB) — no separate graph layer in the product today.
Agent
Your team's AI agent uses RAG results and document context. Citations trace back to indexed sources.
How this differs from what you already use.
| Naive RAG | ChatGPT Memory | Specify (today) | |
|---|---|---|---|
| When processed | Query time | Session time | Index at ingest · retrieve at query |
| Structure | Vector chunks | Unordered facts | KB vector chunks + linked docs |
| State | Stateless | Per-user only | Team workspace + agent threads |
| Cross-references | None | Manual | Doc links + RAG hits |
| Sources | Opaque | N/A | Cited, traceable |
| Shareable | No | No | Yes |
Questions you probably have.
Start your team's Specify today.
The Knowledge OS your AI agents are waiting for.