Live siteAI ProductsProduct design, engineering, retrieval UX

Griot

A team knowledge platform where every AI answer arrives with its receipts attached.

griot.omookoroh.com
01

Overview

Griot is a team knowledge platform: upload the documents your company actually runs on, ask questions in plain language, and get answers where every claim carries a citation chip that opens the exact source passage, highlighted, in a reading drawer.

It's named for the West African griot — the keeper of a community's history whose authority rests on verifiable lineage. An answer without a source is just a rumor with good formatting.

02

The Challenge

Teams lose hours a week to searching their own documents, and the obvious fix — an AI that answers from them — collides with an operational reality: an unsourced answer can't be trusted with anything that matters. One hallucinated policy detail in a payroll or compliance question doesn't just fail; it poisons the team's trust in every future answer. The product's real adversary wasn't search latency — it was the first wrong answer.

03

Goals

  • 01

    Answer questions from team documents with every claim traceable to its source passage.

  • 02

    Make verification effortless: claim → receipt in one tap, with the passage highlighted in context.

  • 03

    Keep the workspace legible — documents, suggested questions, and answers in one calm surface.

  • 04

    Deliver the full ask-verify loop on mobile, where quick operational questions actually happen.

04

Research

The research examined how teams verify information when the stakes are real: they don't want summaries, they want the paragraph — the clause in the policy, the line in the contract. Verification behavior is about locating, not re-reading. That meant citations couldn't link to documents; they had to link to passages, scrolled-to and highlighted.

Studying RAG-product failures sharpened this: tools that cite at document level make verification a second search, and users stop verifying — which is exactly when hallucinations become dangerous. The citation had to be cheaper than trusting blindly.

05

Strategy Thesis

Citations are the product — the answer is just the index into them.

Griot inverts the usual RAG hierarchy. Instead of an answer with optional footnotes, it treats every response as a set of claims, each wearing its citation chip inline. Tapping a chip slides open a reading drawer with the source document scrolled to the passage, amber-highlighted — verification costs one tap and zero context.

The griot framing isn't decoration; it's the design principle. Authority through lineage: the product never asks to be trusted, it makes checking so cheap that trust accumulates as a side effect.

06

Design Process

  1. Step 01

    Design the claim-chip grammar

    Answers were designed as citable units from the start — the generation pipeline attaches source passages per claim, and the UI renders chips inline rather than as footnotes, so provenance is part of the sentence.

  2. Step 02

    Make the receipt instant

    The reading drawer opens over the conversation, source scrolled and highlighted, and closes back to the exact answer position — verification as a glance, not a navigation.

  3. Step 03

    Seed the cold start

    Workspaces generate suggested questions from the uploaded corpus, so a new team's first interaction is a one-tap demonstration of the full ask → answer → verify loop.

07

Final Solution & Gallery

The live product is a team workspace — document grid, search bar, suggested questions — where any question returns a cited answer, and the mobile flow keeps the whole loop intact: ask, read, tap a chip, see the passage.

Live · Still
[IMAGE PLACEHOLDER: Team workspace with document grid and search bar]
Live · Motion15–30s
[VIDEO PLACEHOLDER: Tapping suggested question, answer generating, clicking citation chip to slide reading drawer open to amber-highlighted text]
Live · Still
[IMAGE PLACEHOLDER: Mobile ask flow and source passage drawer]
08

Results & Metrics

The build's structural guarantees:

of answer claims carry citation chips
100%
citations open the source highlighted, not just the file
Passage-level
from any claim to its receipt and back
1 tap
uncited assertions rendered as fact
0
09

Key Takeaways

  1. 1

    Trust in AI answers is an interaction-cost problem: make verification cheaper than doubt and it actually happens.

  2. 2

    Passage-level beats document-level citation by exactly the margin users care about.

  3. 3

    A strong cultural metaphor (the griot's lineage) can discipline product decisions, not just name them.

Concept client, real build — every interaction shown is live in the linked product.