Use Case
Cited answers. Deep research. Zero hallucinations.
Ask complex questions and get comprehensive answers grounded entirely in your company's actual documents — never fabricated.
Grounded answers
Every response is synthesized from your actual documents. If the answer isn't in your docs, Stacklink says so.
Multi-source synthesis
Combine information from a Notion page and a Google Doc into a single coherent answer.
Follow-up conversations
Ask clarifying questions in the same thread. Context carries forward so you can dig deeper without repeating yourself.
“AI that admits when it doesn't know is more valuable than AI that always has an answer.”
Capabilities
How it works for ai-powered q&a
Composer mode
For complex research tasks, Composer mode searches across multiple sources, synthesizes findings, and produces a structured report with citations.
Inline source previews
Hover over any citation to see the relevant paragraph from the source document without leaving the chat.
Confidence scoring
Each answer shows how confident the AI is based on source quality and relevance. Low confidence? You'll know before you act on it.
Auto-suggested questions
Based on your role and recent activity, Stacklink suggests questions you might want to ask — surfacing knowledge you didn't know you needed.
Answer feedback loop
Thumbs up or down on any answer. Feedback improves ranking and helps identify docs that need updating.
Under the hood
Three things that change once the answer is cited.
Most assistants stop at “based on general knowledge.” We start where they end — permission gating, hybrid recall, and a precision rerank that all run before the model writes a token.
01 · Pipeline
From question to citation in five stages, none of them optional.
The token travels through every stage before a word streams back. Permission gating happens up front, not as a post-filter.
Question
asked under your role
Permission gate
per-source, per-user, before recall
Hybrid recall
keyword + semantic, merged
Precision rerank
top survive; rest dropped
Cited stream
paragraph-anchored answer
01Question
asked under your role
02Permission gate
per-source, per-user, before recall
03Hybrid recall
keyword + semantic, merged
04Precision rerank
top survive; rest dropped
05Cited stream
paragraph-anchored answer
02 · Outcome
Same question. One vague paragraph, one verifiable answer.
The difference between an assistant that talks about your work and one that has actually read it.
Based on general knowledge, auth migrations typically involve choosing between OIDC and SAML, planning a staged rollout, and testing across providers. Teams often use feature flags and monitor for regressions on common browsers. Without access to your specific decision records, I can’t confirm what your team actually chose.
The team chose OIDC over SAML for the Q3 migration Notion§3, on the condition that providers offered EU-resident issuer endpoints Drivep.12. The cutover was staged behind a feature flag and rolled to 5% of traffic before promoting GitHubPR #1842. Two issues stayed open at quarter-end — token-rotation on Safari and the legacy bridge for one acquired tenant.
03 · Guarantee
A document your role can't open never enters retrieval.
Flip the role and watch the candidate set change before recall ever runs. Gating is the first stage, not a redaction pass.
Auth RFC · §3 Provider choice
After a two-week bake-off the team chose OIDC over SAML for the Q3 migration.
api-gateway · PR #1842
Staged-rollout feature flag wired; promotes from 5% → 50% on green CI.
████████ · ████████████████
████████ ████ ████████ █████████ ████ █████ █████.
#platform · auth thread
Dana proposed week-3 cutover; thread settled on feature-flag gating.
████████ · ████████████████
████████ ████ ████████ █████████ ████ █████ █████.
session-service · rotation policy
Token rotation cadence and the Safari edge-case carry into Q4.
Gated tiles are shown here for clarity. In production the assistant never sees them — they are filtered out of the candidate pool before recall runs.
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