Drop in sources, search a question, or talk through a problem. SWIV synthesizes incomplete knowledge into structured, permanent artifacts — and remembers everything you've built.
Every entry point — drop, search, or converse — leads to the same artifact shelf. SWIV meets you where the knowledge already is.
Upload a script, PDF, doc, or link. SWIV reads the content, extracts entities, and understands the domain — so you can ask what to build from it.
Ask a question or research direction. SWIV fetches sources, extracts transcripts, identifies patterns, and accumulates findings you can refine at any time.
Talk through a problem, process, or decision. The AI asks probing questions, surfaces gaps, and validates logic — together you build shared understanding that becomes an artifact.
Any user can need any artifact depending on what they're doing that day. A researcher, an ops manager, and a founder are all one session away from any of these.
"I need to understand or communicate something I've researched"
Findings organized by theme, entities extracted from sources, evidence with citations, gaps explicitly called out, and actionable implications. Built from your sessions, not from scratch.
"I need to show how a process works"
Phases, steps, decision branches, edge cases, role assignments, and thresholds — capturing the actual process, not the idealized manual version. Built through conversation, not assumption.
"I need to justify or document a choice"
Options considered, tradeoffs, recommendation, rationale, and constraints. In six months when circumstances change, you'll know exactly why the decision was made — and whether it still holds.
Every tool tells you to write something, search something, or decide something. SWIV is the first tool that compresses all three — and remembers everything you built.
Drop in anything incomplete — a half-written brief, a folder of competitor links, a process you know but haven't written down. SWIV builds outward from your context, not from a blank page.
When enough signal exists, SWIV surfaces a nudge. One tap accepts, one tap dismisses. Nothing is auto-applied, auto-restructured, or silently changed. You are always the author.
The moment you accept an artifact, its entities and relationships are committed to your context graph. Next time you research similar topics, your history accelerates your work.
Every synthesized claim is tagged with the source chunks it came from. If the AI surfaces a pattern, you can click through to the evidence. Nothing is asserted without provenance.
No save buttons. No session timeouts. No lost work. A research session is a permanent workspace you return to whenever you need to — add sources, refine findings, or revisit decisions.
No integration setup. No historical data required. A solo creator gets full value on their first session. By month six, SWIV knows your niche's patterns, your approval thresholds, and your decision criteria.
Artifacts can be copied. AI capabilities are commodity. The moat is organizational specificity that compounds.
After six months, SWIV knows your niche's emerging trends, your org's actual processes, your approval thresholds, your recurring problems, and your decision patterns. No competitor can replicate this without being embedded in your work for months.
The flywheel: first artifact accepted → graph starts forming → second artifact recognizes context from first → speed accelerates → the knowledge lives here now.
Entities committed to graph. Concepts, decisions, and sources begin forming a record.
"You researched this niche in week one — here's what's changed." The graph starts earning its keep.
Decision criteria, recurring problems, approval thresholds — SWIV surfaces them before you ask.
The organizational knowledge lives in SWIV. What your team researched, decided, and documented — permanent and compounding.
| Tool | What they do | What SWIV does differently |
|---|---|---|
| Notion AI | Improve what you write — still requires a blank page to start | Builds outward from incomplete context. You never start from zero. |
| ChatGPT / Claude | Answer one question well, then forget everything | Every session builds the graph. Last month's research accelerates this month's. |
| Miro / Eraser | Diagram generators — assume you already know the full process | Asks questions to surface the process you couldn't fully articulate. Then validates it. |
| Transcript tools | Summarize individual videos — user still has to synthesize patterns manually | Fetch, extract, synthesize, and integrate findings back into your document in one session. |
| Interloom | Enterprise workflow automation — requires IT buy-in, historical data, top-down rollout | Works day one with zero historical data. From one freelancer to a 500-person team. |
"I dropped in three competitor links and a half-finished brief. Twenty minutes later I had a research document I could actually send to the client. I've never produced something that structured that fast."Ayesha R.Content strategist, B2B SaaS agency
"We used SWIV to document our vendor onboarding process by just talking through it. The AI kept asking things we hadn't considered — edge cases, who handles approvals when someone's on leave. The workflow that came out was more accurate than anything we'd written before."Marcus T.Operations manager, 80-person startup
"The traceability is what got me. Every finding in the research document links back to a source chunk. I can audit it. I can defend it. That's something no chat tool has ever given me."Priya N.Product manager, Series B