KlyrStart freeYour coding agent can read transcripts. It just can't remember what it decided, or refuse to invent a theme. Klyr is the memory and the gate around it.
If you build with Cursor or Claude Code, you already have the cheapest synthesis tool there is: paste your interview transcripts into the chat and ask for themes. It works, and for a one-shot it works well. The agent will pull patterns, draft a PRD, and start scaffolding in the same session. We're not going to pretend that's nothing. The gap is what happens on the next session, and the one after that, when the agent starts cold with no memory of what the evidence said or which bet actually shipped.
- ·Zero extra cost and zero new tool. If you already pay for Cursor or Claude Code, pasting transcripts is free and instant. There's no upload, no second login, no context-switch out of your editor.
- ·It's genuinely good at the one-shot. For a single batch of transcripts in a single session, a frontier agent will summarize, find patterns, and draft a PRD that's often perfectly usable. Plenty of early-stage building never needs more than that.
- ·It already lives where you ship. The synthesis and the code happen in the same window, so there's no copy-paste handoff between a research tool and your editor. The thing Klyr has to work hard to make seamless is native here.
- ·Total flexibility. You can ask follow-ups, reshape the output, mix in code context, and steer the analysis conversationally in ways a structured pipeline doesn't allow.
- ·The agent forgets; Klyr is the loop it can't hold. Klyr runs evidence to ranked bet to Build Pack to shipped outcome, and writes every step into a persistent graph. When a bet ships, the result attaches back to the exact customer quotes that justified it, so the next decision starts smarter than the last. An agent session ends and that whole chain evaporates.
- ·Persistent evidence-to-outcome memory across every session. Close the terminal and the agent loses why you tried a flow, what three customers said in one call, and which bet moved a number. Klyr keeps that as Product Memory and is wiring it into agent context directly (think MCP), so the memory rides back into the editor you already build in.
- ·An enforced citation gate the agent doesn't have. Ask an agent for themes and it will confidently hand you 'users want deeper Slack integration' with no quote behind it, a vibe averaged into a roadmap line. Klyr locks every claim to a verified source quote and auto-drops any theme under two real citations. The agent can invent; Klyr structurally can't.
- ·Ranked prioritization across all your evidence, not just today's paste. The agent reasons over the transcripts in the current context window. Klyr ranks bets across your whole accumulated evidence base, so what surfaces is the highest-conviction thing to build next, not whatever was in the last prompt.
- ·A Build Pack built for the handoff, then closed by outcome. Klyr compiles the winning bet into a PRD, acceptance criteria, and a coding-agent prompt you paste straight into Cursor or Claude Code, so you still ship in your agent. Klyr just makes sure what you paste is cited, ranked, and remembered after the session dies.
If you're shipping a one-shot and the transcripts fit in one session, paste them into your agent. It's free, it's right there, and it's good enough. Reach for Klyr the moment evidence accumulates faster than any single context window can hold it, or you need a roadmap you can trace to a customer quote and defend later. Klyr isn't a replacement for your agent; it's the durable memory and decision layer that feeds it.
Can't I just paste my transcripts into Cursor or Claude Code and get the same themes?
For a single session, largely yes, and we'd tell you to do exactly that if that's all you need. The difference shows up over time. The agent re-reads from scratch every session, will invent a theme without a real quote behind it, and reasons only over what's in the current context window. Klyr keeps a persistent evidence-to-outcome graph, enforces a citation gate that auto-drops uncited themes, and ranks bets across all your accumulated evidence, not just today's paste.
Does Klyr replace my coding agent?
No. Klyr feeds it. The end of the loop is a Build Pack, a PRD, acceptance criteria, and a coding-agent prompt that you paste straight into Cursor or Claude Code to ship. Klyr's job is to make sure what you hand the agent is cited, ranked, and remembered after the session ends. You still build where you already build.
Why does 'the agent forgets' actually matter if the synthesis is good?
Because the synthesis is only step one. The expensive question isn't 'what are the themes in this batch'. It's 'which bet should we make, given everything we've learned, and did the last one work?' That answer depends on memory the agent structurally can't keep: past evidence, dead ends, and shipped outcomes. When the session ends, the agent loses all of it. Klyr is the layer that holds it.
Isn't cited synthesis the whole value? Klyr and the agent both do it.
Cited synthesis is table stakes now. NotebookLM does it free, and your agent does it in the editor. We don't sell it as the moat. The moat is the loop and the persistent graph: enforced citations that auto-drop weak themes, ranked prioritization across all your evidence, a Build Pack handoff, and outcomes learned back into Product Memory. That's the part an ephemeral session can't reproduce.
When is pasting into my agent genuinely the better call?
When it's a one-shot, the transcripts fit in one context window, and you don't need to defend the decision later. Free, instant, and in the tool you're already in beats any extra step. Switch to Klyr when evidence accumulates across many sessions, when you need a roadmap you can trace back to verified customer quotes, or when you want every shipped outcome to make the next bet smarter.