Koji vs tl;dv: AI Meeting Notetaker vs AI Customer Interviewer (2026)
Compare tl;dv (AI meeting notetaker) with Koji (AI customer interviewer). See what each tool does, when to use each, pricing, and why most research teams end up using both.
Quick answer: tl;dv is an AI notetaker — it joins meetings you are already running, records them, and produces transcripts, summaries, and timestamped highlights. Koji is an AI interviewer — it conducts the customer research conversation itself, in voice or text, with adaptive follow-up questions, and aggregates findings across every participant into a research report. tl;dv captures meetings that already exist on your calendar. Koji creates research at scale without putting anything on your calendar at all. Most teams that take research seriously end up running both side by side.
The Honest One-Sentence Difference
If you have to put a meeting on your calendar before tl;dv can capture it, it is a notetaker. If the tool can run the conversation while you sleep and tell you the patterns the next morning, it is an interviewer. tl;dv is the first category. Koji is the second.
That distinction sounds small until you try to scale customer research. A notetaker improves the meetings you are already running. An interviewer changes how many conversations you can run at all.
What tl;dv Does Well
tl;dv (short for "too long; didn't view") is an AI meeting assistant designed primarily for sales, customer success, and product calls on Zoom, Google Meet, and Microsoft Teams. It joins your scheduled meetings as a bot, records the call, generates a transcript in 30+ languages, and produces an AI summary with timestamped highlights you can clip and share.
Where tl;dv shines:
- Sales coaching and call review. Speaker analytics, talk-time ratios, and AI coaching scorecards (BANT, MEDDIC) for revenue teams.
- Cross-meeting AI reports. Ask tl;dv "what objections came up in last quarter's discovery calls?" and it will scan transcripts to answer.
- CRM and tool integrations. Push notes into HubSpot, Salesforce, Slack, Notion, and 5,000+ tools via Zapier.
- Free tier with unlimited recording. Free forever for unlimited meetings (with limited AI prompts and integrations).
What tl;dv is not designed to do is run a research interview. It does not recruit participants, send out a study link, ask structured research questions, probe with adaptive follow-ups based on a research brief, or aggregate responses across non-overlapping conversations into a methodologically sound report. It is a notetaker. A very good one.
What Koji Does Well
Koji is an AI-native customer research platform built around a single idea: the AI conducts the interview. You write a brief — research goals, segments, and the six structured question types (open_ended, scale, single_choice, multiple_choice, ranking, yes_no) — and Koji generates a study link. Participants click it and talk (or type) with an AI interviewer that follows the script, asks adaptive probing questions, and recognises when an answer is shallow versus when it has hit the actual insight.
When the study finishes, Koji analyses every transcript, scores each conversation for quality, and produces a research report with themes, quotes, segment splits, and visual charts for the structured questions — all without a human moderator joining a single call.
Where Koji is built differently:
- Voice + text interviews. Participants can speak naturally with the AI or type — whichever fits the moment. Voice conversations cost 3 credits; text conversations cost 1.
- Adaptive follow-ups. The AI probes vague answers ("can you tell me about the last time that happened?") with the depth a human researcher would.
- Structured questions inside an open conversation. Mix open_ended discovery questions with NPS scales, choice questions, and ranking — all inside one fluid AI conversation, then visualise the structured ones automatically.
- Quality gate. Only conversations that score 3 or higher on Koji's quality rubric consume credits. Junk responses are filtered before they pollute your report.
- Always-on studies. Run discovery, onboarding, churn, and post-purchase research 24/7 without a moderator's calendar to block.
If tl;dv supercharges the meetings on your calendar, Koji eliminates the need to schedule the next 100 meetings at all.
Head-to-Head Comparison
| Capability | tl;dv | Koji |
|---|---|---|
| Conducts the interview | No — captures meetings you run | Yes — AI interviewer runs the conversation |
| Adaptive follow-up questions during the call | No | Yes — AI probes vague answers |
| Structured research questions (NPS, choice, ranking) | No | Yes — 6 typed question kinds |
| Voice mode for async participants | No (requires a live meeting) | Yes — voice or text, asynchronous |
| Recruit & route participants via study link | No | Yes — public study links and panels |
| Cross-interview research report (themes, quotes, charts) | Partial (cross-meeting AI prompts) | Yes — first-class research reports |
| Quality scoring on each transcript | No | Yes — quality gate filters low-effort responses |
| CRM-style call coaching (BANT, MEDDIC) | Yes | No — not a sales coaching tool |
| Free tier | Unlimited meetings, limited AI | Free credits for evaluation |
| Pricing model | Per-seat subscription ($29–$98/seat/mo) | Credit-based plans (€29 or €79/mo) plus €1/credit overage |
The boxes are not a winner-takes-all chart. They are a description of two products that solve different problems for different humans.
When to Use tl;dv
Reach for tl;dv when:
- You already have a recurring meeting load (sales discovery, CS check-ins, leadership stand-ups) and want better recall and shareable highlights.
- You need call coaching, speaker analytics, and BANT/MEDDIC scorecards for a sales org.
- You want to feed meeting transcripts into Salesforce or HubSpot automatically.
- The research you do is fundamentally meeting-shaped: you set up the call, the person joins, and you talk.
tl;dv will not help you run discovery on prospects who have never been on your calendar, or interview 200 churned users at 2 a.m. when nobody is available to moderate. That is not its job.
When to Use Koji
Reach for Koji when:
- You need to talk to more customers than you can personally meet — discovery sprints, churn, onboarding, beta, pricing, brand tracking.
- You want async interviews participants can complete at their own pace, in voice or text, without scheduling.
- You need a research report (themes, quotes, segment splits, visualised structured questions), not just per-call summaries.
- You want a continuous discovery rhythm where research runs 24/7 without you babysitting.
- You are evaluating Koji against other AI interview platforms and want to understand the category.
Many of the highest-leverage Koji use cases — cancel-flow exit interviews, stay interviews, win-back outreach, onboarding research — are structurally impossible with a notetaker, because there is no meeting on the calendar to capture in the first place.
Pricing in Plain English
tl;dv uses a per-seat subscription model. As of 2026 the published tiers are Free (unlimited recording, limited AI prompts), Pro at roughly $29/seat/mo, and Business at $98/seat/mo, plus custom Enterprise. The cost scales with the number of people on your team who need a recorder seat.
Koji uses a credit-based model that scales with the number of conversations, not the number of teammates. The Insights plan is €29/month for 29 credits and the Interviews plan is €79/month for 79 credits, with annual plans giving two months free. Overage is a flat €1 per credit. Text interviews cost 1 credit, voice interviews cost 3 credits, and a report refresh costs 5 credits. Only conversations scoring 3 or higher on the quality rubric consume credits, so junk responses do not drain your plan.
If you have a 10-person sales team, tl;dv's per-seat model gets expensive fast. If you have a single product manager who wants to run 30 customer interviews this month, Koji's credit model is closer to the actual unit of work.
Can You Use Both?
Yes — and many teams do, because the workflows are complementary. A common pattern looks like this:
- tl;dv sits on the sales and CS team's calendars, capturing live discovery and check-in calls. The transcripts get fed into the CRM.
- Koji runs continuous async research with the broader customer base — churn interviews, post-purchase NPS with follow-up, beta feedback, pricing studies — without anyone joining a Zoom.
- Insights from both sources land in the same research repository or roadmap doc, with sales calls supplying anecdotal depth and Koji studies supplying statistical breadth.
This is the same pattern teams already use with other meeting notetakers and conversation intelligence platforms: notetakers improve the meetings you have, AI interviewers create the conversations you do not.
The TL;DR for Decision-Makers
If your problem is "we are doing too many sales calls and forgetting what was said," buy a notetaker like tl;dv. If your problem is "we need to hear from 100 customers this quarter and we have one researcher," buy an AI interviewer like Koji. If your problem is both, buy both.
The categories are not in conflict. They are solving for different bottlenecks in how teams generate customer understanding — one for the meetings on the calendar, one for the conversations that never get scheduled.
Related Resources
- How AI Interviewers Work — A Technical Overview
- Structured Questions Guide — Koji's 6 Question Types
- AI Voice Interviews: The Definitive Guide
- Koji vs Fathom — Notetaker vs Interviewer (Sister Comparison)
- Koji vs Granola — Notetaker vs Interviewer (Sister Comparison)
- Best AI Interview Software in 2026
- Customer Discovery Interviews at Scale
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