Tome Robot vs. Guru
Guru makes humans write cards. Tome Robot records the work and writes them for you.
Guru is a solid AI-era wiki with a verification loop — somebody writes a card, an expert re-verifies it every 90 days, the AI answers questions from those verified cards. It's a lot better than most wikis. It still starts with humans writing cards. Tome Robot starts with your team just doing their job on camera.
When to pick which
- ✓You have more software workflows than writers.
- ✓You want docs created by recording, not by blocking out a "doc day."
- ✓You need a public help center, not only an internal knowledge hub.
- ✓You want drift detection that watches the software, not reminders on a calendar.
- •Your knowledge is mostly text policies, battlecards, and playbooks — not clickable workflows.
- •You need deep Slack/Teams-native capture and retrieval across 100+ app integrations.
- •You have 10+ seats and want a company-wide intranet surface.
- •Verification-by-expert is already how your team works.
Feature by feature
| Capability | Tome Robot | Guru |
|---|---|---|
| How content gets created | Recorded from real work. Tome Robot transcribes, cleans, grounds, and drafts. | Humans write Cards; AI helps draft and verify. |
| Screen capture | Every click becomes a screenshot, a button name, and voice narration. | No native screen recording. |
| Verification model | Nightly checks against the live app; auto-drafted updates when things change. | Scheduled human re-verification by designated experts. |
| Grounded Q&A | Answers cite the exact step and recording they came from. | Knowledge Agents answer from verified cards across integrated apps. |
| Public help center | Hosted public reader on your own domain. | Internal-first; every reader needs a seat. |
| Seat minimum | 1 seat on Pro. | 10-seat minimum on paid tiers. |
| Starting price | Free; Pro at $29/seat/mo. | $15–$25/user/mo with a 10-seat floor ($150–$250/mo entry). |
Different bets on where knowledge lives
Guru's bet is that the knowledge already exists in your team's heads and just needs a good container to write it down in. That's a real bet — it works for policies, sales battlecards, HR procedures, and other text-first knowledge. Tome Robot's bet is that for software workflows, the knowledge lives in the clicks. Nobody writes a good doc for "how to reconcile a weird edge case in the billing tool" — they just do it, twelve times. Record once, and Tome Robot has a permanent, searchable, drift-aware article. No doc day required.
Use them together
Guru and Tome Robot aren't strictly competitive. Policies, announcements, and tribal knowledge still make sense in a wiki. Step-by-step software workflows and customer help content make more sense in Tome Robot. Plenty of teams run both and let each tool own what it's good at — the trick is to stop writing Guru cards for things that are really just "here's how to do this in the app."
Want a KB that writes itself — and keeps itself honest?
That's the part Gurudoesn't do.
Comparisons reflect publicly available information about Guru as of April 2026. Corrections welcome: hello@tomerobot.com.