{"observation":{"id":"46b5c695-1c28-461a-ad98-573516adf29f","tool":"fathom","tool_name":"Fathom","criterion":"topic-segmentation","criterion_name":"Topic Segmentation","criterion_definition":"Breaks long multi-topic meetings into useful sections instead of one blob.","criterion_evidence_type":"transformation","criterion_rank_role":"context","criterion_rank_role_reason":"Breaking long meetings into sections makes notes easier to use, but a tool can still succeed at core note-taking without perfect segmentation. (3 of 3 judges)","scenario":"ai-demos-daily-standup-31-july-2026","scenario_name":"AI Demos Daily Standup — 31 July 2026","group_tag":"ai-meeting-notetaker","scenario_description":"A real 25-minute technical engineering daily standup with 14 attendees and about 10 active speakers, used as the single parallel-capture meeting for evaluating AI meeting notetakers on transcription, diarization, summaries, action items, search/chat, and collaboration features.","modality":"image","input_text":null,"input_artifact_refs":[{"alt":null,"url":"https://cdn.futuresmart.ai/public/aidemos/547dd6f13e4a420fa8ad7bf2c88c7612.png?v=1","role":"input","filename":"31-july-meeting-screenshot.png"}],"stresses":["Transcription accuracy for real names, tool names, numbers, and technical jargon","Speaker diarization across multiple active speakers","Robustness to overlapping speech, crosstalk, and rapid turn-taking","Join reliability for bot-based and botless capture","Summary quality on identical source material","Action-item extraction with correct owners and commitments","Topic segmentation of standup updates","Search and chat grounded in the meeting content","Sharing, API, MCP, integrations, plan limits, languages, and privacy feature coverage"],"verdict":"worked","score":null,"score_total":null,"note":"Fathom breaks the standup into named topical sections instead of one blob, including headers like \"Process & System Blockers\" and \"Content Quality & Review Process.\"","evidence_state":"verified","source":null,"artifacts":[{"url":"https://cdn.futuresmart.ai/public/aidemos/1d727e487573413ab4068646f67ff0af.png?v=1","role":"output","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/e47e522c20554998bc8b6e0970d9a329.png?v=1","role":"output","alt":null}],"run_id":"ace58582-3d1e-48ee-996c-9b3cd03f27a2","study_title":"AI Meeting Notetakers — Capture Accurate Transcripts, Summaries & Action Items From Live Calls","study_kind":"generation","research_task":"86baxegnv","tested_at":null,"completeness":"input-and-output","input":{"state":"files","text":null,"files":[{"url":"https://cdn.futuresmart.ai/public/aidemos/547dd6f13e4a420fa8ad7bf2c88c7612.png?v=1","filename":"31-july-meeting-screenshot.png","alt":"AI Demos Daily Standup — 31 July 2026","role":"input"}],"modality":"image","stresses":["Transcription accuracy for real names, tool names, numbers, and technical jargon","Speaker diarization across multiple active speakers","Robustness to overlapping speech, crosstalk, and rapid turn-taking","Join reliability for bot-based and botless capture","Summary quality on identical source material","Action-item extraction with correct owners and commitments","Topic segmentation of standup updates","Search and chat grounded in the meeting content","Sharing, API, MCP, integrations, plan limits, languages, and privacy feature coverage"]},"tool_page_slug":"fathom","tool_url":"https://aidemos.com/tools/fathom","permalink":"https://aidemos.com/evidence/46b5c695-1c28-461a-ad98-573516adf29f","api_url":"https://ai.aidemos.com/v1/observations/46b5c695-1c28-461a-ad98-573516adf29f"},"peers":[{"id":"b69458f2-5b1d-4915-bf53-39ab59f059d2","tool":"fellow","tool_name":"Fellow","verdict":"worked","score":null,"score_total":null,"note":"The tool broke the standup into logical topic sections with clear headers and separated discussion points, rather than leaving the meeting as one undifferentiated blob.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/e9cfe1cbf2b543a3a9ce3c67d83d21ff.png?v=1","evidence_url":"https://aidemos.com/evidence/b69458f2-5b1d-4915-bf53-39ab59f059d2"},{"id":"cc75e1cb-8718-41a2-9065-0ad7df27d332","tool":"fireflies-ai","tool_name":"Fireflies.ai","verdict":"worked","score":null,"score_total":null,"note":"Broke the meeting notes into named sections with descriptive headers and short recap paragraphs, making the output skimmable instead of one undifferentiated block.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/3146d83f0f2d4913ba1acc44c5a24530.png?v=1","evidence_url":"https://aidemos.com/evidence/cc75e1cb-8718-41a2-9065-0ad7df27d332"},{"id":"e10b1e9f-289c-4e45-bb24-24d7b3063e1e","tool":"granola","tool_name":"Granola","verdict":"worked","score":null,"score_total":null,"note":"The notes are split into named topic sections instead of one long blob; the published section header 'Diagram Animation and Other Use Cases' and the report’s multi-section summary structure show logical breakpoints for navigation.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/5343a488a2ad46a48618165dac495d7c.png?v=1","evidence_url":"https://aidemos.com/evidence/e10b1e9f-289c-4e45-bb24-24d7b3063e1e"},{"id":"35b58400-b0b9-4e04-851c-9c0c51b07e1b","tool":"happyscribe","tool_name":"HappyScribe","verdict":"worked","score":null,"score_total":null,"note":"It breaks the standup into logical topic sections that reflect meeting flow, instead of presenting the notes as a single undifferentiated block.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/bf864a8106ca4c3db1b8e79103b8e4f2.png?v=1","evidence_url":"https://aidemos.com/evidence/35b58400-b0b9-4e04-851c-9c0c51b07e1b"},{"id":"b45a857b-9306-4a29-a568-dcdf9f79fdf2","tool":"meetgeek","tool_name":"MeetGeek","verdict":"worked","score":null,"score_total":null,"note":"It breaks the meeting into useful numbered topic sections instead of one blob, with a visible hierarchy under \"Topics & Highlights\" and the report also noting an Insights tab alongside the segmentation.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/802e2202df02459b9fe81b754b08212f.png?v=1","evidence_url":"https://aidemos.com/evidence/b45a857b-9306-4a29-a568-dcdf9f79fdf2"},{"id":"dacc4361-09c8-4791-8895-8a8095e21fe8","tool":"notta","tool_name":"Notta","verdict":"worked","score":null,"score_total":null,"note":"The meeting was segmented into useful topic blocks rather than one blob; the report names three sections, including Task & Issue Management, Individual Progress Updates, and API Benchmarking Task.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/84691bb3ad6d4ac19dec1c5f25f3a0a9.png?v=1","evidence_url":"https://aidemos.com/evidence/dacc4361-09c8-4791-8895-8a8095e21fe8"},{"id":"eedc69a7-0929-4cbd-a001-6122eed42379","tool":"otter-ai","tool_name":"Otter.ai","verdict":"worked","score":null,"score_total":null,"note":"Otter broke the standup into useful topic sections rather than one blob, with named headings such as Issue Task Assignments and Status Updates and Error Resolution and Task Link Sharing, making the summary skimmable.","artifact_count":3,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/22a79c0f848e403c82d0a767e9e00914.png?v=1","evidence_url":"https://aidemos.com/evidence/eedc69a7-0929-4cbd-a001-6122eed42379"}],"other_criteria":[{"id":"8340c79d-88de-4721-9c3e-c58e057071fb","criterion":"action-item-extraction","criterion_name":"Action-Item Extraction","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Fathom extracts real commitments into an ACTION ITEMS section with owner attribution; the published output shows timestamped tasks and a named owner on the item.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/8340c79d-88de-4721-9c3e-c58e057071fb"},{"id":"070f7f5f-046c-4139-a132-6e00a3b57acc","criterion":"chat-with-notes-ask-questions","criterion_name":"Chat with Notes / Ask Questions","rank_role":"context","verdict":"worked","score":null,"score_total":null,"note":"Ask Fathom answers direct factual questions from the meeting notes with grounded references; for one query it answered that a call was scheduled for 6th August and linked the supporting transcript mention.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/070f7f5f-046c-4139-a132-6e00a3b57acc"},{"id":"64cce11b-7973-439a-bcc1-68219903d5eb","criterion":"join-method-reliability","criterion_name":"Join Method & Reliability","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"The bot joined Google Meet successfully and stayed connected for the full ~25-minute call, with no mid-call disconnections or plan-limit cutoffs.","artifact_count":5,"evidence_url":"https://aidemos.com/evidence/64cce11b-7973-439a-bcc1-68219903d5eb"},{"id":"79d2b9bb-26b6-4b8e-858a-25c5849095c9","criterion":"search-across-notes","criterion_name":"Search Across Notes","rank_role":"context","verdict":"worked","score":null,"score_total":null,"note":"Transcript search supports keyword lookup and returns a matched snippet for \"API,\" surfacing the relevant moment and the linked action item \"Create subtasks for API benchmarking; tag Divya on completion.\"","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/79d2b9bb-26b6-4b8e-858a-25c5849095c9"},{"id":"e9695d25-df6e-448b-b185-4ad01e885bdf","criterion":"speaker-diarization","criterion_name":"Speaker Diarization","rank_role":"decisive","verdict":"mixed","score":null,"score_total":null,"note":"Fathom separates most speakers correctly in a busy multi-speaker standup, but the report observed one rapid-transition segment where two speakers' lines were merged into a single speaker block.","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/e9695d25-df6e-448b-b185-4ad01e885bdf"},{"id":"53731c87-42c6-49f3-b19d-6a3ab5fe169e","criterion":"summary-quality","criterion_name":"Summary Quality","rank_role":"decisive","verdict":"worked","score":null,"score_total":null,"note":"Fathom produces a skimmable written recap with named sections such as Meeting Purpose, Key Takeaways, and Topics; the report describes the summary as structured and concise.","artifact_count":3,"evidence_url":"https://aidemos.com/evidence/53731c87-42c6-49f3-b19d-6a3ab5fe169e"},{"id":"1c4f4fe3-3ed8-490d-992b-a25ddd604669","criterion":"transcription-accuracy","criterion_name":"Transcription Accuracy","rank_role":"decisive","verdict":"mixed","score":null,"score_total":null,"note":"Fathom's transcript mostly preserves the meeting's names and technical content, but the report records one confirmed name-level error: \"Mahreen\" was rendered as \"Meryl.\"","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/1c4f4fe3-3ed8-490d-992b-a25ddd604669"}],"appears_in":[{"page_type":"ranking","slug":"ai-meeting-notetakers","title":"Best AI Meeting Notetakers for Accurate Transcripts, Summaries, and Action Items","url":"https://aidemos.com/best/ai-meeting-notetakers","binding":"run"}],"same_scenario":[{"id":"b69458f2-5b1d-4915-bf53-39ab59f059d2","tool":"fellow","tool_name":"Fellow","verdict":"worked","score":null,"score_total":null,"note":"The tool broke the standup into logical topic sections with clear headers and separated discussion points, rather than leaving the meeting as one undifferentiated blob."},{"id":"cc75e1cb-8718-41a2-9065-0ad7df27d332","tool":"fireflies-ai","tool_name":"Fireflies.ai","verdict":"worked","score":null,"score_total":null,"note":"Broke the meeting notes into named sections with descriptive headers and short recap paragraphs, making the output skimmable instead of one undifferentiated block."},{"id":"e10b1e9f-289c-4e45-bb24-24d7b3063e1e","tool":"granola","tool_name":"Granola","verdict":"worked","score":null,"score_total":null,"note":"The notes are split into named topic sections instead of one long blob; the published section header 'Diagram Animation and Other Use Cases' and the report’s multi-section summary structure show logical breakpoints for navigation."},{"id":"35b58400-b0b9-4e04-851c-9c0c51b07e1b","tool":"happyscribe","tool_name":"HappyScribe","verdict":"worked","score":null,"score_total":null,"note":"It breaks the standup into logical topic sections that reflect meeting flow, instead of presenting the notes as a single undifferentiated block."},{"id":"b45a857b-9306-4a29-a568-dcdf9f79fdf2","tool":"meetgeek","tool_name":"MeetGeek","verdict":"worked","score":null,"score_total":null,"note":"It breaks the meeting into useful numbered topic sections instead of one blob, with a visible hierarchy under \"Topics & Highlights\" and the report also noting an Insights tab alongside the segmentation."},{"id":"dacc4361-09c8-4791-8895-8a8095e21fe8","tool":"notta","tool_name":"Notta","verdict":"worked","score":null,"score_total":null,"note":"The meeting was segmented into useful topic blocks rather than one blob; the report names three sections, including Task & Issue Management, Individual Progress Updates, and API Benchmarking Task."},{"id":"eedc69a7-0929-4cbd-a001-6122eed42379","tool":"otter-ai","tool_name":"Otter.ai","verdict":"worked","score":null,"score_total":null,"note":"Otter broke the standup into useful topic sections rather than one blob, with named headings such as Issue Task Assignments and Status Updates and Error Resolution and Task Link Sharing, making the summary skimmable."}]}