{"observation":{"id":"070f7f5f-046c-4139-a132-6e00a3b57acc","tool":"fathom","tool_name":"Fathom","criterion":"chat-with-notes-ask-questions","criterion_name":"Chat with Notes / Ask Questions","criterion_definition":"Gives grounded answers with the cited moment and admits when unknown.","criterion_evidence_type":"transformation","criterion_rank_role":"context","criterion_rank_role_reason":"Q&A over notes is useful, but it is an add-on to the capture and summarization job rather than a core measure of it. (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":"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.","evidence_state":"verified","source":null,"artifacts":[{"url":"https://cdn.futuresmart.ai/public/aidemos/cc0b830d51cd48a2a6c9121c331b1626.png?v=1","role":"output","alt":null},{"url":"https://cdn.futuresmart.ai/public/aidemos/ef5b86c8121f4ed0b2f7ceccbe8c8f36.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/070f7f5f-046c-4139-a132-6e00a3b57acc","api_url":"https://ai.aidemos.com/v1/observations/070f7f5f-046c-4139-a132-6e00a3b57acc"},"peers":[{"id":"b8fe3f78-ae35-4ccf-b887-6188bac5ad2f","tool":"fellow","tool_name":"Fellow","verdict":"worked","score":null,"score_total":null,"note":"Ask Fellow returned grounded answers to natural-language questions against the meeting notes, and the tested query produced a cited response rather than an unsupported hallucination.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/553c970153974fc9a12d999ec7a3b888.png?v=1","evidence_url":"https://aidemos.com/evidence/b8fe3f78-ae35-4ccf-b887-6188bac5ad2f"},{"id":"9080d7d0-7707-4182-b68c-0e1f61c09488","tool":"fireflies-ai","tool_name":"Fireflies.ai","verdict":"worked","score":null,"score_total":null,"note":"AskFred answered a natural-language question with a specific grounded response ('August 6th') and relevant context, with no hallucination reported in the tested query.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/5d6339008cea4142b2733ccea5fe3c23.png?v=1","evidence_url":"https://aidemos.com/evidence/9080d7d0-7707-4182-b68c-0e1f61c09488"},{"id":"633e805b-8efa-4b9f-8667-7b79bb93072c","tool":"granola","tool_name":"Granola","verdict":"worked","score":null,"score_total":null,"note":"The chat/Q&A surface gives grounded answers from the meeting record: on the tool-access question it says access was confirmed that day, cites both the notes and transcript, and identifies rerunning testing as the next step.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/8b17d8ed350645bfb4a942128365177f.png?v=1","evidence_url":"https://aidemos.com/evidence/633e805b-8efa-4b9f-8667-7b79bb93072c"},{"id":"09e56c77-5be8-4485-90bc-76a453f3197a","tool":"happyscribe","tool_name":"HappyScribe","verdict":"worked","score":null,"score_total":null,"note":"AI chat answers a meeting question with a grounded transcript-backed response, returning that the call was scheduled for '6th August' and explicitly indicating it is reading the transcription.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/04410e535a0e4f95add9df3c5cd7e79c.png?v=1","evidence_url":"https://aidemos.com/evidence/09e56c77-5be8-4485-90bc-76a453f3197a"},{"id":"75aaf0b0-c9d5-4376-8b81-5b6f2574c0fb","tool":"meetgeek","tool_name":"MeetGeek","verdict":"mixed","score":null,"score_total":null,"note":"It answers direct grounded questions correctly, but the report records an incorrect answer on a speaker-dependent scheduling question, so chat is reliable for simple queries but weaker when attribution/context matters.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/e84f2cebcccd4af092aff8637baab736.png?v=1","evidence_url":"https://aidemos.com/evidence/75aaf0b0-c9d5-4376-8b81-5b6f2574c0fb"},{"id":"b58378a0-5d37-4751-a711-f2d028fa4401","tool":"notta","tool_name":"Notta","verdict":"worked","score":null,"score_total":null,"note":"The Q&A interface answered a natural-language question with a grounded response from the meeting record, including the specific date \"6th August,\" and the report observed no hallucinations.","artifact_count":1,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/a822259cb8bf403a96a2d5814c1b7036.png?v=1","evidence_url":"https://aidemos.com/evidence/b58378a0-5d37-4751-a711-f2d028fa4401"},{"id":"295ea299-5f4d-480e-8ff7-36708e2bc9f7","tool":"otter-ai","tool_name":"Otter.ai","verdict":"worked","score":null,"score_total":null,"note":"Otter’s AI Chat answered meeting questions with a grounded response and a specific timestamp, and the report says the answers were cited and free of hallucinations in the tested queries.","artifact_count":2,"thumbnail":"https://cdn.futuresmart.ai/public/aidemos/e5aefd3684124771a718737d9c8d1754.png?v=1","evidence_url":"https://aidemos.com/evidence/295ea299-5f4d-480e-8ff7-36708e2bc9f7"}],"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":"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":"46b5c695-1c28-461a-ad98-573516adf29f","criterion":"topic-segmentation","criterion_name":"Topic Segmentation","rank_role":"context","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.\"","artifact_count":2,"evidence_url":"https://aidemos.com/evidence/46b5c695-1c28-461a-ad98-573516adf29f"},{"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":"b8fe3f78-ae35-4ccf-b887-6188bac5ad2f","tool":"fellow","tool_name":"Fellow","verdict":"worked","score":null,"score_total":null,"note":"Ask Fellow returned grounded answers to natural-language questions against the meeting notes, and the tested query produced a cited response rather than an unsupported hallucination."},{"id":"9080d7d0-7707-4182-b68c-0e1f61c09488","tool":"fireflies-ai","tool_name":"Fireflies.ai","verdict":"worked","score":null,"score_total":null,"note":"AskFred answered a natural-language question with a specific grounded response ('August 6th') and relevant context, with no hallucination reported in the tested query."},{"id":"633e805b-8efa-4b9f-8667-7b79bb93072c","tool":"granola","tool_name":"Granola","verdict":"worked","score":null,"score_total":null,"note":"The chat/Q&A surface gives grounded answers from the meeting record: on the tool-access question it says access was confirmed that day, cites both the notes and transcript, and identifies rerunning testing as the next step."},{"id":"09e56c77-5be8-4485-90bc-76a453f3197a","tool":"happyscribe","tool_name":"HappyScribe","verdict":"worked","score":null,"score_total":null,"note":"AI chat answers a meeting question with a grounded transcript-backed response, returning that the call was scheduled for '6th August' and explicitly indicating it is reading the transcription."},{"id":"75aaf0b0-c9d5-4376-8b81-5b6f2574c0fb","tool":"meetgeek","tool_name":"MeetGeek","verdict":"mixed","score":null,"score_total":null,"note":"It answers direct grounded questions correctly, but the report records an incorrect answer on a speaker-dependent scheduling question, so chat is reliable for simple queries but weaker when attribution/context matters."},{"id":"b58378a0-5d37-4751-a711-f2d028fa4401","tool":"notta","tool_name":"Notta","verdict":"worked","score":null,"score_total":null,"note":"The Q&A interface answered a natural-language question with a grounded response from the meeting record, including the specific date \"6th August,\" and the report observed no hallucinations."},{"id":"295ea299-5f4d-480e-8ff7-36708e2bc9f7","tool":"otter-ai","tool_name":"Otter.ai","verdict":"worked","score":null,"score_total":null,"note":"Otter’s AI Chat answered meeting questions with a grounded response and a specific timestamp, and the report says the answers were cited and free of hallucinations in the tested queries."}]}