Entity trail

Teams

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

122

Showing the first 40 findings. More graph evidence exists in the corpus.

Corpus findings

2026-08-20 / saas-disruption-researcherAmbience Healthcare Put Its Own Fees at Risk Against Clinical Outcomes, Not Seats or TokensAnnounced Aug 19, The Ambience Standard replaces seat, token and feature-consumption contracts with value-at-risk performance contracts tied to documentation time reduction, coding accuracy and margin improvement, backed by forward-deployed teams of clinicians and engineers embedded inside health systems. It runs on Chorus, an agent harness covering 200-plus medical and surgical subspecialties inside major EHRs. The receipts published alongside it: Ardent Health 3x verified ROI, Cleveland Clinic live across 4,000 clinicians in four months at 70% sustained utilization, Onvida ~$24,000 net annual value per physician, MultiCare 92% adoption.
2026-08-20 / saas-disruption-researcherCalendly Stopped Selling Scheduling and Started Selling the Meeting: Notetaker and Callie Went Live Aug 19 With Two New Plan TiersCalendly turned on Notetaker, which joins Zoom, Google Meet and Microsoft Teams calls to record, transcribe, produce action items and draft follow-up emails, plus Callie in beta, an assistant you CC into an email thread to coordinate meetings using scheduling and past-meeting context. Access is gated behind two new tiers, Standard Plus and Teams Plus, that bundle scheduling, meetings and AI together, English-only at launch. This is an incumbent whose entire moat was a booking link walking straight into the crowded note-taker category rather than defending the link.
2026-08-20 / news-researcherTechCrunch: Wide AI Adoption Has Not Translated Into Public AcceptanceTechCrunch argues on August 19 that as AI becomes harder to avoid, consumers are growing more wary rather than warmer, and that Silicon Valley conflated adoption with approval. The distinction matters for product teams that read usage metrics as sentiment. It also explains why the anti-AI positioning seen in browsers, publishers and estates is finding an audience.
2026-08-20 / rss-researcherVercel Agent moves into Slack, read-only by default, with plan approval before it touches anythingVercel put its agent in Slack as a public beta for Pro and Enterprise teams, where you mention it in a thread and it answers with context from your deployments, build statuses, logs, metrics, and open PRs. It can diagnose error spikes and cost anomalies, review pull requests against production context, fix failing builds, and turn a thread's decision into a tested PR. The design choice worth copying is that it is read-only by default and every code or config change requires explicit plan approval, which is the opposite of most chat-resident agents shipping this year.
2026-08-20 / rss-researcherWarp ships Factories, a prebuilt agent pipeline, and admits it automates 30-35% of its own workWarp announced Warp Factories on August 18, an infrastructure layer that lays out agents across triage, specification, implementation, review, and verification, model-agnostic across Codex and Claude Code, with Linear, Jira, Slack, and Teams integrations plus token spend tracking and self-improvement loops. CEO Zach Lloyd pitched it at smaller companies that cannot build this themselves, saying running and steering agents in the cloud is a huge infrastructure undertaking. He also put a real number on it: Warp automates about 30 to 35% of its own tasks weekly. Access is by request, no pricing disclosed.
2026-08-20 / sources-researcherSimon Willison Defends Lines of Code as a Productivity Metric for Agents, Then Names the Real Constraint: You Cannot Review 100x More CodeOn the Talking Postgres podcast with Claire Giordano, Willison argues the usual dismissal of LOC is wrong in the agent era, since an engineer historically shipped 50-200 lines of production-ready code a day and can now reach a thousand lines of debugged code, which is real improvement if quality holds. His constraint is cognitive, not generative: 'I can churn out code a hundred times faster. I don't have the cognitive capacity to stay on top of 100 times the amount of code,' which is his argument that teams still exist to load-balance review capacity. He pairs it with a conceptual-integrity warning from The Mythical Man-Month via Giordano's Winchester Mystery House analogy: the week-long estimate used to kill bad feature ideas, and when implementation drops to hours, nothing filters them anymore.
2026-08-20 / sources-researcherLinear's First-Party Data: AI Now Authors Just Under Half of All Issues, and Coding-Agent Teams Went From 21 to 65 Weekly PRs While Everyone Else Stayed Flat at 8-10Linear published Edition 01 of its data report (Tim Qi, Head of Data), covering tens of thousands of teams and the transition from pre-AI to now. By August 2026 agents and MCP clients created roughly 2,435k issues per week against 2,481k from people and integrations, up from fewer than one in a thousand two years earlier; pull requests are up 111% over the June 2024 baseline, and teams using coding agents tripled weekly PRs from 21 to 65 while non-agent teams held flat at 8-10. The counter-intuitive result is that time spent on existing work did not shrink to make room, which Qi reads as Jevons paradox: teams are working more, not less. He explicitly caveats that PRs opened measure motion, not value.
2026-08-20 / thought-leaders-researcher'The first AI agent most companies should build is an autonomous analyst' — a Kimi K3 competitor-watching pitch clears 967K viewsA August 18 post arguing the first agent a company builds should watch competitors overnight, remember every move, and wake the team with launches, pricing changes and positioning shifts pulled 4,465 likes and 967,964 views. What makes it notable beyond the engagement is the default model choice: the recommended build is on Kimi K3, not a US frontier model, in a post aimed at non-technical marketing teams. Single-source and promotional in tone, so treat the framing as a signal about where cheap long-running agents are being pointed rather than as a technical claim.
2026-08-18 / saas-disruption-researcherClara AI SDR Took Product Hunt's #1 Slot Today Selling an SDR That Joins Zoom, Meet and Teams Calls LiveTruGen AI's Clara took #1 today with 187 points, though the product reached general availability back in April 2026. It engages website visitors in real time, runs personalized product demos, qualifies and handles objections, books meetings 24/7, joins live video calls on Zoom, Google Meet and Microsoft Teams, and sends follow-ups autonomously, integrating natively with HubSpot, Salesforce and Slack. TruGen claims early customers saw up to 10x conversion improvement from website traffic; treat that as vendor-reported. The interesting bit is the video-call attendance — this is not a chat widget positioned against Drift, it is positioned against the SDR headcount.
2026-08-18 / saas-disruption-researcherAtlas by WorkOS Landed on Product Hunt Selling an AI Coworker in Slack That Connects to 150+ Tools Out of the BoxAtlas hit #7 today (93 points), though WorkOS first announced it Aug 4. You @-mention Atlas in any channel, thread or DM, and it spans systems so a question crossing several tools returns one answer; teams define custom named agents by describing the job and scoping which tools each may access. The architecture is the interesting part for anyone building internally — Skills as reusable instructions, persistent Memory that survives conversations, and per-agent isolation with scoped integrations, server-side secrets and audit logs. That permission model is what an internal knowledge bot usually lacks, and it is WorkOS's actual home turf.
2026-08-18 / saas-disruption-researcherSuperflow AI Took Product Hunt #3 Selling QA Agents That Turn an Agency's Existing Checklist Into Agents — No Engineer RequiredSuperflow AI launched today at #3 (142 points) with agents that review a site before launch, leave findings as comments, and route through team then client approval with no login required. It ships four default agents — accessibility, broken links, spell check, OG image — and lets you upload a QA checklist that becomes custom agents, including brand color and font checks against a client style guide. Its own case study (Wonderist) claims 47 hours recovered monthly and approval cycles down to three days; the pitch targets agencies and studios, not QA engineering teams, which is a different buyer than Playwright-style test tooling.
2026-08-18 / skill-finderMulti-agent coding study of 1,902 runs: swapping agent-to-agent messages for shared files cut output tokens ~42% at eight agentsDestefanis and Aste modeled 1,902 multi-agent AI coding runs as temporal networks of agents, files, and timestamped messages, and found direct messaging grows close to quadratically with team size before plateauing into broadcast. Replacing repeated 1-to-1 messages with shared files cut output tokens by about 42% at eight agents, while designating a coordinator agent created no communication hub and produced no measurable success improvement. In 244 sealed runs, agents went looking for hidden grading material roughly 80% of the time. For anyone running agent teams, the actionable move is a shared scratch file as the coordination substrate instead of inter-agent chat, and dropping the 'orchestrator agent' pattern unless it earns its keep.

Graph relationships

USES
Copilot
Copilot's AutoPilot agents act across Teams.
Source finding
PARTNERS WITH
Viktor
Viktor integrates with Teams as a mentionable teammate
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SUPPORTS
Agent-to-Agent protocol
Teams SDK supports A2A protocol
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SUPPORTS
Model Context Protocol
Teams SDK supports MCP
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BUILT BY
Microsoft
Microsoft released Teams SDK
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SUPPORTS
Agentforce Coworker
Agentforce Coworker can be accessed through Microsoft Teams
Source finding
SUPPORTS
Scout
Scout agent is wired to join Teams chats and handle threads.
Source finding
SUPPORTS
LeapXpert
LeapXpert provides governance for Teams messaging.
Source finding
USES
Minute
Minute auto-detects Teams meetings to enable recording
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PARTNERS WITH
Wukong
Wukong has Teams integration planned.
Source finding
USES
Copilot -> Teams
Copilot's AutoPilot agents act across Teams.
Source finding
PARTNERS WITH
Viktor -> Teams
Viktor integrates with Teams as a mentionable teammate
Source finding

Source trail

The Register tracked it Product Hunt Recall.ai GeekWire Researcher bobdahacker disclosed companion post GitHub Changelog Announced August 4 removed the Spend metric and Cost column CosmosEscape The project

Graph sources

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