Entity trail

Custom Agents

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

Briefing refs

Findings

Edges

Sources

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

Corpus findings

2026-08-20 / news-researcherWestpac Contracts Amp Frontier Corporation to Build AI Agents for Its Software EngineeringAustralian bank Westpac signed with San Francisco-based Amp Frontier Corporation to build a suite of AI agents for software engineering tasks. A tier-one regulated bank buying agent tooling for internal engineering, rather than for customer service or fraud, is the adoption datapoint that matters, because engineering agents touch production code under audit. Watch whether the contract terms disclose anything about code provenance and review requirements.
2026-08-20 / rss-researcherAxonius cut multi-tenant agent buildout from eight weeks to ten days using a runtime per customerAWS published Axonius's architecture for running AI agents across hundreds of isolated customer environments, using a silo model where each tenant gets a dedicated Bedrock AgentCore runtime and every user session runs in its own microVM that is terminated and memory-sanitized on completion. The stack pairs that with Bedrock Knowledge Bases metadata filtering for tenant data separation, Guardrails on responses, VPC Lattice for private connectivity, and per-tenant ECR images provisioned via CloudFormation. Axonius says the approach took development from an estimated eight weeks of custom infrastructure to ten days, and it tracks token spend per tenant through CloudWatch with automated IAM-deny policies on runaway usage.
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 / thought-leaders-researcherPeter Yang Ships a Grok Bot vs Hermes vs ChatGPT Work Head-to-Head and Calls Grok Bot 'a Glimpse Into the Future of Personal AI Agents'Yang published a tutorial on Aug 17 (1,065 likes) walking through five useful bots to set up on xAI's Grok Bot, followed by a direct comparison: Hermes wins on being open source and customizable but requires DIY setup on a Mac Mini or VPS; ChatGPT Work has best-in-class browser and voice but a confusing UX split across Chat, Work and Codex and a browser that can't yet authenticate to your apps. Grok Bot itself shipped Aug 11 as always-on agents each given a persistent cloud computer with its own browser, filesystem and terminal, bundled into SuperGrok Heavy, Cursor Ultra ($200/mo) and Cursor Teams Premium ($120/seat/mo).
2026-08-17 / saas-disruption-researcherCROSS-CATEGORY: The Unit of Sale Is Now Openly Labor — $1/Hour in Convenience Retail, $0.50–$2.00 Per Resolved Ticket in Support, and Seat-Based Pricing Fell From 21% to 15% of SaaS in a YearOctane's August 14 launch priced an AI store operator at $1/hr; the support category has already converged on a per-resolution band with HubSpot's Customer Agent at $0.50 (cut from $1.00 per conversation in April), Intercom Fin at $0.99, Zendesk AI Agents around $1.50 and Salesforce Agentforce at $2.00. A Pilot study puts seat-based pricing down from 21% to 15% of SaaS companies in twelve months while hybrid models climbed from 27% to 41%. Three different categories independently stopped pricing access and started pricing completed work — which means the comparison a buyer makes at renewal is no longer to another vendor, it is to a payroll line.
2026-08-16 / saas-disruption-researcherChert Extended From iMessage Agents to 'Vapi for FaceTime' — AI Video Agents Behind a Few Lines of APIChert, previously a platform for building AI agents that text customers over iMessage, launched AI video agents for FaceTime on Product Hunt today (110 upvotes, #5), positioning itself as 'Vapi for FaceTime.' The existing product already integrates with Salesforce, HubSpot, and Close on the CRM side and Vapi and Slack on the tooling side, so the video layer lands inside stacks that already route support and sales conversations through it. The interesting move is channel capture rather than model capability: Apple's native comms surfaces are becoming a distribution channel for support agents, which is a flank the Zendesk/Intercom widget was never built to defend.
2026-08-15 / saas-disruption-researcherDatabricks Crossed $7B ARR Growing 80% — a 30-Point Acceleration — and Ali Ghodsi Named the Catch: Agents Generate Far More Queries Than HumansDatabricks disclosed $7B+ ARR growing 80% year over year alongside its $5B round led by Coatue at a $190B valuation, an acceleration from roughly 50% growth a year earlier between $4B and $7B. New product disclosures include Lakebase at $100M+ run-rate and Lakehouse at $1.5B+ growing over 100%, with 1,000+ customers above $1M run-rate (up from 650+ in September 2025) and net retention above 140%. Ghodsi's framing is the important part for builders: agents generate 'way more queries' than humans, which compresses gross margin — but a consumption-priced vendor gets paid for that extra volume, which is precisely why seat-priced incumbents cannot run the same play.
2026-08-13 / saas-disruption-researcherMonday.com: AI ARR Doubled Quarter Over Quarter and Now Drives 17% of Net New ARR, the First Expansion Vector That Is Not Human SeatsIn its August 10 Q2 2026 call monday.com reported $365M revenue up 22% year over year, ARR crossing $1.5B in July, and AI ARR doubling from Q1 to Q2 to reach 17% of net new ARR, with net dollar retention at 109% and guided down to 108% for FY2026. Co-CEO Roy Mann said customers are reaching the end of their AI consumption buckets and topping up, and co-CEO Eran Zinman called it the first time customers expand on AI consumption rather than only human seats. This is the concrete counter-evidence to the thesis that agents collapse per-seat NRR: the seat-plus-credit hybrid is producing measurable expansion, at least while credit buckets are still being sized generously.
2026-08-13 / hn-researcherOJCP: Workday and Seven Others Publish an MCP-Based Open Protocol for Agent-Consumable Job FeedsThe Open Job Context Protocol surfaced on HN as a v0.1 draft spec built on MCP and schema.org, backed by eight founding members spanning employers, ATS vendors, job boards, and agent platforms — Workday, CrossCountry Healthcare, Recruitics, LoopCV, Hiring.cafe, aiApply, scale.jobs, and Tink — under a steering committee with no single-vendor veto. It defines six MCP tools (only search_jobs mandatory), seven schemas including JobPosting, CandidateContext, and AgentDeclaration, a five-type taxonomy of application paths (ats_direct, provider_hosted, platform_native, email, custom), and discovery via /.well-known/ojcp.json manifests, with resume embeddings meant to avoid transmitting PII. It's a draft with a mock-data playground and no disclosed production adopters, but it's the first serious attempt to standardize the job-application surface agents are already scraping.
2026-08-13 / thought-leaders-researcherGuillermo Rauch Describes Vercel's Internal Agent 'v' Serving All ~1,000 Employees as the Enterprise Killer AppIn an Aug 12 conversation, the Vercel CEO argues the enterprise agent is to this platform shift what the killer app was to PCs and mobile, using Vercel's own internal agent as the proof: it synthesizes company knowledge and customer data into answers for a roughly 1,000-person org. This is a narrower, more falsifiable claim than his July framing about splitting models from agents — the pitch is now company-wide institutional memory, not coding assistance.
2026-08-12 / saas-disruption-researcherMindset AI Is Selling a Control Plane for the Agents Mid-Market SaaS Teams Already Built on Their LaptopsMindset AI's platform targets Heads of AI at mid-market B2B SaaS companies with a specific and increasingly common failure mode: business-critical agents, skills, and MCP servers that were built locally on individual developer machines and never moved onto governed shared infrastructure. The product imports those assets into a registry, adds visual builders for non-technical users, sandboxes connections to APIs and tools, and deploys to chat interfaces, headless SDKs, and platform APIs while watching real usage for failing conversations. No funding, customer counts, or dated announcements are published, so this is a positioning signal rather than a traction signal — but the fact that 'ungoverned laptop agents' is now a fundable category is itself the finding.

Graph relationships

RELEASED
Notion
Notion released Custom Agents operating autonomously 24/7 via MCP connections.
Source finding
RELEASED
Notion
Notion 3.3 ships Custom Agents running 24/7 on triggers and schedules.
Source finding
PARTNERS WITH
HubSpot
Notion Custom Agents integrate with HubSpot via MCP.
Source finding
PARTNERS WITH
Linear
Notion Custom Agents integrate with Linear via MCP.
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PARTNERS WITH
Figma
Notion Custom Agents integrate with Figma via MCP.
Source finding
PARTNERS WITH
Slack
Notion Custom Agents integrate with Slack via MCP.
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USES
MCP
Notion Custom Agents use MCP to connect with external services including Slack, Mail, Calendar, Figma, Linear, HubSpot, Asana.
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COMPETES WITH
Zapier
Notion Custom Agents directly competes with Zapier automation platform.
Source finding
RELEASED
Notion -> Custom Agents
Notion released Custom Agents operating autonomously 24/7 via MCP connections.
Source finding
RELEASED
Notion -> Custom Agents
Notion 3.3 ships Custom Agents running 24/7 on triggers and schedules.
Source finding

Source trail

Finextra AWS Machine Learning Blog WorkOS (Product Hunt Aug 18 rank verified; original announcement dated Aug 4, 2026)Superflow (rank verified on the Product Hunt Aug 18 daily leaderboard)X/Twitter Multiple Sources (per-resolution rates from Quickchat AI and Fin.ai benchmarks; Octane pricing from getoctane.ai, Aug 14; seat-share shift from the cited Pilot study)Product Hunt (single-source on the FaceTime launch; the iMessage product and CRM integrations verified on Chert's own listing)SaaStr (round corroborated by Crunchbase News weekly funding roundup, Aug 14)Monday.com Q2 2026 earnings call via Yahoo Finance OJCP / Hacker News Frank's World of Data Science Mindset AI (vendor page; no funding, customers, or dates disclosed)

Graph sources

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