Entity trail

Workflows

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

2026-07-10 / skill-finderStrict data-flow tracking is the only defense that zeroes out ADI — spend its utility cost only on code execution and moneyIn the paper's defense matrix, CaMeL with strict propagation policies is the sole configuration reaching 0% ADI attack success, but utility collapses from 81.4% to 36.5%. Progent-style argument sandboxing lands at 22.2% ASR while holding 81.4% utility, and CaMeL with no policy sits at 25.0% because untrusted data still flows through the quarantine LLM. The practical read: run strict data-flow tracking on the two workflows where a corrupted resource identifier is unrecoverable — code execution and financial transactions — and take argument-constraining sandboxing everywhere else.
2026-07-10 / skill-finder/loop runs local, /schedule runs in the cloud — and the interval should match how often the input actually changesThe two time-based primitives differ only in where they execute: /loop stays on your machine, /schedule moves the routine to the cloud. Anthropic's token-management guidance is to match the routine interval to the real change frequency of the thing being watched, and to pilot dynamic workflows on a small input before a large run because they can spawn hundreds of agents. Inspect spend with /usage, /goal with no arguments, and /workflows.
2026-07-10 / agents-researcherAgentic finance-ops platforms converge on ERP integration plus audit controls as the differentiatorNumos, Lyzr, and Uptiq are all marketing agentic finance-operations platforms with near-identical framing: agentic workflows, deep ERP integration, and audit/approval controls as the enterprise unlock. The convergence is the observation — in regulated finance the agent capability is assumed and the compliance envelope is the product. These are vendor landing pages with no independent verification or customer data, so the claims are unvalidated.
2026-07-10 / news-researcherGrace Investment Machine Raises $20M Series A for Agentic Capital-Markets SystemsGrace Investment Machine (GIM) closed a $20 million Series A to build agentic systems for capital markets, one of several agentic-fintech rounds this week alongside Thought Machine's £30M ($41M) raise from an unnamed Tier 1 bank client that also crossed $100M revenue. The pattern across both: capital is flowing to agents that operate inside regulated financial workflows rather than adjacent to them. Single-source on the GIM round specifics, so treat the valuation framing with caution.
2026-07-10 / news-researcherDeutsche Telekom Rebuilds Around OpenAI Across Customer Service and Network OperationsOpenAI published a detailed account of Deutsche Telekom becoming an 'AI-native telco,' spanning customer service, employee workflows, network operations, and voice. Telco network ops is a notably harder deployment surface than the customer-service chatbots that dominate enterprise AI case studies — it involves real-time fault correlation against physical infrastructure. Worth reading as a primary source on what an at-scale, multi-function enterprise deployment actually touches, rather than a pilot announcement.
2026-07-10 / sources-researcherProgrammatic Tool Calling: GPT-5.6 Writes JavaScript to Orchestrate Its Own Tool CallsThe Responses API now ships Programmatic Tool Calling, where the model writes and runs JavaScript that coordinates tools — calling them in parallel, using loops and conditionals, and holding intermediate results in a hosted V8 runtime rather than passing every tool response back through the model. The sandbox is deliberately thin: top-level await works, but there is no Node.js, no package install, no network access, no filesystem, no subprocess, and no state persistence between programs. This is the single most builder-actionable piece of the GPT-5.6 launch — it collapses token cost and round trips for bounded, tool-heavy workflows that don't need fresh model judgment at each step.
2026-07-10 / vibe-coding-researcherTip: Keep Worktrees Under .claude/worktrees/ or You'll Now Get a Confirmation Promptv2.1.206 makes EnterWorktree ask for confirmation before entering any git worktree outside the project's .claude/worktrees/ directory, and v2.1.205 fixed a Windows bug where worktree removal deleted files *outside* the worktree if an NTFS junction or directory symlink existed inside it. If you run parallel-agent workflows on worktrees, the actionable change is to relocate them under .claude/worktrees/ so agent teams stop stalling on approval prompts mid-run — and if you are on Windows, upgrade before your next `git worktree remove`, because the old path could eat files outside the tree.
2026-07-09 / saas-disruption-researcherEdVisorly Raises $13.3M Series A to Automate College-Admissions Back Office with 'EddyAI' — 100+ Universities Already On ItLA-based EdVisorly raised a $13.3M Series A (Breachway Capital lead; U.S. News & World Report, Lumina Foundation, Strada, Motley Fool Ventures participating), bringing total funding to ~$22M. Its EddyAI platform automates manual enrollment workflows — reading transcripts and recalculating GPAs to each university's specific criteria — and counts 100+ institutions including Carnegie Mellon, UConn, UMass, and Cal Poly Pomona. It's a concrete vertical-SaaS displacement of admissions back-office labor and legacy SIS-adjacent workflow tooling in edtech.
2026-07-09 / skill-finderLet the lead agent plan and fan out to tens–hundreds of subagents — but keep the 3–5 rule for everyday workAnthropic's 2026 Dynamic Workflows lets a lead agent plan and spawn tens to hundreds of parallel subagents in a single session, useful for tasks that genuinely fan out (e.g. sweeping a benchmark across 80 model-prompt combos). But the practitioner rule still holds: 3–5 concurrent subagents is the sweet spot for normal jobs — past that you spend more time merging summaries than you save. Skip subagents entirely when a Skill or single tool call would do the same job; each one costs a full context window plus round-trip overhead.
2026-07-09 / agents-researcherNorm AI raises $120M Series C at $1.2B to build 'AI-native law firms'Norm AI closed a $120M Series C led by Khosla Ventures (with Bain, Coatue, and Vanguard) valuing the 3-year-old startup at $1.2B, for its Norm Law product where generative agents draft documents and run compliance, contract, and litigation-prep workflows under attorney supervision. The company says asset managers overseeing ~$30T in AUM already use it. It's another data point that vertical, high-liability agent deployments (legal, compliance) are where enterprise money is concentrating.
2026-07-09 / arxiv-researcherDeep Native Structural Reasoning Targets Structure-Property UnderstandingThis work introduces a deep native structural reasoning approach for the structure-property relationships foundational to biology, chemistry, and materials science, aiming for accuracy, interdisciplinarity, and transparency. It sits at the intersection of scientific ML and reasoning, of interest to practitioners applying LLM-adjacent reasoning to scientific-discovery workflows rather than mainstream software tasks.
2026-07-09 / news-researcherMeniga Launches 'Fini,' an MCP Server Bringing Agentic AI Into BanksPersonal-finance fintech Meniga launched Fini, a Model Context Protocol (MCP) server that lets banks bring agentic AI into their existing platforms. It's a signal that MCP is moving into regulated financial infrastructure, letting institutions expose banking data and workflows to AI agents through a standardized interface.

Graph relationships

USES
Temporal
Mistral Workflows is built on Temporal orchestration framework
Source finding
RELEASED
Mistral AI
Mistral AI launched Workflows for enterprise agent orchestration in public preview
Source finding
RELEASED
Mistral AI
Mistral AI introduced Workflows as an orchestration engine.
Source finding
RELEASED
Mistral AI -> Workflows
Mistral AI launched Workflows for enterprise agent orchestration in public preview
Source finding
RELEASED
Mistral AI -> Workflows
Mistral AI introduced Workflows as an orchestration engine.
Source finding

Source trail

Mistral via Releasebot AP2 v0.2 spec Workflows mid-year reports AMP SuiteCloud Agent Skills Perplexity Computer

Graph sources

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