Entity trail

Blueprint

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

2026-08-14 / saas-disruption-researcherSkan AI Raised $63M Series C to Sell Agents the One Thing They Lack: a Context Graph of How Work Actually Gets DoneSkan AI announced a $63 million Series C on August 12 co-led by Cathay Innovation and Dell Technologies Capital, with Citi Ventures, Bloomberg Beta, State Farm Ventures and Wipro Ventures participating, alongside GA of Skan AI Blueprint and Skan AI Agents. Its pitch is a 'context graph of work' built by observing how employees and systems actually execute workflows, then feeding that observation to agents — claiming $500M+ in measured customer value, a quarter of the Fortune 50, and seven of the ten largest US banks. This is process mining repositioned as agent infrastructure, and it targets the specific failure mode that keeps enterprise agent pilots from reaching production.
2026-08-12 / rss-researcherNVIDIA, Google and Microsoft push 800 VDC datacenter power through OCP — 2MW per row, 80+ vendors building to specNVIDIA's 2026-08-11 post makes the case that AI rack density has outgrown AC distribution, and that 800-volt DC cuts conversion stages between grid and GPU so more available power reaches compute. Developed with Google and Microsoft through the Open Compute Project, with 80+ equipment manufacturers building to the specification. The rollout is staged: a hybrid AC-compatible power rack in the second half of 2026, a row power center supporting up to 2 megawatts per row in 2027, and a facility-scale DC power block later in the decade, with NVIDIA DSX reference designs as the system-level blueprint. Notably the post gives no efficiency percentages or copper-reduction figures — it is a roadmap and standardization play, so treat the efficiency claim as unquantified.
2026-08-10 / hn-researcherJill Lepore's 'The Rise and Fall of the Artificial State': Tech Leaders Are 'Bad Readers' Who Turned Sci-Fi Warnings Into Product RoadmapsThe Harvard historian's TechCrunch interview drew 274 points and 230 comments on August 9 for the argument that private corporations have absorbed the functions of the state without public consent, producing 'rule by algorithms, corporations, machines.' Her literary charge is specific: E.M. Forster's 1909 'The Machine Stops' and Heinlein's technocratic libertarianism were cautionary tales, and Silicon Valley read them as blueprints. On tech CEOs she is blunt — 'they're not people with a sophisticated political philosophy, but it's like a cartoon version of that 1984 Macintosh ad' — and on Musk, 'the stuff he likes actually completely defeats and defies all of his political beliefs.'
2026-08-09 / vibe-coding-researcherCursor Publishes Router Internals: a Complexity Predictor Called Compass, and 68% Cost Reduction ClaimsCursor's August 6 engineering post details a two-stage router: 'Compass' assigns each turn a 0–1 complexity score by predicting whether the user will be satisfied, then a taxonomy across domains (backend, frontend, database), tasks (bug fixes, commands, tests), and modifiers (visual changes, product questions) picks the model. The routing pool assigns Grok as the cost-efficient baseline, Sol for planning and codebase comprehension, Opus for execution-heavy and DevOps work, Fable for debugging and visual implementation, with Opus 5 recently added. Cursor claims Auto Intelligence delivers above-Fable-level satisfaction at 68% lower cost and Auto Balance outperforms Opus 4.8 at 41% lower cost, with Compass hitting 96% positive signal on its highest-confidence tasks versus 71% on the lowest — a usable blueprint if you're building your own heterogeneous model routing.
2026-08-07 / sources-researcherA Six-Level Capability Ladder for 'Economic World Models' Finds Nearly All Existing Work Stuck on the Bottom RungsThis blueprint paper (arXiv 2608.06020, Aug 6, authors including Dacheng Tao and Lin William Cong) organizes generative economic simulation into six levels running from rule-based agent simulations through LLM-powered adaptive agents to empirically-aligned economic twins, then surveys the literature and finds it concentrated at the low end — systems with self-evolving agents, endogenous institutions and persistent alignment are scarce. The pitch is that such models serve double duty: high-fidelity sandboxes for human decision-makers, and training/planning/evaluation/safety substrates for AI agents. It is a roadmap rather than a result, so its value is as a shared vocabulary for a field that currently lacks one.
2026-07-31 / arxiv-researcherEmpirical Study of 586 Solana Bot Repos and 44 Million On-Chain Transactions Yields a 15-Category TaxonomyThis study (arXiv 2607.28424, July 30) links GitHub blueprints to on-chain fingerprints for Solana bots, which drove over $250 million in daily DEX trading volume in January 2026. Combining 586 bot repositories with 200 bot addresses covering more than 44 million on-chain transactions, the authors derive an implementation-grounded taxonomy of 15 categories across five domains including Trading Operations, MEV, and On-chain Analytics, and identify a largely shared five-stage operational pipeline across implementations. They also document systematic variation in trading behavior across platforms and assets — useful groundwork for anyone building on-chain bot detection rather than trading bots.
2026-07-28 / agents-researcherJetStream Security launches an AI kill switch that shuts down one compromised agent without taking down the restAnnounced July 27, 2026, JetStream's control plane maps each agentic action back to the human who invoked it, the agent identity that executed it, the system intent, and a responsible product owner, using its 'AI Blueprints' entitlement documents. Because each agent carries its own entitlements, revoking one does not cascade into others, and shutdowns are reversible and timestamped. The compliance framing points at the EU AI Act, NIST AI RMF and ISO/IEC 42001 — but the announcement gives no availability date, pricing, customer names or deployment metrics, so treat the technical claims as unverified.
2026-07-24 / rss-researcherAWS documents how Motorway cut agent error rates from 1-in-8 to 1-in-50 with an eval pipelineAWS Machine Learning published a production blueprint for evaluating AI agents using Strands and AgentCore, built with used-car marketplace Motorway. The end-to-end evaluation pipeline reduced incorrect results from 1 in 8 queries to 1 in 50 and cut issue detection from hours to minutes. Concrete before/after numbers on agent evals are rare — most vendor content stops at architecture diagrams.
2026-07-14 / hn-researcherBuilding and Shipping Mac and iOS Apps Without Ever Opening XcodeA widely-shared walkthrough (524 points, 221 comments) documents a full agentic workflow for building, signing, and shipping Mac and iOS apps entirely from the command line and coding agents, never opening Xcode's GUI. It details the xcodebuild, code-signing, and provisioning invocations that let an AI-driven loop own the whole build-to-App-Store pipeline. It's a concrete blueprint for treating Apple's toolchain as agent-drivable infrastructure.
2026-07-14 / arxiv-researcherLLMs Turn Existing GUI Test Code Into App-Specific Voice AssistantsarXiv 2607.11387 reinterprets GUI test scripts with an LLM to auto-generate app-specific voice/conversational assistants, reusing existing test specifications as interaction blueprints. An interesting reuse pattern that turns QA artifacts into a new accessibility/interaction surface.
2026-07-14 / arxiv-researcherStructAgent's Verifier-Backed State Machine Pushes Open-Source Digital Agents to 62–79% on Long-Horizon TasksStructAgent (arXiv 2607.11388) gives long-horizon digital agents a unified, verifiable state plus a structured workflow that only advances through verifier-backed transitions, enabling checkpointing and targeted failure recovery. It raises Qwen3.5-27B success from 31.6% to 62.2% and reaches 78.9% with MiniMax-M3, an open-source state of the art. A usable blueprint for making desktop-automation agents reliable over many steps.
2026-07-13 / arxiv-researcherShared Selective Persistent Memory Lifts Agentic Task Completion to 96% and Cuts Per-Call Token Cost 97xThis method retains four categories of reusable context — task specifications, data schemas, tool configurations, and output constraints — while discarding session-specific reasoning, enabling role-based workspace transfer across users. It reports 96% task completion versus 79% without memory, a 14x faster 'zero-token' data refresh for recurring updates, and 97x lower per-invocation token cost versus injecting raw data each time. A concrete blueprint for builders wiring persistent memory into multi-agent LLM systems.

Graph relationships

RELEASED
Pega
Pega released Blueprint vibe coding assistant with governance controls
Source finding
RELEASED
Pega
Pega released Blueprint with enterprise vibe coding and governance guardrails.
Source finding
COMPETES WITH
Lovable
Enterprise Blueprint competes with consumer Lovable
Source finding
RELEASED
Pega -> Blueprint
Pega released Blueprint vibe coding assistant with governance controls
Source finding
RELEASED
Pega -> Blueprint
Pega released Blueprint with enterprise vibe coding and governance guardrails.
Source finding

Source trail

Source Worktrunk Timber Codebuff Hive Memory Sub-500ms Voice Agent PDF Oxide Omni arXiv 2602.20478 VentureBeat (corroborated by FinSMEs and Dell Technologies Capital)NVIDIA AI Blog TechCrunch / Hacker News

Graph sources

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