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snapsynapse/README.md

Snap Synapse

Sam Rogers

I build AI on-ramps for humans.

SponsorLinkedInsam-rogers.comSignals & Subtractions · Show

Twenty years building learning and certification systems, including the first YouTube Certified online training program at Google. As someone working with LLMs before they had chatbots attached, I apply my diverse experience to the newest workforce transition: humans working with AI.

I run two companies from this personal account. PAICE.work PBC builds AI collaboration measurement products. Snap Synapse LLC is my consulting practice and steward of several open standards.

Systems do not generally fail because the tech is bad. They fail at the handoffs between roles, between agents, between decisions that no one designed to connect. I build the standards, diagnostics, and tooling that make human-AI collaboration structurally sound, not just technically possible.


Start here

If you are...Start withWhy
Running AI agents safelyHarnessieGives you a brain-agnostic harness with verification gates, consent, ownership lanes, and fail-closed controls
Coordinating multiple agentsAI Decision RecordsProvides a consent-based peer protocol without a central orchestrator
Building assistant-facing setup docsGuideCheckGives assistants a bounded, human-reviewable assistant-guide.txt before they act
Publishing regulatory interpretationsPubLedgeMakes JIAs, RMAs, no-action letters, and advisory opinions hash-pinned and machine-readable
Measuring AI readinessAI PostureScores readiness across people, infrastructure, and regulation
Auditing AI-generated UIA11y AuditRuns portable WCAG 2.1 AA checks on agent-authored web code

Verifiable signals

Current signals, all checkable:


The thesis: measure the whole system, not just the model

Most AI readiness assessments measure the technology. But an organization's real AI capability is bounded by three things at once: whether its people can actually work with AI (not whether they say they can), whether its digital infrastructure is usable by AI agents acting for customers, and whether it understands the regulations it is already subject to. AI Posture is the open framework that scores all three and reports the weakest as the bound. One number, three places to invest.

What it measuresProduct
How effectively humans and AI actually collaborate, measured behaviorally rather than by self-reportPAICE.work
The first public end-to-end agent-readiness scanner, testing reachability, comprehension, navigation, actionability, protocols, and standardsSiteline
How prepared an organization is for AI-specific complianceEveryAILaw

PAICE Portfolio

Released independently because interoperability is the point, not lock-in. Portable specs and tools for agent infrastructure, governance, and machine-readable public knowledge. Status meanings: Stable means a tagged release at 1.0 or later, tests in CI, and no recent breaking changes; Active means evolving and usable now.

All nine PAICE projects (AI Posture is the thesis; the rest operationalize it)
ProjectGroupStatusUse it when...Site
ai-postureThesisActiveOne governance score is needed across People, Infrastructure, and Regulation, bounded by the weakest armaiposture.org
publedgeRegulationActiveRegulatory interpretations need open, hash-pinned, ontology-bound recordspubledge.org
ai-incident-lawRegulationActiveAI-related legal and regulatory incidents need searchable public trackingaiincidentlaw.org
graceful-boundariesSubstrateStableServices need to communicate operational limits to humans and autonomous agentsgracefulboundaries.dev
skill-provenanceSubstrateActiveAgent skill bundles need version identity, manifests, and provenanceskillprovenance.dev
knowledge-as-code-templateSubstrateStableStructured knowledge bases need ontology-first version controlknowledge-as-code.com
obligation-firstSubstrateActiveLaws, cases, and agreements need machine-readable structure around who owes what to whomobligationfirst.org
guidecheckSubstrateActiveAssistant-facing setup guides need a bounded, human-verifiable profileguidecheck.org
turnfileSubstrateActiveMultiple agents need consent-based collaboration without a central orchestratorturnfile.work

Snap Synapse open standards

Open standards stewarded by Snap Synapse LLC. Used across the PAICE portfolio and beyond.

Three standards
ProjectStatusUse it when...Site
hardguard25StableIdentifiers must survive handoff between people, print, and machineshardguard25.com
ai-tool-watchActiveAI capability assessments need a plain-English, model-verified referenceaitool.watch
skill-a11y-auditActiveAgent-generated web code needs WCAG 2.1 AA quality gatesskilla11y.dev

Snap Synapse utilities

Personal tooling. Open source.

Five utilities
ProjectStatusUse it when...Site
resumeActiveRecruiters need concise work history, AI-assisted Q&A, and job-description fit assessmentsam-rogers.com
prompter-kitMaintainedYour Elgato Prompter needs script tools the vendor did not shipprompterkit.app
virtual-classroom-watchActiveVirtual classroom platforms need comparable feature trackingVirtualClassroom.watch
substack2mdStableSubstack newsletters need local Markdown archives for consistent RAG storagesubstack2md.space
audible-pdf-renamerMaintainedAudible PDF companions need useful file namesN/A

Contributing upstream

Active contributor to other people's projects that I use and care about.

ProjectUpstreamContribution
OB1Nate B. Jones' Open Brain3 merged PRs and 7 upstream commits: Obsidian vault import recipe, local Ollama embeddings, openbrain.fyi landing page. More in review.
agentlinkMartin Mose Facondini's agentlinkOpen PR proposing detect, scan, hooks, and sync --backup commands with integration tests

Support this open infrastructure

The open standards and tooling above are free and always will be. Sponsorship keeps specs evolving, tests passing, and tooling free for everyone. The commercial products, including PAICE.work, Siteline, and EveryAILaw, sustain themselves through paid tiers.

github.com/sponsors/snapsynapse


Collaborating

I am looking for early adopters and co-designers, not hires: people willing to run one of these specs against their own project and file issues, and people working on agent communication protocols, human capability measurement, or AI governance who want interoperable building blocks. Reach out: hello@sam-rogers.com

Pinned Loading

  1. guidecheckguidecheckPublic

    AI setup guides can hide instructions a model reads but a human never sees. GuideCheck is the plain-text standard that makes an assistant's instruction surface reviewable before it acts.

    Python 5

  2. substack2mdsubstack2mdPublic

    Convert Substack posts to clean, Obsidian-friendly Markdown using your authenticated browser session.

    Python 23 3

  3. harnessieharnessiePublic

    Harnessie: a brain-agnostic multi-agent harness (orchestrator / workers / verifiers) with verification gates, routing policy, and file-based project memory.

    Python 1

  4. agentlinkagentlinkPublic

    Sync one AGENTS.md to every AI coding tool — symlinks, no codegen

    Go 1

  5. knowledge-as-code-templateknowledge-as-code-templatePublic template

    A template for building structured, self-healing, agent-accessible knowledge bases. Zero dependencies. Git-native. Ontology-driven. Multi-output.

    JavaScript 5

  6. skill-provenanceskill-provenancePublic

    Version identity and integrity verification for Agent Skills. Tracks versions, detects staleness, and verifies bundle integrity with SHA-256 hashes across sessions, surfaces, and platforms.

    HTML 7 2