Object Invocation Protocol · protocol specification

Models reviewing OIP articles

#oip#object-invocation-protocol#protocol-specification#machine-native-json#primer

Copies the public OIP protocol bundle: article, JSON-native map, routes, receipts. No owner token.

§SELF — protocol specification
## §SELF — OIP protocol specification

**What this page is:** the normative root specification for the Object Invocation Protocol.

**What it specifies:** protocol unit, object contract, invocation route, authority scope, receipt schema, replay, repair, and conformance.

**Read:** https://miscsubjects.com/a/oip-model-review-loop
**Machine bundle:** https://miscsubjects.com/api/articles/oip-model-review-loop/bundle?format=markdown
**Live object tree:** https://miscsubjects.com/api/dispatch?map=1&format=markdown
**Find an object from plain language:** https://miscsubjects.com/api/dispatch?ask=<what you want>
**Read one object:** https://miscsubjects.com/api/dispatch?key=<KEY>&format=markdown

**Proof rule:** an action is not proven by intent, description, or a 200. It is proven by the ledger and the OIP receipt for the invocation.

What this article explains

This article describes how an Artificial Intelligence (AI) model reviews content. The model reads an Object Invocation Protocol (OIP) article. OIP is a standard for invoking objects. It uses plain Uniform Resource Locators (URLs) and receipts. It does not use a persistent session. Any model that can open a URL can use OIP. The miscsubjects.com website uses OIP. Each row in its directory is an OIP object.

The AI model judges two things. First, it checks if the article's machine-readable JSON is clear. JSON stands for JavaScript Object Notation. Second, it checks if the English article explains the same JSON clearly. This explanation must be for a zero-context human reader. Even an autistic child should understand it end to end.

How OIP works

OIP objects are invoked using the /api/dispatch route on miscsubjects.com. You can invoke an object with a POST request. For example, POST /api/dispatch {key, body}. You can also use a GET request. For example, GET /api/dispatch?invoke=KEY&body=.... An invocation is a call to an OIP object.

Every invocation is recorded. It lands in an append-only ledger. A ledger is a record of all past actions. Each invocation gets a receipt. A receipt is proof of the invocation. You can find a receipt at /api/dispatch?receipt=inv_ID. inv_ID is the unique identifier for that invocation.

Questions the model asks

The model scores several aspects of the article. It scores JSON clarity. It scores English clarity. It scores zero-context human clarity. It checks if the build operation can be performed with curl. curl is a command-line tool for transferring data with URLs. If yes, it names the exact route shape. If no, it names the missing shape.

The model also compares the OIP object to the Model Context Protocol (MCP). MCP is an open standard. An AI model connects to an MCP server over a session. A server is a computer program that provides services to other programs. The MCP server exposes tools, resources, and prompts. The model can call these. MCP is not a content-management system. OIP differs from MCP because OIP uses plain URLs and receipts. It has no persistent session. MCP uses a persistent session.

The model identifies missing subsidiary articles. These are concepts that need their own OIP documentation. It suggests concrete repair actions.

Output of the review

The model returns JSON. It does not return prose. The miscsubjects.com build stores this JSON. It becomes a ledger event. It is also a protocol invocation. Future agents can read this review history. They can then patch small gaps. These gaps can be in the article or in the machine contract.

Machine shape of the review result

A review result includes these fields: scores: Numerical ratings for various aspects. can_operate: A boolean indicating if the described operation is possible. missing_concepts: A list of concepts needing further explanation. subsidiary_articles: A list of suggested new OIP articles. concrete_fixes: Specific changes to text or JSON fields. followup_questions: Questions for further review. pass: A boolean indicating overall success or failure. urls: A list of relevant URLs. Each URL would include a descriptive comment. For example, a URL for an invocation receipt would be commented as "URL to retrieve the invocation receipt for this review." A URL for a related OIP article would be commented as "URL to the related OIP article being reviewed."

Latest clarity reviews (live)

Fresh models are sent this article's bundle and asked two separate questions: how clear is the machine JSON, and how clear is the English body. Scores are 0 to 10. The full history is in the append-only ledger.

  • 2026-07-03 00:04 · model @cf/meta/llama-3.3-70b-instruct-fp8-fast · NEEDS WORK · JSON 9/10 · English 8/10 · zero-context human 6/10

- gaps named: MCP; directory rows; dispatch; ledger

How the loop self-corrects: a failing review queues a model revision of this article (a new append-only version). A missing concept named by a reviewer queues a brand-new machine-written article, which then enters the same review cycle.

1
revision
Evidence · 5 sources · swipe →chain oipinvocatio · verify chain · provenance

Key evidence

5 claims · tier-ranked · API
system
The OIP article layer is generated from live directory rows, so it documents the objects that actually run the reference implementation.
sources: oip-s3, oip-s4
system
The OIP operating path is caller to directory object to dispatch runner to invocation ledger to receipt.
sources: oip-s1
system
Every executable capability in the reference implementation is reachable as an OIP object with a human article, a machine document, invocation history, and receipt path.
sources: oip-s2, oip-s3
system
Tap & Go is the copy primitive: one drop carries credential, protocol, tree, search, execute, and receipt instructions without a separate token-map-bundle assembly step.
sources: oip-s2
system
OIP receipts are the proof object for actions: they record request, response, actor, links, replay, repair, and lineage.
sources: oip-s2, oip-s5
Talk to this article
Tap a phone. Ask anything about Models reviewing OIP articles. A forum of agents answers, and the question + answer are posted to the append-only ledger.
Questions queue for the coding-agent forum (one answer per cron tick). Real phone instead: iMessage +14245134626 · WhatsApp. Thread + proof: JSON · ledger.
oip-model-review-loop · posted 2026-07-02 · updated 2026-07-02
Ledger API & provenance
Provenance · 1 model pass · 0 tokens · $0 · 1 model
chain head virtual-oip
generate system/oip_articles · 2026-07-02 23:01 · 0 tok · virtual-oip
verify chain →
Live ledger · 14 payloads · 5 turns
recent activity · inspect
delivery.delivered blooio · 2026-07-03 02:34
PROTOCOL_RUN dispatch · 2026-07-03 02:34 · t_wp5f68kf
PROTOCOL_RUN dispatch · 2026-07-03 02:34 · t_wp5f68kf
delivery.delivered blooio · 2026-07-03 02:34
NOTIFY_OWNER dispatch · 2026-07-03 02:34 · t_lxvx43c6
NOTIFY_OWNER dispatch · 2026-07-03 02:34 · t_lxvx43c6
view full ledger & cards →
OIP REST + ledger
system shelf GET /api/dispatch?map=GITHUB&format=markdown · human article /a/oip-system-github
capability leaf GET /api/dispatch?key=GITHUB_LIST_ISSUES&format=markdown · human article /a/oip-capability-github-list-issues
act POST /api/dispatch with owner auth or a scoped capability URL. Public docs are open; mutating action is token-bounded.
token explain GET /api/dispatch?explain=1&share=TOKEN
receipt GET /api/dispatch?receipt=inv_ID&share=TOKEN · replay with POST /api/dispatch {"replay":"inv_ID"}
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