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FinePrint is a web agent that answers one practical question for hackathon entrants: does this project qualify under the event’s rules? It separates what a language model reads into your description from what a fixed checker decides, and it shows the quoted rule text and facts behind every result. The Sanity Challenge it was built for closed for submissions on October 4, 2026, so this article describes how the tool works and what its author has and has not demonstrated, rather than how to enter that event today.

What FinePrint does with a question

A user types an eligibility or compliance question about a project. According to the project’s author, Himanshu Kumar, FinePrint then works in four moves. It proposes facts drawn from the user’s wording and keeps the quoted sentence that supports each fact. It retrieves the rule records that bear on the question. It evaluates those rule conditions with a typed checker. Finally, it shows the retrieved source passages, the accepted facts, and the specific condition behind the outcome, so a reader can see why a result was reached.

The five result states

Every answer lands in one of five states. The author describes them as follows:

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  • Supported: the accepted facts meet the retrieved conditions.
  • Blocked: the accepted facts violate a retrieved condition, and the saved report keeps the dated quotes that establish the rule.
  • Missing fact: a condition depends on a fact the user has not supplied or that could not be quoted from the wording.
  • Rules unclear: the retrieved sources do not settle the question, or they conflict.
  • Not applicable: the retrieved rule does not govern the situation described.

The practical value of the five states is that they refuse to turn uncertainty into a yes or no. A project that is missing a date is reported as missing that date, not as eligible.

Why the model and the checker are kept apart

The central design choice is that a language model interprets and a deterministic check decides. The model proposes facts and explains source text. Typed conditions then evaluate those facts against structured requirements, and the interface is built to expose any disagreement between the two rather than smoothing it over.

The consequence for a reader is that a wrong answer has an identifiable origin. If the result is surprising, the first thing to inspect is the list of accepted facts and the quote each one came from. If a fact was misread, the checker will evaluate the misreading faithfully, so the quoted evidence is the control point, not the final verdict.

Curated event packs and imported rules pages

Curated packs

FinePrint ships with two curated event packs. The author reports 19 Sanity requirements for the Sanity Challenge and 18 requirements for GIBC V2 Open Invention, both counted as of the 2026 build described in the project submission. Each requirement is stored with its event and a dated source version. The app reads the current curated records through a Sanity Context MCP endpoint backed by a Knowledge Base.

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Imported public rules pages

Users can also import any public rules page. The model proposes requirements from the page, but a requirement is kept only when it quotes the page word for word. Anything that does not map safely onto the fixed fact vocabulary, or that lacks a supportable numeric bound or a timezone-aware date, is labeled “Check yourself” and cannot produce a Supported result. Imported events stay in the user’s browser and are labeled unreviewed, which means the tool has not vetted them against an organizer’s intent.

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How an answer is assembled

For a question, the author describes this sequence:

  1. Obtain the Knowledge Base outline for the relevant event.
  2. Select the paths that look relevant and read them.
  3. Submit the quoted project facts and an independent interpretation to the typed requirement check.
  4. Validate the proposals the model made.
  5. Run the typed conditions.
  6. Write the answer, citing only the retrieved entries.

Two guardrails sit at the end of that chain. Any citation path that was not actually read is removed, and the removal is disclosed. If no valid citations remain, the answer is rejected rather than shown.

The author states that the app is built with Next.js, TypeScript, Zod, Sanity Content Lake, and Context MCP. A server-side Context Viewer token is used so the browser never receives the credential. Personal reviews are kept in the browser, with autosave, export, and a facts-only backup option. These are the author’s descriptions; no independent security review of the deployment has been published.

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How rule changes are handled

Saved reports keep the requirements and sources that were used at the time of the check. When a curated rule pack changes, FinePrint compares added, removed, and changed requirements and follows source references to any findings they could affect. The project watches the curated Sanity records. It does not monitor organizer websites, so a change that an organizer makes on a page the curated pack does not cover will not surface on its own.

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The submission-limit rule in the Sanity Challenge shows the mechanism in action. The author reports the following sequence:

Date (2026) What the sources said What FinePrint returned
September 20 An FAQ said one submission per path, while the contest-rules text reportedly allowed unlimited entries. A two-entry question was marked Rules unclear, and organizer clarification was requested.
September 24 The official contest text stated: “Only one submission per path is allowed. This is to encourage quality over quantity.” Rule pack 2026-09-24.1 was published. The saved two-entry review then showed Blocked, with the dated quotes retained.

The sequence is useful because it shows the tool moving from an honest uncertainty to a firm result only after the source text changed. It is also a reminder that the rule text itself was inconsistent for several days.

What the author tested, and what the tests do not show

The project submission reports several checks. Each should be read with its scope in mind:

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  • 42 authored regression scenarios. The engine matched the scenarios the author wrote. These are not an independent accuracy study.
  • 39 of 42 labels. An earlier model baseline agreed with the author’s labels in 39 of those scenarios. This measures agreement with the author’s labels, not general accuracy or retrieval quality.
  • 345 automated tests. These ran against the September 29, 2026 release, alongside production-build checks.
  • 152 tests. A later snapshot reports this count. It comes from a different point in development than the 345 figure, so the two should not be added together or treated as a single result.
  • Live runs. The author reports several live agent runs with stated response times. These depend on the deployment at the time of the run.

The author states that the tests cover specific boundaries and questions and “do not establish general eligibility accuracy.” No benchmark of FinePrint against arbitrary competitions has been published. The live answer limit reported by the author is five answers per ten minutes. That figure is an implementation detail from 2026 and may change, so check the live app before relying on it.

The Sanity Challenge context

DEV’s Sanity Challenge page describes Path One as “Ship an Agent That Queries Real Content.” It requires an agent pointed at a Sanity Context MCP endpoint backed by a Knowledge Base. The listed judging criteria for Path One are meaningful use of Sanity Context and structured content, technical implementation and code quality, Knowledge Base use, and usability.

The official contest rules set the terms that matter for a reader comparing their own project to this one:

  • The entry period ran from September 18, 2026 at 9:00 AM PDT to October 4, 2026 at 11:59 PM PDT.
  • Each entry required a DEV submission post and a Sanity project ID or public dataset URL.
  • Only one submission per path was allowed.
  • Three Path One winners were listed, each receiving a $500 USD cash prize, DEV++ membership, and an exclusive DEV badge. These are contest terms, not revenue for FinePrint.

The challenge page lists winners to be announced on October 22, 2026. The submission window has closed, so no new entry can be made under these terms.

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Using the approach for your own event

The question readers most often bring is whether a tool like this can answer a personal timeline problem. Two examples from the project illustrate the process. The first is “I started my app in August. I added Sanity this week. Can I enter Path One?” Under the described design, the answer depends on quoted facts about when the build began and when Sanity was added. If those facts are not supplied, the expected result is Missing fact rather than a guess. The second is “I already have an app. Can I extend it for this competition, and which tracks could it qualify for?” Here the checker needs quoted rules for each track and quoted facts about the existing code. Each track is evaluated separately, so a project can be Supported for one path and Blocked or Not applicable for another.

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The useful habit, whether or not you use FinePrint, is to write down the dates, counts, and scope questions that a rule depends on, and to find the sentence in the official text that governs each one. An entry that cannot be tied to a quoted sentence is one a reviewer can challenge.

Checking an eligibility tool before you trust it

Use the following questions to compare any eligibility checker, including this one:

  • Source visibility: can you see the exact rule text and its date or version?
  • Interpretation versus decision: does the tool separate what a model proposed from what a deterministic rule decided?
  • Missing and conflicting facts: does it report uncertainty explicitly, or does it pick an answer?
  • Coverage: are the events curated and reviewed, or are imported pages labeled as unreviewed?
  • Independent validation: has anyone outside the project tested it against labeled cases?

FinePrint answers the first four questions with specifics described by its author. On the fifth, the evidence is limited to the author’s own regression scenarios and label agreement, as set out above.

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Limits to keep in mind

  • The tool checks curated Sanity records and any public page a user imports; it does not watch organizer sites for changes.
  • Imported events are unreviewed, and requirements that cannot be mapped safely are left for the user to check.
  • The project submission is not an audit of the deployed application, its source code, the Sanity dataset, or its security posture.
  • Application availability, rate limits, curated rules, and the behavior of external services can change after this article is published.

FinePrint is most useful as a structured way to see which facts and rule sentences a decision depends on. It should not be treated as an official ruling from an event organizer.

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