Formulate
State the possible conditions, evidence, actions, consequences, and preferences you actually know.
Probability · evidence · decisions
Benjamin Knowledge Models gives your AI a governed mathematical service for probability, evidence, and decisions under uncertainty. It validates typed inputs, refuses missing judgments, and shows the assumptions, warnings, and complete path to every result.
Click to sign in, create a revocable key, and start with a free allowance that resets daily. No payment method required.
QUESTION
Which observation deserves scarce telescope time?
The useful division of labor
An AI client can gather context and assemble a proposal. BKM checks whether that proposal is ready, performs only supported mathematics, and returns a typed result with its working shown.
In our recorded repeated-run comparison, ChatGPT returned divergent answers when given the same BKM-type question and the same input. BKM does not ask you to trust a fresh narrative calculation: the same canonical proposal, capability meaning version, and numerical policy replay to the same result and trace. The comparison concerns ChatGPT without a BKM connection; BKM augments the agent rather than replacing it.
State the possible conditions, evidence, actions, consequences, and preferences you actually know.
BKM identifies missing or inconsistent material and gives the next question to ask. It supplies no unstated number.
Ready analyses run in explicit decimal arithmetic and return structured results, warnings, and a replayable trace.
BKM does not admit evidence, establish that a model fits reality, or authorize an action. Those responsibilities remain visible.
Broad capability, disciplined use
BKM is not a menu of formulas. A connected agent describes the question and the available facts; BKM selects only mathematics covered by its versioned contracts, identifies what is missing, and refuses to manufacture an answer when the formulation is not ready.
Separate observations, assumptions, alternatives, and consequences so the basis of the answer remains visible.
Surface missing values, inconsistent structure, model limitations, and the next fact needed before calculation.
Use typed, versioned contracts and numerical policies instead of improvising arithmetic in a conversation.
Show assumptions, warnings, intermediate values, provenance, and a replayable calculation trace.
The detailed contract is delivered to authenticated agents at the point of use. The open website demonstrates behavior and evidence without publishing an inventory of internal calculation families.
Interactive, bounded, and transparent
Start with the fictional exoplanet case—or choose any reviewed cookbook. Adjust only its synthetic information-acquisition costs, assess readiness, then execute the same typed proposal when the shared playground is operator-enabled.
Preparing the playground…
The playground accepts no uploads or arbitrary requests and stores no proposal or result. Operators can disable execution independently; session, client, concurrency, and global limits protect the shared demonstration when enabled.
Grounded examples
Every case keeps its typed proposal, checked BKM output, independent numerical verification, and provenance boundary together in the repository.
Install where you already work
The public BKM plugin teaches a compatible agent how to use Sidekick and connects it to the governed MCP service. The package contains no credential; invitation, OAuth, entitlement, and quota remain enforced by Sidekick.
Fastest route
Your agent can identify its own supported installation route and stop when a browser login or approval needs you.
Install and verify BKM Sidekick for me from the authoritative public plugin distribution at https://github.com/RoyBBenjamin/bkm-plugin. First identify this exact client, version, operating system, and native plugin or marketplace mechanism. Do not guess commands or inherit a support claim from another client. The plugin contains no credential. Never ask me to paste an API key, password, authorization code, access token, or client secret. Use Sidekick OAuth and pause when I must complete browser login, consent, restart, or workspace approval. After installation, report these separately: plugin installed, Sidekick authenticated, tools discovered, contract read, and calculation verified or not run. Before any quota-bearing assessment or calculation, explain the test and ask once for confirmation. If anything fails, preserve the bounded error and stop rather than retrying in a loop or silently changing configuration.
codex plugin marketplace add RoyBBenjamin/bkm-plugin
codex plugin add bkm@bkm/plugin marketplace add RoyBBenjamin/bkm-plugin
/plugin install bkm@bkmcopilot plugin marketplace add RoyBBenjamin/bkm-plugin
copilot plugin install bkm@bkmInstall BKM Sidekick from the Plugins directory, then complete the Sidekick OAuth sign-in when prompted.
Codex CLI and ChatGPT Work have independently completed the recorded Sidekick authentication and calculation sequence. Installation in another product is reported separately until that exact surface is exercised.
Authority boundary
“A calculation can be exact while its inputs or model remain uncertain.”
Assess structural readiness, calculate supported analyses, and expose every assumption, warning, and mathematical step.
Decide whether evidence is true, establish model adequacy, retain your proposal, or authorize an action.