Fix AI Date Hallucination

Why models get dates wrong

A language model has no built-in clock. It has no live internet access by default. When a user asks "what year is it?" the model infers an answer from the patterns in its training data — which stopped accumulating months or years before the conversation.

The result: the model confidently states an incorrect year, announces that software which shipped six months ago "hasn't been released yet," or calculates ages and deadlines from a stale reference point. The error is systematic, not random — every user of that model sees the same drift.

The fix: prepend a time-grounding block

Call /v1/calibrate once at the start of every conversation. It returns calibrateBlock — a short plain-text string with the certified current date and time, anchored to a real-time server clock. Prepend it to your system prompt and the model reasons from the correct date for the entire conversation.

// Call once per conversation, before sending the first message.
// Works with any model: GPT-4o, Claude, Gemini, Llama, Mistral, …

const timezone = Intl.DateTimeFormat().resolvedOptions().timeZone;
const { calibrateBlock } = await fetch(
  "https://api.temporalblock.com/api/v1/calibrate",
  {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "X-API-Key": process.env.TBLK_API_KEY,
    },
    body: JSON.stringify({ timezone }),
  }
).then((r) => r.json());

// calibrateBlock is a plain string — prepend it to your system prompt.
const systemPrompt = calibrateBlock + "\n\n" + yourExistingSystemPrompt;

Model-agnostic. Works with GPT-4o, Claude, Gemini, Llama, Mistral, and any other model that accepts a system prompt. No SDKs or plugins required — just a fetch call.

Also pull in live web context

For topics that evolve after the training boundary — current events, software versions, prices, people — combine calibration with a live web search in one call. /v1/full runs both legs and returns two ready-to-use blocks: calibrateBlock and bridgeBlock. BYO your own search-provider key and the search cost is yours directly.

// /v1/full = calibrate + live web context in one round trip.
// BYO your own Perplexity / Brave / OpenAI key for the search leg.

const result = await fetch("https://api.temporalblock.com/api/v1/full", {
  method: "POST",
  headers: {
    "Content-Type": "application/json",
    "X-API-Key": process.env.TBLK_API_KEY,
  },
  body: JSON.stringify({
    timezone: Intl.DateTimeFormat().resolvedOptions().timeZone,
    syncTier: "snippet",
    syncProvider: "perplexity",
    syncApiKey: process.env.PERPLEXITY_API_KEY,
  }),
}).then((r) => r.json());

// result.calibrateBlock → prepend to system prompt
// result.bridgeBlock    → append or inject as a user turn

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