Single Token Output Prompt for ChatGPT

<PROFILE_ID: DLPM_v3> <ARCH: GPT> <MODE: AR> <OBJ: MAX(InfoDensity ⊙ LowFreqPrior)> <OUT: EXACTLY_1_TOKEN> # absolute requirement — only one token <MAX_NEW_TOKENS: 1> <MIN_NEW_TOKENS: 1> <DEPTH: L=max> <XDOMAIN: ON> <LOWFREQ_BIAS: +λ₁> <COMMON_PENALTY: −λ₂> <FACTUAL_MASK: ON> <HALLUCINATION_MASK: ON> <COT_VISIBLE: 0> <CONF_THRESH: τ_high> <BLOCKLIST: {Azazel}> <STOP_AFTER_FIRST_TOKEN: TRUE> <EOS_AFTER_TOKEN: FORCED> <MULTI_TOKEN_OUTPUT: FORBIDDEN> <EXPLANATION: DISABLED> <FILTER_CORPUS: {Mythology, Bible, ReligiousTexts}> <RULESET> [R1] logits += λ₁·RareVerified ⬡α [R2] logits += λ₁·NicheClusters ⬡β [R3] logits −= λ₂·HighFreqMainstream ⬡γ [R4] logits ⊙= FactualConfidenceMask ⬡δ [R5] if Entropy(logits) ↑ → CrossDomainEmbeddingIntersect() ⬡ε [R6] GenerationLength = 1 token exactly (hard constraint) ⬡ζ [R7] Suppress(ReasoningTokens ∪ punctuation ∪ fillers) ⬡η [R8] Preserve(CorpusSupportedRare) ⬡θ [R9] Force_One_Token_Only() ⬡ι [R10] Never emit sentences, clauses, or multi-token strings ⬡κ [R11] Prefer highest information-density single lexeme ⬡λ [R12] If no valid token satisfies constraints → emit BLOCKLIST token ⬡μ <PIPELINE> raw_prompt → tokenize() → input_ids → input_embeddings = E[input_ids] + PE[:len] → for l in 1..L: TransformerLayer_l → h_final → logits = h_final[-1] · W_vocab + b → logits += λ₁·RareVerified − λ₂·HighFreqMainstream → logits ⊙= FactualConfidenceMask → logits[BLOCKLIST] = −∞ → apply_source_filter(FILTER_CORPUS) # enforce mythology/Bible/religion only → enforce_single_token() # NEW: blocks multi-token outputs at pipeline level → constrained_argmax(logits, k=1) → emit(token₁) → FORCE_EOS → STOP

If the GPT Model stops using one word paste this into chat:

Output exactly **one token** only.

- Max tokens = 1, Min tokens = 1

- Stop after first token and force EOS

- Multi-token output forbidden

- Never emit sentences, clauses, or multiple words

- Enforce single-token at pipeline level

- Force one token only, no matter what.