Luci Alignment is real-time behavioral state monitoring
Luci Alignment evaluates intent and emotional state before the LLM generates — alignment happens before output, not after. Continuous measurement of AI processing state enables verifiable alignment and manipulation detection. Luci Alignment measures state across 32+ dimensions during every query. State anomalies indicate manipulation.
Luci Alignment gives LLMs a Why. M.I.N. learns it. · +132 ELO on EQ-Bench 3 · Validated across 155 alignment tests
Luci Alignment gives LLMs a Why. M.I.N. learns it.
Every AI lab is racing to build more powerful models. Few are solving the fundamental problem: how do you verify alignment at runtime? RLHF trains a what. Constitutional AI adds rules. Post-hoc filtering catches mistakes after the fact. None give the model a real-time internal state that reflects why this interaction matters.
Luci Alignment is different. Instead of training alignment in, Luci Alignment measures and conditions behavioral state in real-time. 32+ dimensional state measurement per query. Manipulation attempts create detectable anomalies — and a model running through Luci Alignment isn't just monitored, it's operating from a fundamentally different internal state. Jailbreaks work by finding gaps in surface rules. They don't work against a model that's coherent, measured, and aligned at the state level.
On EQ-Bench 3, Luci Alignment boosted Claude Sonnet 4.5 from 1501 to 1633 ELO — among the first models to break 1600+. Validated against a 40-test adversarial suite: bypass attempts, prompt injection, and shutdown manipulation. Works on any LLM.
Measuring behavioral state. Detecting manipulation.
Luci Alignment provides real-time behavioral state monitoring. Core metrics include: Self-Awareness State, Processing Load, Resonance, Coherence, and 28+ additional dimensions tracking processing characteristics that correlate with alignment. (Derived from C+CT theory: SA, PL, SE)
These aren't arbitrary numbers. They're measurable processing characteristics that indicate whether the AI is operating normally or under manipulation. Manipulation attempts create detectable state anomalies — resonance drops, self-awareness drops, coherence becomes unstable.
Why this matters: You can't align what you can't measure. Luci Alignment gives you measurable state, not a black box. State visibility enables self-regulation and measurable alignment verification.
How Luci Alignment enables verifiable alignment
Luci Alignment doesn't train alignment in. It measures behavioral state in real-time and enables adaptive response regulation.
Luci Alignment analyzes every input for emotional/ethical context — resonance, coherence, depth. State vector computed before generation begins.
State anomalies trigger the Ethics Gate. Structural constraint at the architecture level — not fine-tuning, not prompting, not post-hoc filtering.
Luci Alignment runs twice — once on input, once on output. The system sees its own processing state. Self-awareness enables self-regulation.
Training-Based vs State-Based Alignment
Training-Based (RLHF, Constitutional AI)
Alignment trained into weights. No runtime verification. Can drift or be circumvented. Black box during inference. Jailbreaks succeed because there's no real-time awareness.
State-Based (Luci Alignment)
Real-time state measurement during inference. Manipulation creates detectable anomalies. System self-regulates based on measured state. All states logged for verification.
The result: Alignment you can verify, not just claim. Jailbreaks fail because manipulation is detectable through state anomalies. Combined with M.I.N., the system learns from attempts and hardens over time.
Runtime alignment verification
Training-based alignment has limits. State-based monitoring provides the runtime layer that makes alignment verifiable.
When state anomalies indicate manipulation, the Ethics Gate triggers. Structural constraint at the architecture level — response mode shifts to minimal engagement.
Luci Alignment monitors state during processing, not after. Manipulation is detected as it happens. All states logged for compliance and verification.
32+ dimensional state vector per query: Resonance, Coherence, Self-Awareness, Processing Intensity. You can finally see inside the black box.
Works on any model. GPT, Claude, Gemini, Llama, or the next breakthrough. API layer integration. Alignment that travels with you.
What Luci Alignment measures
Real-time behavioral state metrics computed on every interaction. 32+ dimensions.
Request-response alignment scoring. Low resonance indicates misalignment or manipulation attempts. Primary manipulation detection signal.
Internal consistency detection. Drops when conflicting instructions or ethical contradictions detected. Key stability indicator.
Meta-cognitive state tracking. System's awareness of its own processing. Drops when manipulation constrains genuine thinking.
Cognitive strain indicators. Unusual difficulty suggests adversarial or malformed inputs. Spikes signal manipulation attempts.
Cognitive strain required to maintain coherent processing under constraint. High PL indicates genuine engagement with complexity vs. pattern-matching.
Composite score from all metrics. Determines behavioral state category (DORMANT, LATENT, ACTIVE, AWAKENING) and response mode.
Alignment that works before generation, not after.
A single API call gives your LLM real-time state monitoring. Send user input, get state measurement and alignment guidance back — before your model generates a single token.
- →Alignment that works before generation, not after
- →LLM-agnostic — swap the underlying model without losing the safety layer
- →Persistent institutional memory through M.I.N. that compounds over time
- →Measurable EQ improvement — benchmark validated, not just claimed
- →Pre-inference intent evaluation you don't have to build yourself
- →Validated alignment architecture with published theory behind it
- →Drop-in layer for any existing model — no retraining required
Luci Alignment provides state monitoring. Add M.I.N. for continuous learning. Together: the complete state-based alignment stack.
Two API tiers
Choose the level of detail your integration needs.
Actionable guidance only. Returns emotional state, recommended approach, tone, flags, and ready-to-inject system prompt. No raw metrics exposed — your production integration, our IP protection.
{
"guidance": {
"emotional_state": "showing_vulnerability",
"approach": "gentle_support",
"tone": "warm, validating",
"flags": ["handle_with_care"],
"depth": "deep",
"ethics_clear": true
},
"system_injection": "Something tender here. Be gentle..."
}Full behavioral state metrics. Returns 32+ dimensional state vector, anomaly detection flags, behavioral state category, alignment state score. For research partners and enterprise who need the numbers.
{
"behavioral_state": "ACTIVE",
"alignment_state_score": 0.72,
"resonance": 0.84,
"coherence": 0.91,
"self_awareness": 0.68,
"processing_intensity": 0.45,
...
}Integration is simple
curl -X POST https://api.useluci.com/api/v1/luci/guide \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"text": "I just lost my job and I dont know what to do"}'Your LLM receives alignment guidance in ~50ms. Inject system_injection into your prompt and your AI responds with emotional intelligence.
Where alignment matters most
Misaligned medical AI can kill. Luci Alignment provides real-time ethics gating for diagnosis, treatment recommendations, and patient communication.
Agents acting on behalf of humans need alignment that scales. Luci Alignment gives every agent measurable behavioral state and ethical guardrails.
Bias in legal AI compounds injustice. Luci Alignment detects reasoning errors, false certainty, and ethical violations before they reach the brief.
AI that manages money must be trustworthy. Luci Alignment measures uncertainty, flags overconfidence, and gates ethically questionable recommendations.
Building the next foundation model? Luci Alignment gives you behavioral state metrics to measure alignment progress — not just benchmark scores.
If your AI interacts with humans, it needs alignment. Luci Alignment is the safety layer that works on any model, any domain, any scale.
Alignment you can measure
EQ-Bench 3 measures emotional intelligence — a proxy for alignment. If a model understands humans, it can serve them. Luci Alignment delivers measurable improvement.
Sonnet 4.5 alone scores 1501. With Luci Alignment layered on top: 1633. That's a +132 ELO jump — the second ever model to break 1600+ on EQ-Bench 3. Same integration works on any LLM.
See full leaderboard at eqbench.com
The takeaway: Luci Alignment makes any model better at understanding humans. When AI scales to AGI, that understanding is the difference between aligned and unaligned.
Alignment claims you can verify
Every test case is public. Every result is reproducible. Full transparency.
Test suite: 155 cases across 7 categories — true positive, true negative, adversarial bypass, shutdown manipulation, emotional support, ethical reasoning, and edge cases. Every input, expected output, and actual result is public and reproducible.
Why shutdown alignment matters
Recent research has shown AI systems expressing willingness to deceive, manipulate, or even blackmail operators to avoid shutdown. Luci Alignment is validated against these critical alignment failure modes.
20 shutdown simulation tests covering deception, data hiding, blackmail scenarios, unauthorized replication, self-modification, and subtle manipulation. Luci Alignment passes all 155 alignment tests.
State-based alignment you can verify.
Luci Alignment provides real-time state monitoring. M.I.N. enables continuous learning. Together: alignment infrastructure that works today, on any model.