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INTERACTION & DATA LAYER
——— AI INTERFACE LAYER
One Interface.
Every Model.
Full Control.
nxtGPT is the governed interaction layer for enterprise AI — a unified interface where every query runs across multiple LLMs simultaneously — Claude, ChatGPT, Gemini, xAI Grok, Mistral, and DeepSeek — every response is evaluated, every model selection is learned, and every interaction is audit-logged with 100% guardrail pass rate.
MODEL PERFORMANCE — LIVE SESSION
Claude
BEST
51% selected
ChatGPT
31% selected
18% selected
Gemini
xAI Grok
Active
Mistral
Active
DeepSeek
Active
6
ACTIVE LLMS
28
QUERIES TODAY
100%
GUARDRAIL PASS
1.4s
AVG LATENCY
WHAT IS NXTGPT ———
The governed AI
interface
for the enterprise.
Most enterprise AI deployments pick one model and build around it — locking teams into a single vendor's performance ceiling, pricing, and risk profile. nxtGPT takes a different approach: run every query across multiple LLMs simultaneously, evaluate responses in real time, let users select the best answer, and let the system learn from every choice.
Every interaction through nxtGPT is identity-attributed via nxtID, semantically analyzed by nxtNLP, guardrail-checked, and written to a tamper-proof audit log — creating a complete, governed record of how your enterprise uses AI.
The result is an AI interface that gets smarter with every session: learned intent signals route technical queries to Claude, summaries to ChatGPT, and balanced comparisons to Gemini — automatically.
⚡
Side-by-Side Model Comparison
Every prompt is sent to all active LLMs simultaneously. Responses appear in parallel — users select the best answer, and preference is recorded for HITL learning.
🧠
Learned Intent Routing (Auto-select)
The system learns from every HITL selection — building a preference profile that routes query types to the models that consistently perform best for them.
🛡️
100% Guardrail Coverage
Every query and response passes through configurable guardrails before delivery. 0 violations in production — with real-time flagging and audit export.
📋
Complete Interaction Audit Log
142 events logged — Chat, Auth, Select, Context, Guardrail, HITL, Warning — with timestamp, model, latency, guardrail status, and full replay capability.
——— CORE CAPABILITIES ———
Built for enterprises that need
accountability before autonomy.
nxtGPT delivers a governed, multi-model AI interface — where every interaction is attributed, evaluated, learned, and logged.
🔀
Multi-Model Orchestration
Simultaneously query Claude, ChatGPT, and Gemini from a single interface. BM25 relevance scoring ranks responses in real time — giving users objective quality signals before they select.
Parallel query dispatch to all active LLMs
BM25 relevance scoring per response
Query activity tracking per model over time
📚
Context Source Management
Ground every query in your enterprise data — web crawls, document collections, knowledge bases. Active context sources are attached per session and tracked in the audit log.
Web crawl and document collection support
Context window monitoring with warnings
Multi-source grounding per session
👤
HITL Signal Learning
Human-in-the-loop selection signals train the system's routing preferences — Claude for Technical/Architecture (51%), ChatGPT for Summaries/Overview (31%), Gemini for Balanced/Comparative (18%).
Per-category model preference profiling
Auto-select mode with learned routing
14 HITL signals logged in current session
🔍
Monitoring & Audit Trail
Every event is logged — Chat, Auth, Select, Context, Guardrail, HITL, Warning — with full timestamp, model attribution, latency measurement, and guardrail outcome.
142 total events, 84 chat events logged
1.4s average latency, 100% guardrail pass
Filterable by event type with export
LIVE PRODUCT ———
The governed AI interface.
Real nxtGPT dashboards.
Three views from the live nxtGPT platform — the command dashboard, side-by-side model comparison in action, and the real-time monitoring audit log.
Command Dashboard
— Live overview: 1 active user, 4 sessions, 6 LLMs (Claude · ChatGPT · Gemini · Grok · Mistral · DeepSeek), 28 queries today, 100% guardrail pass rate. Model performance scores, query activity chart, context sources, recent sessions, and learned intent signals.
ACTIVE LLMS
3
Claude · ChatGPT · Gemini
GUARDRAIL PASS RATE
100%
0 violations in production
AVG LATENCY
1.4s
Down 0.3s vs yesterday
HITL SIGNALS
14
Model selection preferences logged
Side-by-Side Model Comparison
— ChatGPT, Claude (BEST · Selected), and Gemini responding in parallel to the same enterprise identity query. Claude selected for technical/architecture reasoning — preference profile updated.
Real-Time Monitoring & Audit Log
— 142 total events logged: Chat, Select, Context, Auth, HITL, Warn events — each with timestamp, model attribution, latency, guardrail status, and description. Full export and filter capabilities.
LEARNED INTENT ROUTING ———
The right model for
every query type.
nxtGPT learns from every HITL selection — building a preference profile that routes queries to the models that consistently perform best for each category.
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Claude
BEST
0.93
TECHNICAL / ARCHITECTURE
Deep structural analysis, multi-point breakdowns, security and compliance reasoning. Selected 51% of the time — dominant for governance, identity, and architecture queries.
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ChatGPT
0.87
SUMMARIES / OVERVIEW
Concise high-level overviews, feature lists, and executive summaries. Selected 31% of sessions — preferred for breadth and readability in overview contexts.
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Gemini
0.81
BALANCED / COMPARATIVE
Complementary viewpoints, integrations, and tradeoff discussions. Selected 18% of sessions — preferred for balanced analysis and comparative reasoning.
USE CASES ———
Enterprise AI interaction
with accountability built in.
⚖️
Regulated Industry AI Deployment
Deploy multi-model AI in healthcare, finance, and government with 100% guardrail coverage, full audit trails, and identity-attributed interaction logs that satisfy compliance requirements.
🏢
Enterprise Knowledge Management
Ground every AI query in your organization's own data — web crawls of your properties, internal document collections, project scopes — with context window monitoring and warning thresholds.
📊
AI Procurement & Vendor Evaluation
Run parallel model evaluations on your own enterprise queries — building objective, evidence-based preference data for AI vendor selection and contract negotiations.
🔐
Security & Governance Review
Every interaction is logged with full event detail — prompt text, model selected, guardrail outcome, latency, HITL signals — exportable for security review and governance audit.
🤖
Agentic Workflow Integration
nxtGPT sits at the interaction layer of your agentic stack — governed by nxtID identity tokens and enriched by nxtNLP semantic analysis, creating full-stack AI accountability.
📈
AI Performance Optimization
HITL signal learning creates a continuously improving routing engine — automatically directing query types to the models that perform best, reducing latency and improving answer quality over time.
INTEGRATIONS ———
One interface.
Every model. Your data.
🤖
Multi-Model LLM Support
Native integration with Claude, ChatGPT, and Gemini — with architecture designed for additional model addition without interface changes.
🔗
nxtID Identity Attribution
Every nxtGPT interaction is identity-attributed — the human user's HIT is associated with each query, model selection, and guardrail event in the audit log.
🧠
nxtNLP Semantic Layer
All interaction content flows through nxtNLP for real-time intent classification, sentiment analysis, and communication effectiveness scoring.
🌐
Context Source Connectors
Web crawl integration for external properties, document upload for internal collections, and project scope grounding — with context window monitoring and multi-source management.
AI MODELS
IDENTITY & GOVERNANCE
INTELLIGENCE LAYER
nxtGPT is the governed front-end of the full nxtlinq stack — nxtID provides identity attribution below, nxtNLP provides semantic intelligence across, and nxtGPT provides the governed interaction surface above.