11 Reports Published

NeuroGen Intelligence Reports

Research-backed AI strategy. Each report validates NeuroGen's production code against published academic and industry research.

NIR-002
Business Agency

The AI Automation Stack

How AI agents replace manual workflows across sales, marketing, and operations. Covers the sequence engine, autoresponder, task scheduler, lead scoring, and social media automations that run without human intervention.

Research basis: McKinsey automation potential analysis, Forrester intelligent automation research, HubSpot workflow benchmarks
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NIR-003
Business Enterprise

Hidden Economics of AI

How model routing and credit systems reduce enterprise AI spend by steering each request to the cheapest model that can handle it. Covers the credit calculator, 60+ models across 7 providers, and transparent per-model pricing.

Research basis: Stanford HAI AI Index cost analysis, a16z enterprise AI spending surveys, OpenAI and Anthropic pricing benchmarks
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NIR-004
Enterprise Agency

Enterprise AI Governance

RBAC, credit delegation, and multi-tenant architecture for organizations running AI at scale. Covers the 12-phase enterprise architecture, 5 organizational roles, 3-layer guardrails, and white-label deployment for agencies managing client accounts.

Research basis: Gartner AI governance framework, NIST AI Risk Management Framework, ISO/IEC 42001 AI management standard
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NIR-005
Agency Business

Omnichannel AI Customer Engagement

How one AI agent serves 15 messaging channels without per-platform rewrites. Covers chat integrations for Telegram, Discord, Slack, and WhatsApp alongside voice agents, Twilio communications, the social media inbox, and text-to-speech.

Research basis: Salesforce State of the Connected Customer, Aberdeen omnichannel retention study, Zendesk CX trends report
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NIR-006
Agency Business

AI Sales Funnels

How autonomous agents build, test, and optimize conversion pipelines. Covers the funnel builder with NeuroGen page generation, A/B testing with statistical significance, one-click upsell via saved payment methods, Stripe Connect payouts, and the course builder with drip-gated content.

Research basis: ClickFunnels conversion benchmarks, Baymard Institute checkout usability research, VWO A/B testing case studies
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NIR-007
Agency Business

Social Media Automation at Scale

How AI agents handle posting, engagement, and lead capture across 8 social platforms. Covers Meta, LinkedIn, Pinterest, YouTube, X/Twitter, TikTok, and Google Business Profile with AI-generated images, video, and captions from a single dashboard.

Research basis: Sprout Social Index, Hootsuite social media trends, Buffer state of social media report, Meta Business Suite analytics
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NIR-012
Strategy NEW

15 Channels, One Inbox

How NeuroGen unifies business communications across 15 chat platforms, voice, SMS, and email with AI-powered responses. From Telegram and Discord to WhatsApp Business and Microsoft Teams — one knowledge base, one conversation context, every channel.

Research basis: Harvard Business Review omnichannel research, Salesforce State of Connected Customer, HubSpot response time studies
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NIR-010
Cost Analysis NEW

Replace Seven Tools With One

The real cost of a fragmented business stack. CRM + funnels + email + SMS + AI agents + social media + support chat = $500-1,500/month in separate tools. NeuroGen Professional replaces all seven for $97/month. Detailed cost comparison with ROI analysis.

Research basis: Productiv SaaS sprawl data, MuleSoft integration costs, UC Irvine context switching research
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NIR-009
Technical NEW

InboxPilot: AI Email Automation That Captures Leads

How an AI agent reads your inbox, captures every sender as a CRM lead, researches their inquiry, drafts personalized replies, and enrolls hot leads into nurture sequences — all autonomously. The end of email as a manual task.

Research basis: McKinsey email productivity research, Harvard Business Review time studies, Superhuman/SaneBox/HubSpot competitive analysis
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NIR-008
Enterprise Business

Beyond Basic RAG

Why the "retrieve top-k chunks and hope for the best" approach is the quiet cause of almost every confident-but-wrong AI answer in production today — and how NeuroGen Cortex replaces it with structural reading, adaptive retrieval, and memory that persists across sessions.

Research basis: Lewis et al. (2020) RAG — Facebook AI; Gao et al. (2024) RAG Survey; Asai et al. (2024) Self-RAG — University of Washington; Liu et al. (2023) "Lost in the Middle" — Stanford
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NIR-013
Technical Agency

From Prompt Optimization to Autonomous Multi-Agent Orchestration

How NeuroGen evolved from a prompt engineering whitepaper to a production autonomous platform. Traces the 7-Core Principles through 300 agent templates, Super Agents for business intelligence and legal discovery, and an 8-stage pipeline where every agent spawn carries structured prompt DNA.

Research basis: Wei et al. (2022) Chain-of-Thought — Google Brain; Brown et al. (2020) GPT-3 — OpenAI; Reynolds & McDonell (2021) Prompt Programming; White et al. (2023) Prompt Patterns; Zhou et al. (2023) APE
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NIR-000
Enterprise Business

Solving Context Rot

The problem no AI vendor wants to talk about. Frontier models silently lose accuracy as documents grow — researchers call it context rot, and it affects every major platform. Find out why "million-token context windows" don't solve it, and how NeuroGen delivers accurate answers across document collections of any size.

Research basis: Liu et al. (2023) "Lost in the Middle" — Stanford; Tsinghua NLP Group (2024) LongBench; Lewis et al. (2020) foundational RAG paper; Press et al. (2022) "Train Short, Test Long"
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