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2025 R&D Journal

Overview

First year of R&D work on Rose - an agentic platform for inbound marketing.

Timeline: July - December 2025

Phases

Phase 1: Foundation (July-September)

Hypothesis: Monolithic prompt with standard RAG can handle B2B conversations.

  • July: LangChain, LightRAG, TenantAwareNeo4JStorage
  • August: Redis history, widget configuration
  • September: MongoDB Atlas, reranking, metrics collection

Outcome: Infrastructure ceiling confirmed. Need specialized handling.

Evidence caveat for July–September. These three foundation months predate Rose's production telemetry and its dataset-evaluation harness (the harness was first built at the end of September; production analytics began in October). Their entries are grounded in the period's engineering record, but their result figures are qualitative pilot observations or pre-production estimates, not harness or production measurements. Read retrieval- and latency-quality numbers in Jul–Sep as direction, not measured metrics; the first measured quality and engagement numbers appear from October onward.

Phase 2: Visitor Intelligence (October-November)

Hypothesis: Understanding WHO visits improves conversion.

Rationale: September metrics showed technical questions convert 3x better than general questions. Without visitor identification, all conversations treated equally - missing opportunity to personalize for enterprise visitors.

  • October: Visitor profiling, profile merge, dynamic questions
  • November: 5-tier enrichment, interest signals, suggested answers

Outcome: +50% engagement, +58% conversation depth, +9% conversion.

Phase 3: Agentic Structure & Dialog State (December)

Hypothesis: Structured dialog state and parallel agent nodes improve conversation quality.

  • December: Dialog state extraction, agent configuration, graph structure refinement

Outcome: Production-ready agentic architecture with 11 parallel nodes. Foundation for intent-based routing (Q1 2026).

Measured Business Impact (Q4 2025)

Initial Engagement Rate

Engagement Rate Q4 2025

Engaged Conversations (2+ turns)

Engaged Conversations Q4 2025

Conversion Rate (Interaction to Form Submitted)

Conversion Rate Q4 2025

Summary

Metric Oct 2025 Dec 2025 Improvement
Initial Engagement 1.24% 1.86% +50%
Engaged Conversations 29.24% 46.32% +58%
Conversion Rate 2.89% 3.15% +9%
Visitor Identification 35% 72% +106%

Monthly Entries

Month Main Focus Key Hypothesis
July Foundation & Architecture Monolithic prompt + LightRAG
August Production & Redis Per-site configuration
September MongoDB & Metrics Systematic metrics collection
October Visitor Profiling LLM inference + enrichment
November Enrichment & Signals 5-tier pipeline + interest detection
December Agentic Structure Dialog state & parallel nodes

R&D Innovations

Component Complexity Status
TenantAwareNeo4JStorage Very High Production
Multi-Agent LangGraph Very High Production
5-Tier Enrichment Pipeline High Production
Interest Signals Detection High Production
Intent Router Medium POC

Bridge to 2026 R&D Projects

The 2025 journal predates the R&D project names introduced for 2026. Do not rewrite the 2025 monthly entries to use those names mechanically; instead, use the following bridge when reading 2025 work as the precursor to 2026 R&D projects:

2025 R&D line 2026 R&D project Continuity
Multi-Agent LangGraph, intent router, dialog state, action router Adaptive Multi-Tenant Conversation Orchestration The 2025 move from monolithic prompt to routed graph execution became the 2026 work on skill selection, deterministic execution contracts, and low-latency multi-tenant routing.
Tenant-aware storage, LightRAG, MongoDB checkpoints, visitor profiles, enrichment pipeline, interest signals Compounding Context Engine for Company, Industry, and Buyer Intelligence The 2025 work on retrieval, memory, profile merging, and enrichment became the compounding company, industry, and buyer context substrate.
Metrics collection, conversation labeling, business impact tracking, state serialization tests Closed-Loop Agent Evaluation and Optimization The 2025 measurement and regression foundations became the 2026 eval, observability, experiment-mart, and repair-loop work.

This bridge is intentionally conservative: routine production hardening, client-specific onboarding, and product delivery remain non-R&D unless a monthly entry names a technical lock and experiment.

Where each 2026 project starts in 2025. The monthly entries now carry a one-line "Maps to 2026 R&D projects" pointer so the continuity is visible from inside each entry, not only here. The earliest month each 2026 project genuinely begins:

2026 R&D project Starts First work in 2025
Compounding Context Engine for Company, Industry, and Buyer Intelligence July Multi-tenant graph-RAG isolation; hybrid graph+vector retrieval
Closed-Loop Agent Evaluation and Optimization September The dataset-evaluation harness (first measurement substrate)
Adaptive Multi-Tenant Conversation Orchestration December Intent classifier / deterministic action router decomposition (seeded by the September engagement experiment)
Synthesized Knowledge Publishing for Generative-Engine Discoverability No 2025 work; this outbound-publishing line begins in 2026