2026 R&D Journal¶
This section documents Rose's R&D activities for 2026, continuing the work established in 2025.
Continuity From 2025¶
The 2026 R&D projects consolidate the precursor work documented in the 2025 R&D Journal:
- Adaptive Multi-Tenant Conversation Orchestration extends the 2025 intent router, LangGraph execution graph, dialog-state extraction, and action-router experiments.
- Compounding Context Engine for Company, Industry, and Buyer Intelligence extends the 2025 tenant-aware retrieval, MongoDB checkpointing, visitor-profile merge logic, enrichment pipeline, and interest-signal work.
- Closed-Loop Agent Evaluation and Optimization extends the 2025 metrics, regression tests, conversation labeling, and business-impact tracking into explicit evals, observability, experiment marts, and repair workflows.
- Synthesized Knowledge Publishing for Generative-Engine Discoverability crystallizes the 2025 generated-FAQ and content-synthesis experiments into a distinct outbound publishing line, separate from the inbound context the agent consumes.
Knowledge grounding and retrieval are part of Compounding Context Engine for Company, Industry, and Buyer Intelligence, not a standalone project. Generated-knowledge publishing (GEO) is the separate concern — it flows knowledge outward to search and generative engines rather than inward to the agent — and is tracked under Synthesized Knowledge Publishing for Generative-Engine Discoverability.
R&D Projects¶
The 2026 journal uses four R&D projects. Monthly entries should map work back to these projects rather than creating one-off project names for each feature.
Adaptive Multi-Tenant Conversation Orchestration¶
Live selection and execution of skills, tools, models, and deterministic business rules during a website conversation. This includes intent/model routing, skill composition, guardrails, CTA and qualification arbitration, streaming/latency constraints, and the hard execution layer that prevents pure-autonomous-agent failures.
Technical lock: preserve agentic behavior under live B2B traffic while guaranteeing per-tenant business contracts such as qualification gates, content-gating rules, follow-up budgets, and safe handoff behavior.
Compounding Context Engine for Company, Industry, and Buyer Intelligence¶
The shared company, industry, and buyer intelligence substrate — the knowledge and state that flow into the agent at answer time. This includes company-specific positioning and product facts, vertical patterns, visitor/account memory, enrichment, attribution identity, qualification fields, cross-session continuity, context-aware retrieval, website scraping, RAG ingestion, document chunking, lookup tables, the knowledge-versus-publishing boundary on the retrieval side, and query expansion.
Technical lock: maintain a compounding context model across company-specific facts, industry patterns, and buyer-level state while keeping retrieval knowledge fresh, scoped, and auditable.
Closed-Loop Agent Evaluation and Optimization¶
The feedback and measurement system that detects failures, evaluates changes, and supports controlled repair or tuning. This includes eval datasets, LLM-as-judge, support-feedback loops, experiment marts, observability, latency/cost/quality metrics, factory workflows, relay-managed agents, and future autonomous optimization.
Technical lock: transform traces, feedback, and outcome metrics into validated improvements without shipping unsafe prompt/skill changes or relying on anecdotal support feedback.
Synthesized Knowledge Publishing for Generative-Engine Discoverability¶
The system that synthesizes answer-grade knowledge and publishes it so search and generative engines can discover, crawl, and cite it — knowledge flowing outward from the agent to the web. This includes generated FAQ and answer-page synthesis, long-tail question clustering and embedding, canonical-URL and custom-subdomain hosting, sitemap/robots/TLS serving, IndexNow submission, scope-aware and bot-visible rendering, and the schema separation that keeps published content out of chat retrieval.
Technical lock: turn generated knowledge into machine-discoverable published pages whose ranking and citation depend on hosting, canonicalization, and crawlability the generator does not control, while keeping published content strictly separated from chat-retrieval knowledge.
Monthly Entries¶
- January 2026 - Literature Review: Multi-Agent Orchestration Strategies and Project Mapping
- February 2026 - Self-Service Configuration, AI Sections, and First-Response Latency
- March 2026 - Routing Architecture, Widget Boundaries, and Agentic Feedback Loops
- April 2026 - Knowledge Freshness, Post-Conversion Qualification, and CRM Loops
- May 2026 - GEO Publishing, Analytics Architecture, and Factory Orchestration
- June 2026 - Experiment Marts, Productized Scraping, and Relay-Managed Agents