What’s Next for Agorik: A Smarter Backbone, a Self-Healing Brain
Agorik is leveling up. In the coming months we’re rolling out two big upgrades that make every answer crisper, more connected, and more resilient:
Autonomous Vector Ingestion (AVI) — a backend that turns new contributions into an instantly navigable network of ideas.
Reflexive Engine 2.0 — a self-healing loop that converts “we don’t know yet” into “we’re learning now, so next time is better.”
1) Autonomous Vector Ingestion (AVI): A smarter content backbone
What’s new:
Vectorized parsing of contributions. Every new article, playbook, or case note is embedded on arrival—so meaning, intent, and context are captured automatically.
Auto-interconnectivity. We detect related concepts and propose adjacency links (e.g., practices ↔ tools ↔ anti-patterns) to build a dense knowledge mesh—no manual wiki-gardening required.
Better “Related Insight” blocks. Responses can surface nearby insights that add new value (not redundancy), with clear labels and receipts.
Entity & tag harmonization. People, roles, frameworks, principles, and use cases are normalized to governed vocabularies, improving search and retrieval consistency.
What you’ll feel:
Faster discovery, fewer dead ends.
Richer answers that connect the dots across frameworks, tools, and real-world tactics.
Cleaner contributor workflow: you publish; AVI helps stitch it into the network.
2) Reflexive Engine 2.0: From unknowns to learning signals
What’s new:
Transparent “unknowns.” When coverage is thin, Agorik states it plainly (no bluffing) and shows safe stop-gaps.
Automatic stubs. The engine opens learning stubs that capture missing angles, terms, and examples and routes them for enrichment.
Self-healing loops. The system prioritizes those stubs for ingestion, cross-linking, and evaluation—so the next time you ask, the answer is measurably better (with receipts).
Events for freshness. Improvements land in the “What’s New” feed so teams see exactly what changed and why.
What you’ll feel:
Honest answers now; better answers soon.
Traceable improvement—every change ships with provenance and rationale.
Less rework for contributors: the engine tells you what’s missing and where your expertise would help most.
How this differentiates Agorik from a standard LLM
Receipts, not vibes. Every substantive claim can carry sources, contributor credit, and selection rationale.
Role-aware by design. Execs get outcome-first brevity; coaches/engineers can opt into deep dives.
Alternate Views on purpose. When the field disagrees, we show it—side-by-side—so you can choose knowingly.
Event-aware freshness. Ask “What’s new?” to see time-boxed changes to practices, tools, and guidance.
A2I ready. Guidance aligns with Assist → Delegate → Orchestrate stages for safe agent adoption, with policy gates and evaluation status.
What’s shipping first
AVI Phase 1: vector embeddings for new contributions, suggested adjacencies, and upgraded “Related Insight” blocks.
Reflexive 2.0 Phase 1: explicit unknowns, auto-stubs, and evented updates when gaps get filled.
Quality-of-life: improved contributor form (multi-select roles/principles/use-cases), better linting, clearer receipts.
What this means for you
For practitioners: richer, faster answers; clearer options when experts disagree; fresh updates on demand.
For contributors: lower friction to publish, smarter prompts for what to write next, and visible credit when your work closes a gap.
For teams adopting agents: safer pathways from Assist to Delegate to Orchestrate, backed by policy and evaluation.
Try it now (free)
“Tell me what’s new in value delivery since last sprint.”
“Show alternate views on estimation and when to use each.”
“I’m a Product Owner—give me three value slices and an experiment per slice.”
“Design an A2I path for release chores: Assist → Delegate → Orchestrate—with guardrails.”
Call to contribute
Agorik is free to use and free to contribute. The fastest way to make the library better is simple:
Share a playbook, case study, or micro-pattern.
Add receipts and recommended roles/use-cases.
We’ll vectorize it, interconnect it, and credit you—so the community (and our agents) learn from what actually works.
This is Agile that works—now with agents, guardrails, and proof.
Contribute your wisdom. Get credited. Help shape what thousands of practitioners (and agents) learn next.