AI Forge Spotlight
Frameworks, whitepapers, blogs, reports and practical guides on building enterprise AI. Each is dated and cited so you can judge how current it is.
Library
Everything AI Forge publishes lives here. Blogs and guides are free to read; whitepapers and reports come with a PDF. Each is dated and cites its sources, so you can see how current it is.
22 results
AI use is broad but shallow. This paper turns adoption and change research into four NKK models: an Adoption Ladder, Four Locks diagnostic, Task Frontier Map and Shadow-to-Sanctioned loop, with metrics.
NKK argues that much of RAG's headroom sits upstream of the model; no public source sizes the share. Four principal NKK models for readiness, pattern choice, trust and failure triage, built on cited evidence.
Debug RAG bottom-up: corpus, candidate recall, rank and cut, context use, answer shape, authorization. A sourced guide to chunking, hybrid search, reranking, evaluation and permissions, with five NKK models.
ISO 42001, NIST, the EU AI Act and MAS agree on the capabilities but not the operating model. NKK's tiering matrix, six pillars and evidence chain turn them into decisions, owners and proof.
The EU lowered the AI-literacy standard on 27 July 2026. Adoption data points to managers, permission and peers as well as courses, so we set out an original champions model, with the evidence for and against it.
Choose an agent framework by failure survival and exit cost, not feature count. A sourced, dated comparison of 2026 options with three NKK models: Durability Ladder, Exit-Cost Map and Selection Flow.
Agents in finance are mostly bounded and human-supervised, adoption figures are not comparable, and supervisors are extending rules rather than replacing them. Evidence, gaps and three NKK models.
Our reading: agents are earning trust where errors are reversible and detectable. Evidence, FDA, EMA and EU rules, risks, and three NKK models for bounded autonomy in plants, planning and GxP.
Dated, source-checked status of AI regulation across the EU, US, UK, India, China and Asia-Pacific as of 13 October 2026, with three NKK models for managing regulatory change.
A durable method for choosing AI models: tiers and roles, task evals, cost and context trade-offs, open versus closed, residency, routing, fine-tuning versus RAG, and deprecation. Four NKK models, no rankings.
A bigger window did not solve the problem. Why context is a budget, what the evidence shows and does not, and NKK's layer stack and triage matrix, with a ledger and scorecard to apply them.
A vendor-neutral reference architecture for enterprise agents: NKK's nine-layer stack, a pattern-selection matrix, a blast-radius gate, and the evidence on reliability, state, control and cost.
A benchmark pass, a judge score and a green dashboard are different instruments with documented gaps. Here is what the evidence shows and a layered NKK model for evaluating agents in production.
MCP and A2A standardise how agents connect, not who may do what. Where the standards and governance stand, what has failed in deployments, and three NKK models for the control plane around them.
Self-reported benefits are common, yet P&L-visible value is a minority. Evidence on what AI delivers, why gains stall, and three NKK models for conversion, baselines and attribution.
Prompt injection remains a residual risk, so agent security is a privilege-and-containment problem. Evidence, controls and three NKK models: a Threat-to-Control Map, Autonomy Tiers and an Agent Identity Stack.
Official statistics, central-bank surveys and consultancy research on AI adoption, agents, spend, value and jobs, reconciled, with three NKK models for reading the numbers.
CoE research points to central platforms and rules with distributed delivery. What the evidence shows, what it does not, and four NKK models for placing each AI pattern.
Pilots are common and scaled agent use is rare. NKK's Oversight Map, Three-Meter Funding Model, Canvas and Maturity Ladder turn the operating-model research into owners, budgets and a scorecard.
The EU delayed its high-risk rules, not the board's duty to show it was watching. What the evidence says, what it does not, and an NKK framework of five lenses and a one-page dashboard.
A voice architecture decides who controls the turn, the truth and the speech. A sourced guide to pipelines, speech-to-speech, telephony, vision input, consent law and evaluation, with NKK models.
The published failure rates for AI and agent projects measure different things. Here is what the evidence supports, why pilots stall, and a six-gate scorecard for deciding what earns production funding.
Video and demos
None are published yet. These are the formats we intend to produce, and the newsletter is where we will announce the first one.
Short talks that step through a reference architecture from a guide, layer by layer.
Screen recordings of a working example from a guide, with the code and configuration shown.
How we test and score an AI system, shown on a worked example with its failure cases.
