Engineer-citable reference architectures from iSimplifyMe. Each paper documents a production pattern we deploy for clients — private LLM, AWS Bedrock, regulated-industry posture, and the engineering tradeoffs that shape model selection, isolation, and compliance.
Paper Nº 0118 min read
A five-arm, three-family local benchmark in which every dramatic result was manufactured by a setting: an output cap scored a 122B model at 68% of its capability and inverted the ranking; greedy decoding turned a half-solvable item into a hard 0%; and an infinite reasoning loop proved to be a property of the serving stack, not the weights. The accuracy-versus-budget curve — derived free from recorded token counts and validated to ±2.2 points — plus the triage protocol that caught all three artifacts before publication.
Published 2026-08-11·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 0220 min read
A codebase forked from a sibling carries the parent's identity in layers no review can see — copy is only one of ten surfaces. The residue taxonomy, six design rules for guards that do not depend on anyone remembering, and the fleet-scale enforcement results, with the public check that runs them.
Published 2026-08-05·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 0317 min read
Six companion runs resolve the tension the control-ceiling study disclosed: the long-generation instability was a mixture of three hidden prompt-cache states, each internally byte-deterministic at every sample size measured. Which state serves a call is selected by instance history — a single interposed different-prompt call flipped the output bytes at exactly that call in five of five fresh-instance cycles, under a passing manipulation gate — and the bytes each state produces are additionally scoped to the server session. The result is a state-pinning pattern for byte-reproducible long-form generation, the surface no output validator covers.
Published 2026-07-31·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 0416 min read
A zero-new-calls reanalysis of the reproducibility series: all 33,444 confirmatory outputs from the three studies run through a stated deterministic validator. Parse-and-canonicalize recovers nearly everything on deterministic configurations — every frontier structured-JSON cell closes to exactly 1.0, including a 51-point single-cell recovery — while the residue that survives is semantic and lawful: budget-tier field flips, rare thinking-mode label flips, a 20% object-level disagreement rate under sampling, and one greedy local flip that forks the same ambiguous phrase the same two ways as the budget API model.
Published 2026-07-30·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 0517 min read
The pre-registered baseline under the first two studies — 6,513 calls to open-weight models on owned hardware with every determinism knob pinned. Full control reaches exact byte-reproducibility in 48 of 65 cells, and the exceptions are the finding: the largest model pays an 11-point reasoning-mode cost the smaller models do not, identical weights answer byte-identically across Apple and NVIDIA silicon until generation length breaks the spell, and asking the engine for log-probabilities changes what it generates.
Published 2026-07-30·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 0620 min read
The pre-registered sequel to The Same Request Twice — 13,950 identical requests sending the same Claude models through AWS Bedrock, Claude Platform on AWS, and the first-party Anthropic API simultaneously. The thinking-mode reproducibility cost follows the serving door, not the operator and not (mostly) the model: a null on the first-party API for Opus 5, certified behavioral equivalence between the two AWS-fronted doors, and a forbidden markdown fence whose firing rate moves seventy points with the infrastructure.
Published 2026-07-29·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 0721 min read
A pre-registered measurement of AWS Bedrock inference reproducibility — 13,100 identical requests across three Claude models, two routing scopes, two thinking modes, and three load windows: where byte-level determinism holds perfectly, where it never holds at all, why adaptive thinking turns structured-output serialization into a near-fair coin, and why the budget tier was the only place the answers themselves changed.
Published 2026-07-28·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 0819 min read
A measurement architecture for evaluation panels — why a win rate is uninterpretable without position bias and inter-rater agreement, why balance must be guaranteed by construction rather than left to random assignment, and why a directional verdict needs both a Wilson interval that excludes chance and an exact binomial test that reaches it.
Published 2026-07-26·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 0915 min read
A production account of four AI agents maintaining a live pipeline through a shared message board — and the argument that a multi-agent system should be bounded by its topology rather than its guardrails: only humans originate work, the agent chain terminates at a node that triggers nothing, and the verification step is deterministic code rather than a second model.
Published 2026-07-25·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 1017 min read
A promotion architecture for AI code review — shadow, advisory, soft-gate, hard-gate — where a non-deterministic reviewer earns each rung on measured precision, availability, latency, and false-block rate, with automatic demotion, fails-neutral wiring, and an availability watch that makes silent gate death impossible.
Published 2026-07-23·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 1114 min read
The 100-point, seven-section Answer Engine Optimization rubric — gating rules, atomic answer specifications, and score thresholds — as a print-ready white paper. The living standard stays open at its canonical home in the Lab.
Published 2026-07-10·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 1217 min read
A reference architecture for controlling production AI cost on AWS Bedrock — prompt caching, per-task model routing, cache-aware routing, cheaper defaults, and spend observability: the cost layer that holds spend flat as usage scales across an organization.
Published 2026-06-28·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 1322 min read
A reference architecture for deploying production AI inside HIPAA-regulated workflows, drawn from our work building healthcare AI infrastructure on AWS Bedrock and SageMaker.
Published 2026-05-05·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 1428 min read
A reference architecture for the data and retrieval layer of LLM-native AI systems on AWS Bedrock — pipelines, permissioned retrieval, hybrid search, context engineering, memory, and feedback loops — drawn from iSimplifyMe production deployments in regulated and mid-market work.
Published 2026-05-06·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 1518 min read
A reference architecture for the reliability layer of LLM-native systems on AWS Bedrock — layered guardrails, atomic content integrity, investigate-only audit agents, circuit breakers, retries, and quality gates — the engineering that decides whether a deployed AI system holds up in regulated production or decays into a demo.
Published 2026-06-28·Joseph W. Elstner·Founder & Principal Architect
Paper Nº 1617 min read
A reference architecture for the business-integration layer of an LLM-native platform on AWS — single-table multi-tenancy with isolation by construction, domain-routed tenant resolution, a unified lead pipeline, role-permissioned dashboards, and synchronized billing — the layer that turns AI capability into a product many clients run on one platform.
Published 2026-06-28·Joseph W. Elstner·Founder & Principal Architect
