Editorial

A software factory blog with operator-level signal

Posts for founders, product leaders, and engineering teams shipping AI systems, SaaS products, and modern delivery workflows.

63posts6authors4seriesUpdated · Oct 24, 2026

Illustration of documents, images, and structured data passing through a decision core and routing to automation, human review, or a safe fallback.

AI decision architecture

Decisions API: seven gates for production

OpenAI made the Decisions API generally available for turning text, images, and JSON into predicates, choices, or scores. This guide explains where the endpoint fits, how to separate classification from execution, and what evaluation a decision needs before entering a product's critical path.

Decisions APIAI classificationAI evaluationProduct architecture

Oct 24, 20268 min read · AI Systems

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Illustration of several analysis nodes examining different parts of a dataset, gathering evidence in a synthesizer, and handing the result to human review.

Distributed agents: when to parallelize analysis

More agents help only when work can be split without losing evidence. Seven decisions turn parallelism into evaluable coverage.

Distributed agentsMulti-agent systemsAI evaluation

Oct 22, 20267 min read

Illustration of documents with tables and charts moving through parsing, vectors, and reranking before reaching a decision node with provenance.

Multimodal RAG: seven gates for trusting the evidence

Parsing, retrieving, and reranking are different contracts. Seven gates help decide whether a multimodal stack improves evidence without hiding new failure modes.

Multimodal RAGRetrievalAI evaluation

Oct 21, 20267 min read

Illustration of legacy and modern systems connected by a verification chamber that compares outputs and preserves a return path.

AI legacy migration: seven parity gates

A high benchmark score does not authorize a legacy migration. Seven gates turn code translation into evidence of parity and rollback.

Legacy migrationAI engineeringParity testing

Oct 20, 20268 min read

Illustration of source documents moving through an auditable pipeline, becoming multiple writing systems, and retaining provenance traces through human review.

Synthetic multilingual data: six release gates

Translating millions of documents does not create a trusted corpus. Six gates separate generation, acceptance, evaluation, and multilingual release.

Synthetic dataMultilingual AIData quality

Oct 19, 20267 min read

Illustration of an AI agent protected by a continuous circuit of nine checkpoints for tools, release, canary, drift, and feedback.

Continuous agent evaluation: nine release gates

An agent can respond quickly and still be wrong. Nine gates connect offline evaluation, release, production, and verifiable learning.

Agent evaluationQuality regressionLLM as a judge

Oct 18, 20267 min read

Illustration of a mixture-of-experts model passing through evaluation, security, cache, observability, and approval gates before reaching production.

Open-weight models: five gates before self-hosting

Owning the weights is not the same as controlling the system. Five gates to decide whether an open-weight model deserves your infrastructure.

Open-weight modelsAI self-hostingInference

Oct 17, 20267 min read

Illustration of an agent turning a vulnerable path into a patch and routing it through verification gates to human review.

Agentic Autofix: six gates for accepting a security patch

Closing an alert does not prove that a patch is safe. This framework separates detection, remediation, regression, and the merge decision.

Agentic AutofixCodeQLSecurity remediation

Oct 16, 20267 min read

An authority sends a verified policy to an agent: the current path enters the sandbox while a stale copy is blocked.

Fresh agent policies: when to fail closed

A central policy cannot protect a client using a stale copy. Five gates turn freshness, precedence, and version into evidence.

Agent policiesFail closedAI governance

Oct 15, 20267 min read

A telemetry filter lets minimal operational signals reach the observer while blocking sensitive prompts, code, tools, files, and paths.

Agent telemetry: observe without capturing secrets

Attributing activity does not require copying prompts or code. Five decisions make agent telemetry useful, minimal, and auditable.

Agent telemetryOpenTelemetryAI privacy

Oct 14, 20267 min read

Authors

Authors

6

AI systems and operations architecture

Scope, validation, and B2B product strategy

Wasyra Engineering

Modernization, architecture, and reliable delivery

Wasyra Delivery

Nearshore squads and product operations

Wasyra AI Systems

Trust, copilots, and enterprise adoption

Commercial signal and B2B growth

Series

Series

4

AI systems that actually reach production

A series on agents, copilots, and guardrails for bringing AI into real work without breaking trust or operations.

Posts in this series

How to ship B2B with focus

Scope, commercial signal, and product decisions for teams that need to sell before they overbuild.

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Software factory buyer guide

Comparisons, costs, due diligence, and criteria for choosing a software partner without buying only capacity.

Posts in this series

AI product implementation

Roadmaps, agents, MVPs, and technical decisions for turning AI into operable and sellable product.

Posts in this series