Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
The tenant isolation patterns for multi-tenant SaaS, shared, siloed, and hybrid, their tradeoffs in cost, security, and operations, and how to choose for your product.
How to design AI-powered products that degrade gracefully when the model fails: fallbacks, confidence thresholds, and the controls a resilient product needs.
How to build carbon accounting pipelines for Scope 1, 2, and 3 emissions at scale: data ingestion, methodology, auditability, and the controls reporting needs.
What a DERMS data platform requires to orchestrate distributed energy resources: real-time data, state, and control, with the reliability a production system needs.
How meter-to-cash analytics find revenue leakage in utilities: tracing the process end to end, detecting anomalies, and the controls a production system needs.
How to optimize battery storage dispatch under market and physical constraints: balancing revenue, degradation, and limits, with the controls a production system needs.
How utilities use AI on satellite and LiDAR data for vegetation management: the data pipeline, prioritization, and the controls a production deployment needs.
How to build utility demand forecasting that integrates weather, load, and price signals reliably, with the validation and controls a production forecast needs.
How to bridge SCADA and OT systems to the cloud safely: one-way data flow, segmentation, and the controls that get cloud analytics without exposing operational systems.
Why grid forecasting is moving to the edge, close to the meter, the latency and connectivity drivers, and the controls a production edge-forecasting deployment needs.
The data architecture behind virtual power plants: ingesting and coordinating distributed energy resources in real time, with the controls reliable aggregation needs.
How to automate mortgage underwriting with AI while staying within fair lending limits: explainability, disparate-impact testing, and the controls a compliant model needs.
How to turn commercial building IoT from sensor sprawl into operational insight: data integration, normalization, and the controls a building data platform needs.
How to design rent optimization that improves revenue without regulatory and antitrust risk: independent inputs, transparency, and the controls a defensible system needs.
What computer vision for property inspections can reliably do in production today, what it cannot, and how to deploy it with human oversight where it matters.
How to move real estate portfolio analytics from spreadsheets to a platform: a single source of truth, automated data flow, and the controls portfolio decisions need.
How to build energy benchmarking data pipelines for buildings and ESG reporting: ingesting meter and utility data, normalization, and the controls reporting needs.
How document intelligence handles real estate contracts, leases, and titles reliably: extraction, validation, and the controls a production document workflow needs.
How to tame PropTech data integration across MLS, CRM, and ERP: a canonical model, reconciliation, and the controls a reliable property data platform needs.
How AI lease abstraction turns lease PDFs into structured data reliably: extraction, validation, human review, and the controls a production workflow needs.
Where automated valuation models still fall short in 2026, the data, edge cases, and confidence gaps, and how to deploy AVMs with the guardrails they need.
Guardrail patterns for healthcare chatbots that avoid liability: scope limits, escalation, disclaimers done right, and the controls a safe patient-facing bot needs.
What it takes to ship AI as Software as a Medical Device under FDA oversight: classification, validation, change control, and the controls a regulated AI product needs.
How to architect payer-provider data exchange for the new interoperability rules: APIs, standards, and the controls a compliant, scalable exchange needs.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
