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One carefully selected English reading pack. Thirty focused minutes. Original sources, practical language and one piece of active output.

Latest reading

16 August 2026

C1SAS × AI-Ready Architecture30 min

How can legacy SAS reporting become AI-ready without a risky rewrite?

Read a 558-component SAS modernization case study, compare its intermediate representation with CDISC ARS, then sketch a low-risk path from validated reporting logic to machine-readable, AI-accessible results.

Start reading PDF Open main source

558SAS reporting components in the case study

373klines of legacy code analyzed

5minutes of spoken output

Designed for consistency

Less noise. Better signals.

Source-aware

Official and primary sources establish facts.

Personalised

Priority goes to AI, clinical research, SAS, CDISC and statistical programming.

Active

Every edition ends with retrieval, retelling or a professional speaking task.

August 2026

16 AugLegacy SAS modernization: metadata, IR and parity validation↗15 AugAI clinical-trial maturity: from retrospective validation to bounded autonomy↗14 AugSynthetic trial data: false positives, uncertainty and inferential validity↗13 AugClinAgent: tools, skills and validation for clinical statistical programming↗12 AugAI-generated TFLs: standards, traceability and reproducible analysis↗11 AugSynthetic clinical-trial test data: metadata, validation and traceability↗10 AugOperational TrialGPT: local deployment, validation and human escalation↗09 AugOffline policy learning for clinical-development decision agents↗08 AugAgentic AI, real-world data and reproducible trial design↗07 AugLLM-assisted semantics and deterministic TFL QC↗06 AugGenerative AI in REDCap: low-risk MVP and local governance↗05 AugICH M11, structured protocols and metadata-driven automation↗04 AugDigital endpoints, sensor data and reproducible derivations↗03 AugReal-time clinical trials and validated data signals↗02 AugAI-enabled clinical-trial knowledge management↗01 AugLLM-in-the-loop clinical workflow design↗