A daily reading system for Davin

Learn through English.

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

Latest reading

22 August 2026

C1Agent Skills × CDISC30 min

How much regulatory knowledge should an AI programming agent load at once?

Read a controlled graph-constrained skill-loading study, connect it with current CDISC SDTM agent work and CORE, then design a context-loading policy for one SDTM or ADaM task.

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45workflow nodes across 7 procedural layers

59domain-specific regulatory skill files

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

22 AugContext engineering for CDISC agents: graph-constrained skills and deterministic validation↗21 AugProcess-DAG agents: bounded ADaM generation, validation gates and retries↗19 AugAI-assisted SDTM mapping: code generation, validation and human approval↗18 AugExecutable SAP metadata: Analysis Concepts, ADaM bindings and ARS↗17 AugFaster clinical development: CROs, real-time signals and SP readiness↗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↗