Yogesh Shinde // cipheryogi

ServiceNow AI Development — Agentic AI research, solution designs, and production-grade builds on the ServiceNow platform

The source repository is private. Access to specific projects, agents, or integrations can be enabled on request.

AI Agents

AI Agent

Major Incident Evaluation and AutoPromote

AI agent that evaluates incidents against KB-based Major Incident criteria using multi-source reasoning (incident, CMDB CI, related incidents, SLA status), produces confidence-scored verdicts, and can auto-promote high-confidence cases.

AI Agent Studio Major Incident Management CMDB CI Enrichment Confidence Scoring
AI Agent

Duplicate Incident Prevention — AI Governance Agent

Two-layer governance control preventing duplicate incidents: Layer 1 (deterministic Business Rule blocks exact matches) + Layer 2 (AI agent cancels semantic duplicates with 80%+ similarity scoring).

AI Agent Studio Business Rules Semantic Matching Two-Layer Governance
AI Agent

Incident Quality Documentation Improvement

Quality scoring agent evaluating incident documentation across 9 criteria (short description, work notes, close notes, categorization, CI linked, reassignments, reopens) with 0-100 scoring and A-D tier classification.

AI Agent Studio LLM Quality Evaluation PA Dashboards Audit Table
AI Agent

Create Problem — AI Agent

Conversational AI agent enabling Problem Managers to create Problem tickets from incidents, validates patterns using GAF clusters, deduplicates existing problems, and links similar incidents as a batch.

AI Agent Studio GAF Clustering Flow Actions Human-in-the-Loop
AI Agent

Image Processor Agent Using ServiceNow Lens

Agent for screenshot analysis via AI Lens with KB search, report generation, and incident creation. Combines multi-modal image analysis with automated knowledge retrieval.

AI Lens Multi-Modal Analysis AI Search Profiles Script Tools
AI Agent

SAM Use Case — Software Entitlement Validation

Two-layer software entitlement validation: Layer 1 (deterministic BR enriches approval with customer name matching + license availability) + Layer 2 (autonomous AI agent auto-approves/rejects high-confidence software requests).

AI Agent Studio SAM / ALM CMDB Software Models Auto-Decisioning
AI Agent

SPM Risk Articulation

Autonomous AI agent that enhances SPM Risk records by validating and refining Event/Trigger/Consequence articulation, detecting duplicate risks, predicting field values, and posting suggestions for PM approval.

AI Agent Studio Strategic Portfolio Management Semantic Analysis NACM Extension
AI Agent

Email and WhatsApp AI Intake

AI-powered email and WhatsApp intake system that filters noise, validates intent, detects threads/duplicates, and auto-enriches ticket fields with business context (BU, Region, Location, Store Code).

AI Agent Studio Inbound Email Actions WhatsApp Business API RAG / AI Search
AI Agent

HRSD Case Auto-Resolver — Tone-Classification AI Agent

Tone-classifying AI agent for HRSD Ask HR cases: emotional tone (angry, distressed) escalates to human HR with a work note; factual/neutral tone triggers KB search, auto-resolves with article summary, or flags a knowledge gap. Bypasses the OOB sentiment field — tone is classified directly from case description at creation time.

AI Agent Studio HRSD Tone Classification KB Auto-Resolution Human Escalation
AI Agent

CSM Unified Intelligent Agent

Phase A solution design and build runbook for two OOB CSM AI agents: Triage Cases (ReAct planner, event-driven trigger, 6 sub-agents surfaced in the AI Agent Background pane) and Customer 360 Insights (NAP conversational planner, 2 sub-agents). Scoped to Australia Patch 2.

AI Agent Studio CSM ReAct Planner NAP Event-Driven Trigger Customer 360
AI Agent

CSM Auto QA Scoring + High-Emotion Case Flagging

Two-component Phase 1 design and build runbook for CSM quality automation: Component 1 configures native Now Assist for Service Quality to auto-score 100% of closed cases against a configurable rubric (per-parameter scores + justifications + overall feedback); Component 2 deploys a custom AI Agent that classifies customer emotional intensity on closed cases and flags high-emotion cases on the case record — addressing a gap the native Auto QA product does not cover. Instance-verified on a dev instance.

Now Assist for Service Quality AI Agent Studio Auto QA Scoring Emotion Detection CSM
AI Agent

Enterprise Conversational Service & ADO Automation

Two independent workloads unified on the ServiceNow-native stack: Workload A — 90+ catalog items fulfilled via Azure DevOps (async JSON-RPC callback, zero external calls per RITM); Workload B — Now Assist conversational front-end across Employee Center, Microsoft Teams, and standalone URL replacing a proposed Azure Bot, preserving inherited ACLs and eliminating catalog-logic extraction.

Now Assist in VA IntegrationHub Azure DevOps Spoke Microsoft Teams Employee Center
Agentic Workflow

CAB Assessment Agentic Workflow

Conversational Agentic Workflow in AI Agent Studio that gives Change Advisory Board approvers an interactive readiness review. A supervisor planner composes the OOB Change Management AI agents (change quality, conflict and impacted-services, CI suggestion, and change-plan drafting) and adds only a thin custom layer: a configurable readiness checklist authored in the OOB Assessments application plus a CAB Facilitator agent that walks the approver through the questions and writes one consolidated rationale on the change. Reuses the shipped agents rather than re-implementing their logic.

AI Agent Studio Change Management Agentic Workflow Supervisor Planner OOB Agent Composition Assessments
AI Agent

HRSD HR Case QA AI Agent

Custom HRSD AI Agent for a major bank — scoring 100% of resolved AskHR cases against a configurable QA rubric (Pass/Fail + per-parameter justification), routing coaching actions, and raising knowledge-gap KB drafts. OOB Now Assist for Service Quality used as reference blueprint only — it is CSM-scoped and Australia-release, unavailable on the customer's Yokohama P11 instance; custom tables mirror the Auto QA schema for migration-readiness.

AI Agent Studio HRSD QA Scoring Knowledge Gap Routing
AI Agent

AI Response Quality QA AI Agent

Custom AI Agent that scores the quality of AI-generated Now Assist responses in production across AI Search, Virtual Agent, Now Assist Panel, and Now Assist for HRSD skills — 9-parameter rubric (groundedness, retrieval relevance, citation accuracy, correctness) with end-user thumbs-feedback overlay and quality-action routing. Complementary to OOB AutoEval (offline/pre-deploy) and Now Assist Analytics (usage aggregates); reads the live sys_generative_ai_log spine and channel satellites.

AI Agent Studio Now Assist Quality Groundedness Scoring Thumbs Feedback Overlay sys_generative_ai_log
AI Agent

Customer 360 Autonomous NAP Visibility Proof

Proves the Now Assist run-as / NAP-visibility rule — a triggered AI agent surfaces as a chattable conversation in the assignee's Now Assist panel only when run-as resolves to that human. Track A: proven reference on the OOB ITSM incident resolution investigation AI agent (trigger Run as = assigned_to, verified end-to-end). Track B: reproduces on the OOB Customer 360 Insights CSM workflow. Optional contrast flips run-as to a static service account (headless) to isolate run-as as the sole cause.

AI Agent Studio NAP Visibility Run-As Identity CSM ITSM Autonomous Trigger
Multi-Agent Design

Multi-Agent ITSM & SPM Solution Design — Architect Capstone

End-to-end design and build runbook for two AI workloads on a fictional banking scenario, produced as a Certified Technical Architect capstone. Use Case 1: a single multi-functional Incident agent — conversational status and comment updates in Virtual Agent plus autonomous triage of new incidents using Predictive Intelligence Workflow Classification (category, subcategory, and a custom CI-prediction solution) with confidence-based autonomy. Use Case 2: an SPM Portfolio Guardian agent. Includes the OOB capabilities assessment, gap analysis, tool design, and the full as-built debugging story.

AI Agent Studio Virtual Agent Predictive Intelligence Workflow Classification SPM Solution Architecture
AI Agent

Universal Request Automation — Real-Time Triage & Resolution Intelligence

Two deliberately decoupled AI agents automating the IT service request queue for a telecom operator's Employee Center. A Real-Time Processing Agent structures free-text inquiries, validates the requester's category selection against evidence, routes to the correct team, and attempts a knowledge-grounded answer behind a confidence gate. A scheduled Resolution Intelligence Agent clusters resolved requests by topic, scores resolution quality against a rubric, and promotes deduplicated knowledge drafts — turning one-off resolutions into reusable knowledge. Either agent can go live independently; no runtime coupling between them. Since initial rollout, the knowledge-retrieval pipeline behind the confidence gate was hardened for a retrieval-accuracy gap and canary-verified end to end in production.

AI Agent Studio Universal Request Group Action Framework Predictive Intelligence Knowledge Management Employee Center
AI Agent

Multi-Channel Colleague Sentiment Synthesis Agent

Scheduled HRSD AI agent for a major bank that turns colleague feedback scattered across seven listening posts — HR case surveys, self-service portal ratings, virtual and live agent satisfaction, journey surveys, knowledge-article feedback, and search-result votes — into one periodic five-point sentiment digest. Deterministic work (channel normalisation, scale-aware sentiment bucketing, keyword theme tagging, trend maths) happens outside the LLM for population-level accuracy; the LLM only synthesises themes, emerging-issue signals, and a narrative Insight/Evidence/Recommendation brief over bounded, pre-aggregated inputs. Reporting-only by design — high-severity themes are surfaced for manual HR action rather than auto-raised as cases.

AI Agent Studio HRSD Sentiment Analysis Assessment Framework Platform Analytics

Now Assist Custom Skills

Custom Skill

Knowledge Article Enhancer

Batch processing skill that enhances multiple KB articles asynchronously by applying organizational writing standards, enforcing templates, redacting PII, improving accessibility, and creating review-gated enhanced versions.

Now Assist Skill Kit OneExtend Framework Batch Processing Article Lifecycle
Custom Skill

Custom Agentic Evaluation Metrics

Framework for defining and calculating custom evaluation metrics to measure AI agent resolution plan quality across knowledge alignment, actionability, and completeness.

Evaluation Metrics Quality Scoring Resolution Plans

Platform Integrations

Integration

Google A2A Protocol — ServiceNow as A2A Server

End-to-end proof of concept enabling external A2A-compliant clients to discover and invoke ServiceNow AI Agents via Google A2A v2 protocol endpoints using OAuth 2.0 Client Credentials.

A2A Protocol JSON-RPC 2.0 OAuth 2.0 Linux Foundation
Integration

Google A2A Protocol — ServiceNow as A2A Client

Outbound-direction companion PoC: ServiceNow as primary A2A agent discovering and invoking an external Google ADK agent via JSON-RPC message/send — no custom code, OOB AI Agent Fabric. Validated end-to-end on Zurich Patch 7.

AI Agent Fabric A2A Protocol v0.3 Google ADK Agent Card Discovery
Integration

Federated Search in Google Chat

ServiceNow-side configuration enabling Google Gemini Enterprise Search to query ServiceNow Knowledge articles in real-time via Google Cloud ServiceNow Connector.

Federated Search OAuth 2.0 Google Cloud Connector Table API
Integration

Gemini Deep Research Integration via A2A

ServiceNow as A2A client invoking Google's Gemini Deep Research (ADK agent) via A2A message/send for autonomous multi-step web research, citation synthesis, and visual report generation.

AI Agent Fabric A2A Protocol Google ADK Deep Research
Research

Google ADK + ServiceNow — Integration Patterns

Use case exploration documenting three integration patterns between Google Agent Development Kit (ADK) and ServiceNow: ADK consuming ServiceNow via MCP, ADK exposed as an A2A server for ServiceNow to call, and ADK as a multi-system orchestrator with ServiceNow AI Agents as A2A peers. Identifies where ADK adds genuine value — multi-system incident correlation, Gemini multimodal document processing, Google Workspace RAG, and pre-change risk scoring with external signals — and where ServiceNow-native capabilities are sufficient.

Google ADK A2A Protocol MCP Protocol Gemini Multi-System Orchestration
Integration

How to Leverage MCP in ServiceNow — Cross-Instance PoC

Cross-instance AI agentic interoperability using MCP Server Console with OAuth 2.0 Auth Code flow — enables ServiceNow agents to invoke tools hosted on another ServiceNow instance.

MCP Protocol OAuth 2.0 Cross-Instance Tool Invocation
Integration

How to Leverage MCP in ServiceNow — External Client PoC (Postman)

V2 PoC exposing a ServiceNow MCP Server to any external MCP client. Uses Postman as the MCP client over Streamable HTTP (JSON-RPC 2.0, protocol 2025-06-18) with OAuth 2.1 client credentials — validates that the MCP server is reachable and tool-invocable from outside the ServiceNow estate.

MCP Protocol 2025-06-18 Streamable HTTP OAuth 2.1 Postman JSON-RPC 2.0
Integration

Now Assist in Virtual Agent — Microsoft Teams Integration

Australia-release self-configured bot path for surfacing ServiceNow Now Assist in Virtual Agent inside Microsoft Teams. Resolves the “Turn on AI features” error encountered on the Yokohama path by binding the Teams channel via Assistant Designer Display experiences and flipping the Edit configuration Copilot checkbox before manifest upload — no Azure Bot, no OAuth Provider edit, no manifest hand-editing.

Now Assist Microsoft Teams Self-configured Bot Custom Engine Agent Australia Release
Integration

AIOps Alert Investigation Chatbot for Microsoft Teams

ServiceNow-native AIOps alert investigation chatbot delivered through Microsoft Teams: Now Assist for ITOM “Manage alerts autonomously” agent for autonomous triage and root-cause hypothesis, surfaced via sn_va_teams for conversational follow-up in Teams chat. Optional MCP Server Console step prepares Phase 2 readiness for Azure AI Foundry orchestration.

Now Assist for ITOM Manage Alerts Autonomously Microsoft Teams sn_va_teams AIOps

Whitepapers, Guides, and Tooling

Whitepaper

Why Cosine Similarity Powers Semantic Search — Vector Search and Reranking Deep Dive

Why the angle between two embedding vectors tracks meaning: cosine as bounded scale-invariant directional alignment, the contrastive training objective that makes it meaningful, normalization turning cosine into an inner product for ANN/HNSW scale, and bi-encoder retrieval with cross-encoder reranking. Includes an interactive drag-the-vectors figure.

Cosine Similarity Vector Search Embeddings Cross-Encoder Reranking ANN / HNSW
Whitepaper

ServiceNow AI Agent Context Token Management

Deep dive on 128K context token window, ReAct orchestration loop, token accumulation across iterations, STM/long-term memory architecture, and best practices for cost/stability control.

Context Tokens ReAct Pattern Memory Architecture LLM Orchestration
Guide

DocIntel Custom Table Implementation

End-to-end guide for implementing ServiceNow Document Intelligence on custom tables, addressing flow triggering, attachment handling, ML confidence thresholds, and two-flow orchestration pattern.

Document Intelligence ML Processing Custom Tables
Guide

AI Agent Production Deployment Checklist

Comprehensive 10-point production deployment checklist for five AI agents covering platform prerequisites, service accounts/RBAC, custom fields, agent configuration, monitoring, and rollback procedures.

Production Readiness RBAC Audit Logging Safety Guardrails
Tooling

ServiceNow AI Charts

Public web portal (azurecharts.com-style) visualising the ServiceNow AI product landscape — AI products catalogue, table inventory, and relationship graph. Built on Next.js + Tailwind + D3.js with live data from a personal ServiceNow instance via Table API and static docs.servicenow.com data.

Next.js D3.js Tailwind CSS Table API Fuse.js
Tooling

Genius Results in New Tab

JavaScript customization enabling Genius Search results to open in new browser tabs instead of replacing the current window.

Service Portal Genius Search JavaScript
Claude Skills

Claude Code Custom Skills

A growing suite of custom AI skills for ServiceNow delivery and productivity: AI Solution Design Generator (interactive runbook creation with a maker-checker quality pass), Markdown-to-DOCX Converter (branded Word documents with mermaid/Graphviz diagrams), Community Articles Creator (portal-formatted articles), branded PowerPoint generation, AI Agent instruction authoring and review, accomplishment-deck automation, a Chunkwise Markdown Editor (applies many discrete revisions to large design docs and runbooks in small chunks, verifying each by diff and grep so no restated fact drifts out of sync), and a git commit-and-push helper. Each skill is self-contained with its own README and bundled scripts/templates.

Claude Code Skill Authoring Python python-docx / pptx Mermaid / Graphviz
Guide

Deep Dive: Managing and Optimizing Cache for Now Assist Q&A Genius Results

Technical guide covering cache management for Now Assist Q&A Genius Results — identifying stale cache entries, cleanup procedures, performance optimization, and troubleshooting common issues.

Now Assist Genius Results Cache Management Performance
Guide

How to Leverage OOTB 'Define Availability' of the Now Assist Skills

Guide to using the out-of-the-box Define Availability feature in Now Assist Skills to conditionally activate skills based on custom logic with practical examples.

Now Assist Skill Configuration Conditional Activation
Guide

Suggested Steps Generation in Now Assist for CSM

Resolution for the Record Clustering step failure during Now Assist skill activation — requires minimum 500 resolved cases, with workaround and configuration guidance.

Now Assist CSM Skill Activation Record Clustering
Tooling

ServiceNow AI Agent Builder via Claude Desktop MCP

PoC demonstrating Claude Desktop + a Python FastMCP server building fully-configured ServiceNow AI Agents through natural language — bypasses the KB2676985 routing prerequisite that gates the platform’s native MCP Server Console path on many sandboxes and PDIs. Treat as a developer-tooling alternative for AI Agent authoring when native routing isn’t available.

MCP Protocol Claude Desktop Python FastMCP AI Agent Studio Natural-Language Build
Tooling

AI Solution Designer MCP Server

Self-contained Python MCP server packaging the AI Solution Design Generator V2 skill for distribution. Any Claude Code user can install via pip or uvx, configure two environment variables, and access the full V2 design capability — prompts, resources, and tools bundled with no dependency on personal memory paths or private MCP subscriptions.

Python FastMCP MCP Protocol Claude Code PyPI Distribution AI Solution Design
Tooling

ServiceNow Instance MCP Server

Distributable Python FastMCP server exposing a ServiceNow instance’s full AI Agent Studio, agentic workflows, tools, triggers, workers, execution logs, GenAI logs, and general-purpose table CRUD as MCP tools. Supports Basic Auth and OAuth 2.0 Client Credentials — configure two environment variables and get full read/write access from Claude Code without a native MCP subscription.

Python FastMCP MCP Protocol ServiceNow REST APIs OAuth 2.0 AI Agent Studio
Guide

Now Assist Document Intelligence — HRSD Form Field Extraction

NADI implementation for HRSD Workforce Administration: auto-extracts structured field values from uploaded PDF forms (EPF/EPS membership answers) at case creation, writes results to case fields, and alerts the agent when extraction confidence is below threshold — eliminating manual transcription for every new-joiner onboarding case.

Now Assist Document Intelligence HRSD PDF Extraction Flow Designer NADI Use Case
Guide

Now Assist Model Provider Troubleshooting

Root-cause and remediation runbook for the Now Assist Admin “Edit model provider — one or more property values are invalid” error that blocks saving model-provider changes. Traces the failure to GenAI license-metadata records created under the wrong application scope, ships read-only detection scripts to find the mis-scoped records, and walks through moving them back to the correct scope and verifying the fix — restoring the ability to manage AI models.

Now Assist Admin Model Providers Application Scope GenAI Metadata Troubleshooting
Guide

Local LLM Setup Guidebook

Step-by-step runbook for running a local coding LLM on Apple Silicon — Ollama serving Qwen3-Coder, wired into VS Code and Claude Code, with an optional local RAG index for codebase-aware completions. Includes a side-by-side reference comparing the local model against frontier cloud models so you know when a local model is good enough and when to reach for the cloud.

Local LLM Ollama Qwen3-Coder VS Code Claude Code
Guide

Group Action Framework — Activation & Troubleshooting

Practical guide to the Now Platform Group Action Framework (GAF) — the capability that clusters related records (incidents, cases, KB articles) with machine learning and runs LLM-driven actions across the cluster to generate summaries, resolution steps, and pattern-level insights. Covers what GAF is, why cluster-level context beats single-record reasoning for AI agents, and how to verify and troubleshoot GAF activation on an instance.

Group Action Framework Record Clustering Machine Learning Now Assist Pattern Insights
Guide

Agentic AI Security & Governance Checklist Response

A documentation-grounded reference answering the architecture and security questions enterprise governance teams raise about ServiceNow AI Agents: whether a vector database is used, where short-term and long-term agent memory is stored (sn_aia_memory, instance-resident, on MariaDB or RaptorDB), inference data zero-persistence, and the observability stack — Generative AI Controller logs, Now Assist Guardian runtime safety, and AI Control Tower governance and anomaly signals. Every position is cited to published product documentation.

AI Governance Security Review Agent Memory Now Assist Guardian AI Control Tower RaptorDB
Tooling

Deep Research + Solution Design Writer — Multi-Agent MCP System

Two-server multi-agent system built on Python FastMCP: a goal-directed Deep Research agent (ReAct loop over web search, web pages, and video transcripts that reflects on evidence gaps before compiling a research artifact) hands off to a constrained Solution Design Writer running an evaluator-optimizer (maker-checker) loop with deterministic structure checks, producing a ServiceNow AI Solution Design and Build Runbook. Clean separation of research from writing, hard stop conditions on every loop.

Python FastMCP Multi-Agent ReAct Research Loop Evaluator-Optimizer Claude API
Tooling

markitdown MCP — Local Document-to-Markdown

Research and reference on running the markitdown MCP server as a local process to convert PDF, PPTX, DOCX, HTML, and XLSX (from local files or URLs) into clean Markdown before it enters the model context. The conversion happens on-device, so only compact Markdown reaches the API — fewer tokens billed and large, text-heavy documents become readable to the agent.

MCP Protocol markitdown Document Conversion Token Efficiency Local Process
Tooling

Open-Source Coding Agent Setup (OpenCode)

Setup guide for running OpenCode — a fully open-source AI coding agent CLI — as a no-cost backup to keep development moving when a primary assistant hits session token caps. Connects to many LLM providers and free curated coding models, configured on Apple Silicon alongside the existing VS Code toolchain without disturbing it.

OpenCode AI Coding Agent Open Source LLM Gateway Apple Silicon
Guide

Porting Claude Code Skills to the Claude App

Root-cause analysis and porting guide for moving a large Claude Code skill to the hosted Claude app. Maps the platform capability gaps — persistent file system, named MCP servers, cross-session memory files, and local script execution — that change skill behaviour when ported, and gives concrete fixes: trimming oversized skill instructions, replacing memory-dependent phases, and adapting document generation to the hosted code-execution sandbox.

Claude Skills Skill Portability MCP Connectors Platform Gaps
Whitepaper

Claude Code Capabilities Reference

A verified reference of the Claude Code CLI surface — core and deferred tools, subagents, skills, permission modes, configuration and customization, enterprise development strategies, and anti-patterns to avoid. Written as a practitioner's map for getting the most out of an agentic coding environment, with each capability checked against the live runtime rather than documentation alone.

Claude Code Agentic Coding Subagents Skills Developer Reference
Guide

AI Agent Studio — Tool Types Reference

Field reference for the tool types available to ServiceNow AI Agents (Catalog Item, Script, Flow Action, Subflow, Record Operation, and others), the universal constraints that apply across all of them (string-only inputs/outputs, name and description driving orchestrator selection, supervised vs. autonomous execution, output transformation strategies, and assist-consumption rules), and the limitations to design around for each type.

AI Agent Studio Tool Types Orchestration Now Assist

Mainframe Technical Articles

Technical articles written in 2007, covering COBOL, CICS, JCL, REXX, and z/OS utilities.

COBOL Programming
CICS
JCL and z/OS Utilities

Quick Fix for S0C7 Abends

Practical JCL solution using FILEAID to filter records with corrupted packed/numeric data causing S0C7 abends.

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Copying VSAM Dataset into PS Dataset

Alternative method using FILE-AID to copy data from a VSAM indexed file to a flat dataset when IDCAMS REPRO fails.

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How to Define IAM Files

Guide to defining IAM (Indexed Access Method) files, highlighting the key OWNER($IAM) keyword distinction from standard VSAM KSDS.

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IKJEFT01, IKJEFT1A, and IKJEFT1B

Comparison of three TSO/E Terminal Monitor Program variants and how they handle return codes differently.

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INTRDR — Submitting a Job from a Job

How to use the Internal Reader to submit a second job from within an executing job by routing JCL through INTRDR.

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Syncsort — File Split

Using SYNCSORT SKIPREC and STOPAFT parameters to split a master file into multiple output files with selective record copying.

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Compare Load Modules — AMBLIST Utility

Using the z/OS AMBLIST utility to generate reports on load modules, including object module listings and control section maps.

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Compressing Libraries (Prod, QA, Dev)

JCL job example for compressing baseline and production libraries using the IEBCOPY utility program.

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PDS Command — Alter Space Attributes

Using PDS commands to modify space attributes of datasets on mainframe systems.

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ISPF Utilities — Compare and Search

Using ISPF batch utilities ISRSUPC for file comparison (DELTAL) and string search (SRCHCMP) within partitioned datasets.

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TSO Command — Column Deletion

Using the TSO "change all" command to remove data from specific columns, keeping only job names within defined ranges.

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REXX Scripting
Xpediter Debugging
Serena ChangeMan