AI Production Failure Reconstructor
by Shivangi Singh
Reconstruct production failures from logs, deploy changes, errors, and timelines to identify what happened, why, and how to reproduce it
AI workflow and skill creator dedicated to designing specialized, production-focused solutions for modern AI users. Her work focuses on practical automation, AI-assisted development, business workflows, and structured agent skills that solve real-world problems.
by Shivangi Singh
Reconstruct production failures from logs, deploy changes, errors, and timelines to identify what happened, why, and how to reproduce it
by Shivangi Singh
Converts clinical transcripts and reports into structured, source-grounded SOAP notes with contradiction flagging.
by Shivangi Singh
Structured legal drafting workflow for advocates to generate fact-grounded notices, pleadings, and agreements.
by Shivangi Singh
CFO-grade financial modeling, ratio analysis, and scenario planning for finance professionals and analysts.
by Shivangi Singh
Diagnose Meta Ads performance drops, identify wasted spend, and generate prioritized 7-day recovery plans.
by Shivangi Singh
Audit landing pages to identify conversion blockers and generate prioritized copy and UX improvements.
by Shivangi Singh
A professional AI engineering toolkit for understanding codebases, debugging failures, analyzing changes, verifying AI-generated code, testing APIs, managing technical debt, and preparing software for production.
by Shivangi Singh
Repurpose long-form content into optimized LinkedIn posts, Twitter threads, and email newsletters.
by Shivangi Singh
Build, debug, test, optimize, secure, and adapt production-ready AI prompts for different models and workflows.
by Shivangi Singh
Plan, generate, edit, and quality-check complete AI animated video productions from idea to final export.
by Shivangi Singh
Organize customer evidence, validate assumptions, and get a launch readiness score before going public.
by Shivangi Singh
Find, quantify, and prioritize hidden revenue leaks across billing, subscriptions, payments, discounts, and usage data.
by Shivangi Singh
Stress-test trading strategies for risk, robustness, failure points, and overfitting before risking capital.
by Shivangi Singh
Turn a stock ticker into evidence-backed financial, earnings, valuation, risk, and thesis research.
by Shivangi Singh
Prioritize overdue invoices, generate follow-ups, and flag collection risks.
by Shivangi Singh
Map every code, API, database, test, and dependency affected by a feature change before implementation.
by Shivangi Singh
Turn raw business data into validated analysis, automated dashboards, insights, and decision-ready reports.
by Shivangi Singh
Verify AI-generated code against task requirements, evidence, tests, and merge-readiness criteria.
by Shivangi Singh
Map how attacks can move through AI agents, tools, data, permissions, and external systems to expose dangerous paths and control points.
by Shivangi Singh
Design and harden AI workflows against failures, duplicate actions, retries, rate limits, tool outages, and unreliable agent behavior.
by Shivangi Singh
Trace bugs from symptoms to evidence-backed root causes, affected code paths, fixes, and regression tests.
by Shivangi Singh
Turn unfamiliar codebases into clear architecture maps, dependency paths, change-impact reports, and developer onboarding briefs.
by Shivangi Singh
Stress-test AI agents for security, reliability, tool abuse, data leakage, failure modes, and production readiness before deployment.
by Shivangi Singh
Transform vague coding requests into production-ready AI coding prompts with context, constraints, architecture, tests, acceptance criteria, and verification gates.