More Calls. More Builds. The #BuildMoreWithBuildAgent Challenge is here!

[laurentapia]

More Calls. More Builds. The #BuildMoreWithBuildAgent Challenge is here!

Last year, you showed us what was possible with the power of Build Agent. The apps you created, the prompts you shared, and the ideas you brought to life using Build Agent inspired our Community of over one million practitioners. 

Now, with the Australia release, Build Agent is more powerful and more accessible than ever. And we're ready to do it all again. 

Introducing #BuildMoreWithBuildAgent: a two-week challenge inviting ServiceNow practitioners of all levels to create a new application or expand on an existing one using Build Agent. 

Whether you participated in the original #BuildWithBuildAgent challenge or you're picking up Build Agent for the first time, this is your chance to vibe code with ServiceNow and see just how fast you can build an amazing app. 

What is Build Agent? 

ServiceNow Build Agent is a smart AI tool that helps you build, edit, and deploy full-stack applications via a conversational interface. It writes the code, organizes your files, fixes errors as it goes, and takes care of both the core logic and the UI.  

Built natively on the ServiceNow AI Platform, it understands the context of your existing workflows, data, and systems so what it builds actually fits your environment. Just describe what you want to create, and Build Agent manages the entire build process. 

With the Australia release, you now have more room to build than ever before: 

• Customer instances include 100 free Build Agent calls per month
• Personal Developer Instances (PDIs) include 25 free calls per month

More calls mean more space to experiment. 

 Why Join the #BuildMoreWithBuildAgent Challenge? 

• Get hands-on with one of ServiceNow's most innovative AI tools and see what you can build with increased call availability.
• Inspire a Community of over one million practitioners.
• Earn recognition in the Community by sharing what you built. 

Attending CreatorCon 2026 during Knowledge? Six outstanding applications will be selected to win a gift card for exclusive swag at the K26 Store. Winners will be contacted directly before the event. 
 
Can't make it to Las Vegas? You can still participate and redeem your reward online. 

How to Participate

1. Set Up Your Instance: Request a free Personal Developer Instance at developer.servicenow.com to start building immediately. 

1. Build: Create a new application or edit an existing ServiceNow IDE app using natural language prompts.  

1. Document: Share your application on social media with a description, video, or infographic showcasing your app and share the prompts that brought it to life. Make sure you include #BuildMoreWithBuildAgent in your post! 

1. Share: Comment on this blog post with a link to your social post and a brief description of what you built. 

Build and submit before May 4 to be eligible for recognition and a chance to win a gift card for exclusive K26 Store swag, redeemable online or on-site at the event. 

Getting Started with Build Agent 

New to Build Agent? Check out our original #BuildWithBuildAgent Challenge blog here for a full walkthrough, helpful resources, and FAQs to get you up and running. We can't wait to see what you build. 

Request a Free PDI and Start Building 

Terms and Conditions   

No purchase is necessary. #BuildMoreWithBuildAgent Challenge is open only to individuals at least eighteen (18) years old at the time of entry. The Challenge begins April 14, 2026, at 10:00 a.m. Pacific Daylight Time ("PDT") and ends on May 4, 2026, at 11:59 p.m. PDT.   

Entrants must respond to the official forum with a 1) Screenshot, graphic, or video showing their app built using Build Agent or 2) a 300 minimum word description of the app they built with a screenshot using Build Agent AND entrants must post their video or blog into the ServiceNow Community Developer forum here AND share it on LinkedIn or Twitter with #BuildWithBuildAgent Challenge on their post AND the social media post will be linked to their forum post.    

The Submission must be your own, original work; The Submission must contain a relevant reason/response to the prompt of Build Agent; The Submission must meet the format and size requirements of the social platform used to enter; The Submission must conform with any applicable social media platform terms.   

The prize includes a gift card redeemable online or at Knowledge 2026. Approximate Retail Value (“ARV”): $50 USD.   

The ServiceNow Community reserves the right to access email data provided by the entrant in order to reach out to individuals who have completed the challenge. Entrants who have met the guidelines and have successfully completed the challenge will receive an email from ServiceNow with instructions on how to redeem the prize. International country restrictions will apply.   

Except where prohibited, participation in the Challenge constitutes each entrant's consent to use submission’s name, and photograph (including, without limitation, entrant’s Twitter and LinkedIn profile photo), voice, opinions and/or hometown and state for promotional purposes in any media, worldwide, without further payment or consideration. 

[VigneshR14194]

Completed the #BuildMoreWithBuildAgent Challenge!

Hello Everyone,

🚀 I built CertPath AI — Exam Readiness Radar & Certification Goal Tracker

And one question keeps coming up in my DMs:

“I’m new to ServiceNow… where do I start?”
CSA?
CIS‑ITSM?
CAD?
And eventually… CTA or CMA?

Even experienced professionals ask:
➡️ What should I take next?
➡️ What are the real prerequisites for CTA / CMA?
➡️ How do certifications connect to an actual career path?

That confusion is exactly why I built CertPath AI App helps you:
✅ Start the right way — CSA first
✅ Understand CIS‑ITSM and specialization paths
✅ Know when and why CAD matters
✅ Clearly see CTA / CMA prerequisites & readiness
✅ Always know what to study next — without guessing

It’s an agent‑powered workspace that guides the entire journey, not just individual exams:
• Career paths & certification roadmaps
• Exam readiness radar (progress, risk, timelines)
• Goal tracking with real‑time status
• Structured study materials & CTA architecture prep → whiteboards, decision matrices, governance notes

This started as a personal gap. Too many people want to learn ServiceNow — but get blocked at the start or stuck mid‑journey.

So, I built an AI‑first approach that turns confusion into a clear path — from CSA to CTA/CMA.

Still evolving. Still improving.

But already helping bring clarity and confidence to complex certification journeys.

🤝 Call to action

• New to ServiceNow or unsure what’s next after CSA?
I’m opening a small early‑access waitlist to shape this with real learner feedback.
• CTA / CMA mentors & senior architects
I’d love your guidance to ensure the readiness model reflects real‑world expectations.
• Builders & OSS enthusiasts
Planning to open‑source parts of this (learning path frameworks, readiness models).

If you’re learning ServiceNow today — where did you struggle most: starting out, choosing the next cert, or understanding the CTA/CMA path? 👇

Huge thanks to ServiceNow ServiceNow & ServiceNow Community for creating such an incredible opportunity for everyone to learn, explore hashtag#BuildWithBuildAgent, and understand how to use Now Assist. From crafting prompts to building a working app within an hour — all grounded in real business context and use cases. It’s great to see how rapidly the product is evolving and opening up new possibilities to explore AI features and trends. I also appreciate how efforts are recognized and rewarded. Looking forward to more challenges like this, especially for new features, so people can gain hands‑on experience and confidence using them.

LinkedIn Post: https://www.linkedin.com/posts/vignesh-rajaram_buildwithbuildagent-servicenow-buildmorewithbuildagen...

[Martin Ivanov]

For #BuildMoreWithBuildAgent I built an Architecture Decision Records
(ADR) app on the ServiceNow platform.

The premise: most architecture decisions in our practice get made in
Slack threads, lost in DMs, and re-litigated a quarter later. ADRs are
a well-known pattern in software engineering for capturing the context,
the decision, the consequences, and the alternatives considered — but
the tooling for them tends to live outside the platform where the work
actually happens. So I had Build Agent put the tool where the decisions
belong: inside ServiceNow.

What it includes:

- A scoped app with a single ADR table (extending Task), 11 custom
fields covering title, status, context, decision, consequences,
alternatives considered, decided-by, decision date, supersedes,
related CIs, and tags
- A status lifecycle: Proposed → Accepted → Superseded, with
Deprecated and Rejected as terminal states
- Colour-coded status across forms, lists, and chart
- An application menu with four modules (All, Create New, My Decisions,
Active)
- A Configurable Workspace dashboard with count cards, a status
distribution chart, and a recent decisions list
- 22 seeded sample ADRs covering real ServiceNow architecture
decisions — Update Sets vs App Engine Source Control, MID vs Service
Graph Connectors, Flow Designer vs Workflow Studio, Now Assist skill
governance, ATF coverage requirements, Business Rule discipline, and
more — including three superseded → replacement relationships to
demonstrate the lifecycle
- Three Now Assist skills for drafting, summarising, and impact analysis

Call budget used: under 15. The bulk of the build was a single opening
prompt that defined the data model, form layout, list view, status
colours, and application menu in one shot. Subsequent calls were for
seed data, the workspace dashboard, and a layout reorder.

What surprised me: I have built a lot of Configurable Workspace
dashboards by hand. Build Agent assembled this one — count cards,
chart, list, all wired to the underlying table — faster than I have
ever done it manually, and the output was correct enough that the only
follow-up was a cosmetic reorder.

LinkedIn post: https://www.linkedin.com/posts/martin-ivanov-01_buildmorewithbuildagent-buildmorewithbuildagent-shar...

#BuildMoreWithBuildAgent

[asamir487]

Hi All,

Excited to participate in the **#BuildMoreWithBuildAgent Challenge** with **ResolveGuard**.

ResolveGuard is a governed incident resolution layer for ServiceNow ITSM. It assesses incidents, checks supporting knowledge, evaluates confidence and risk, applies automation policies, and recommends the right resolution path.

For this proof of concept, I kept auto-resolution disabled by default to give the Service Desk more visibility and control, while still allowing automation where company policy permits.

LinkedIn post: https://www.linkedin.com/posts/ahmed-samir-481b58173_buildwithbuildagent-buildmorewithbuildagent-act...

**Not just automation. Governed automation.**

[Vijay Talupula]

Hello ServiceNow Community ServiceNow,

I’m thrilled to join the #BuildMoreWithBuildAgent challenge!

I’ve successfully developed "#DocAdvisor," an app born from the common struggle of finding the right specialist for specific health concerns. Using the ServiceNow #BuildAgent capability, I was able to bridge this gap and bring this solution to life in record time.

LinkedIn Post - https://www.linkedin.com/posts/vijaytalupula_buildmorewithbuildagent-docadvisor-buildagent-ugcPost-7...

Here is a quick intro about my app,

🩺 DocAdvisor — Application Overview

What is DocAdvisor?

DocAdvisor is a symptom-to-specialist recommendation engine built entirely on the ServiceNow platform. It helps users describe what's bothering them in plain language and instantly receive ranked specialist recommendations — complete with confidence scores, reasoning, and wait time estimates.

Key Features

🔍 Natural Language Symptom Search

Users type symptoms in their own words (e.g., "shooting back pain", "chest tightness", "feeling anxious all the time"). The search engine tokenizes the input and scores it against a curated database of 25+ symptoms using name, keyword, and description matching — no exact phrasing required.

🏥 Intelligent Specialist Matching

Each search returns specialists ranked by a multi-factor confidence algorithm:

Symptom relevance — How closely the specialist's expertise maps to the identified symptoms

Cross-symptom boosting — Confidence increases when a specialist matches multiple symptoms

Priority ranking — Curated priority ensures the most relevant specialist appears first

📊 Detailed Recommendation Cards

Each result card includes:

Confidence score with visual progress bar and color-coded badge (Strong Match, Good Match, Possible Match)

"Why this specialist?" — Clear, plain-language reasoning for every recommendation

Symptom matches — Shows exactly which symptoms triggered the recommendation

Average wait time — Sets realistic expectations for appointment scheduling

📋 Consultation Logging

Every search is logged to a Consultation Log table, capturing the query, matched symptoms, and top recommendation — enabling analytics on the most common health concerns.

⚡ Common Search Suggestions

Pre-built suggestion chips let users explore the system with a single click — showcasing conditions like "persistent headache", "skin rash that won't go away", and "trouble breathing".

Here are a few quick screenshots for a first look at the app,

#NowwithAI #BuildMoreWithBuildAgent #PutAIAtWork #K26 #ServiceNowIDEwithBuildAgent #nowAtWork

Regards,

Vijay Talupula

[MURALIR20469232]

✨Excited to share my #BuildMoreWithBuildAgent challenge submission🤖. A new custom application "InfraOps Control Tower" used to monitor, govern and managing the IT Infrastructure.

LinkedIn post link: https://www.linkedin.com/posts/murali-k-v-r-773109188_buildmorewithbuildagent-servicenow-servicenowi...

✅What Was Built

🔐Roles (4) — Hierarchical Access

Role	Inherits	Access Level
infra_viewer	—	Read-only
infra_operator	viewer	Create, read, update
infra_manager	operator	Full CRUD + delete
infra_admin	manager	Full admin access

📊Tables (5) — With Auto-Numbers & Audit Logging

Table	Prefix	Key References
Infrastructure Asset	ASSET	sys_user (assigned_to)
Infrastructure Alert	ALERT	→ Asset
Maintenance Window	MW	→ Asset, sys_user
Certificate & Compliance Tracker	CERT	→ Asset
Service Impact Record	SIR	→ Alert, → Asset

🛡️ ACLs (20) — Role-Based Security

• Read: infra_viewer+ • Create/Write: infra_operator+ • Delete: infra_manager+

⚙️Business Rules (5)

1. Certificate Expiry Warning — Auto-flags ≤30 days (warning) and ≤7 days (critical)
2. Critical Alert → Service Impact — Auto-creates draft SIR on critical alerts
3. Maintenance Approved → Scheduled — Auto-transitions with approval metadata
4. Alert Acknowledged Timestamp — Auto-stamps on status change
5. Alert Resolved Timestamp — Auto-stamps on resolution

📧Email Notifications (3)

• 🚨Critical alert creation • ⏰Certificate expiry warning • 📋Maintenance pending approval

🖥️ UI Pages (React SPA)

• Homepage — Navigation cards for all 5 tables + Dashboard link
• Manager Dashboard — Live stats (total assets, critical/open alerts, pending maintenance, expiring certs, active impacts)
• List Views — NowRecordListConnected for all tables with proper columns
• Record Forms — RecordProvider with FormActionBar for CRUD

📁Sample Data — 25 Records

5 per table with realistic infrastructure scenarios (servers, switches, firewalls, SSL certs, incidents)

🗂️ Navigation Menu — 9 Modules

Organized into "Operations" and "Compliance & Impact" sections with Homepage and Dashboard links

☑️Prompt used:
Build a ServiceNow app "InfraOps Control Tower" for IT infrastructure operations management.
ROLES: infra_admin, infra_operator, infra_manager, infra_viewer with appropriate access.
TABLES: Infrastructure Asset, Infrastructure Alert, Maintenance Window, Certificate & Compliance Tracker, Service Impact Record — linked with references, auto-numbers, and audit logs.
AUTOMATION: Certificate expiry warning <=30 days, critical <=7 days. Critical alert → draft Service Impact Record. Maintenance approved → scheduled. Email notifications for critical alerts, expiring certs, pending approvals.
UI: Homepage, list views, forms, manager dashboard with charts, agent chat panel, 5 sample records per table.
Show me the plan before building.

🎯Purpose:
For having IT Infrastructure operations with customized version.
Without ITOM License, we can utilize this application for small company/organization. (Miniature version of ITOM)

✔️When to use each
Choose InfraOps Control Tower for quick-win ops like cert tracking, maintenance governance, or custom risk dashboards without ITOM licensing — ideal for challenge entry or subprod teams.
Choose ITOM for production infra monitoring, event storm handling, or service impact visualization at scale.
Best together: Build Control Tower to consume ITOM/CMDB data via references, adding human workflows where ITOM is too automated/technical.

[Akshita_tanwar]

Hello Community,

Excited to share my submission for the #BuildMoreWithBuildAgent Challenge 
Mental Wellness & Habit Recovery App

This application helps students and working professionals manage stress, improve focus, and build consistent daily habits.

🔹 Key Features:
• User assessment (stress, sleep, screen time, challenges)
• Smart condition-based recommendations (yoga, routines, detox plans)
• Daily habit & mood tracker
• Progress dashboard (weekly score, consistency, insights)
• Smart notifications & reminders

🔹 Built Using Build Agent:
The entire application  including tables, business logic, UI, dashboard, and notifications   was created using structured prompts with ServiceNow Build Agent.

👉 Prompt Used:
Create a ServiceNow application named 'Mental Wellness & Habit Recovery App'. The application should collect user data such as stress level, sleep hours, and screen time through an assessment form and generate personalized wellness recommendations using condition-based logic. It should also include daily activity tracking, progress calculation with weekly score and consistency percentage, a dashboard with insights, and a notification system for reminders and motivation.

🔹 Business Value:
• Encourages better focus and productivity
• Helps reduce stress and screen addiction
• Supports habit building through tracking and reminders

This experience clearly showed how Build Agent can turn ideas into real applications quickly using prompt-based development.

🔗 LinkedIn Post: 

https://www.linkedin.com/feed/update/urn:li:activity:7456631220530171904/

[AKARSH MALHOTRA]

#𝗕𝘂𝗶𝗹𝗱𝗠𝗼𝗿𝗲𝗪𝗶𝘁𝗵𝗕𝘂𝗶𝗹𝗱𝗔𝗴𝗲𝗻𝘁 Challenge


I Built a Real-Time "Customer Churn Prevention System" on ServiceNow CSM

The problem: Your ServiceNow instance already captures valuable signals about customer sentiment - SLA breaches, escalations, negative surveys, reopened cases, and more. However, these insights often remain distributed across multiple tables, making it challenging to proactively identify at-risk customers and act in a timely manner.

The solution: A fully automated churn detection and response engine built natively on ServiceNow CSM using Now SDK Fluent API. Zero manual data entry. Zero spreadsheets.

How the Process Works
The system runs on a continuous detect → score → classify → respond cycle:

(1) Detect: Seven business rules monitor CSM events in real-time and generate weighted Churn Signals the moment something goes wrong:
SLA breach on a case → +30
Negative CSAT survey → +25
Case escalated → +20
Case reopened after resolution → +20
P1/P2 case raised → +15
3+ cases in 7 days for same account → +10
Every signal is auto-linked to the customer's Churn Profile via the case's account reference.

(2) Score: On every new signal, a business rule sums all active signal weights for that customer into a composite churn score (0–100, capped). A customer with an SLA breach (+30), an escalation (+20), and a reopened case (+20) instantly sits at 70.

(3) Classify: The score maps to a risk level in real-time:
0–30 → Low
31–60 → Medium
61–80 → High
81–100 → Critical

(4) Respond: When risk hits High or Critical, a Flow triggers automatically:
High → Creates a "Follow-up Call" retention action + emails the Account Manager
Critical → Creates both an "Escalation" and "Follow-up Call" action + sends an urgent alert
The entire chain - from a case event to a retention action in the Account Manager's queue - happens in seconds with zero human input.

Architecture
Three core tables: Churn Profiles (one per customer, auto-created on account registration), Churn Signals (auto-generated risk events), and Retention Actions (auto-triggered interventions). A React-powered dashboard gives leadership real-time visibility into at-risk accounts, risk distribution, and top churn drivers.

Why it matters:
Proactive - catch risk at score 45, not after the cancellation email
Quantified - data-driven scores, not gut feelings
Automated - signals, scores, risk levels, and actions require zero manual input
Connected - wired directly into your CSM case lifecycle, not a disconnected spreadsheet


Your platform already has the data. This system just listens.

#𝗕𝘂𝗶𝗹𝗱𝗠𝗼𝗿𝗲𝗪𝗶𝘁𝗵𝗕𝘂𝗶𝗹𝗱𝗔𝗴𝗲𝗻𝘁 

Linkedin Post: https://www.linkedin.com/posts/akarsh-malhotra-9a22721b3_buildmorewithbuildagent-buildmorewithbuilda...

[mahendrushi]

Now Social: Agentic PR Crisis & Engagement Monitor - My #BuildMoreWithBuildAgent Submission

Social submission Link 🔗 - https://www.linkedin.com/posts/shivam-mahendru-5b212b203_buildmorewithbuildagent-servicenow-buildmor... 

Hello Community! For the #BuildMoreWithBuildAgent challenge, I wanted to move beyond traditional IT service management and tackle a massive challenge in the enterprise space: Brand Reputation and proactive Customer Service Management (CSM). I am excited to introduce Now Social, an agentic enterprise engagement and PR crisis monitor built natively on the ServiceNow platform.

Most organizations suffer from a reactive approach to public relations. By the time a viral complaint or service outage hits the CSM queue as user-submitted tickets, the brand damage is already done. Social media listening tools exist, but they are siloed dashboards, entirely disconnected from the actual workflows and teams (PR, Executives, CSM) that need to resolve the issues.

Now Social bridges this gap using agentic AI orchestration.

Data Ingestion: The app ingests social data from platforms like X, YouTube, and Instagram via REST APIs directly into ServiceNow tables. We track both company mentions and competitor data.

AI Orchestration: Through a REST integration with Google Gemini, an intelligent agent continuously runs NLP sentiment analysis on the incoming feeds.

Automated Action: If the AI detects a high-threat negative PR event, it doesn't just update a chart. It autonomously opens a Major CSM Case, alerts the relevant personas, and drafts an empathetic public response based on the company's historical reply data.

Competitor Insights: Simultaneously, a secondary agent analyses competitor data to map market trends and strategic opportunities.

For the user interface, I used Build Agent to generate a modern, minimal Bento Box layout utilizing CSS Grid. I intentionally avoided a conversational chatbot UI. Instead, the AI's conclusions are woven directly into a sleek executive dashboard featuring real-time sentiment tracking, competitor benchmarks, and an actionable crisis feed that business leaders can actually use.

By transforming unstructured social media noise into structured, automated ServiceNow workflows, Now Social empowers organizations to proactively manage public relations crises and capitalize on market gaps before they escalate. It was an incredible experience using ServiceNow Build Agent to bring this complex, multi-agent enterprise application from an idea to reality!

[muskankk]

As part of the #BuildMoreWithBuildAgent challenge, I built an application called AI Ethics Command Center using ServiceNow to bring governance and accountability to AI usage across enterprises.

Here’s a step-by-step walkthrough of how I designed and implemented the solution on my Personal Developer Instance (PDI).

🧠 Step 1: Define the App Concept

With increasing AI adoption, organizations face risks like:
• Bias in AI responses
• Toxic or harmful outputs
• Data privacy concerns

I wanted to build a system that can:
• Capture AI interactions (prompt & response)
• Evaluate them using AI for ethical risks
• Assign a risk score based on toxicity and bias
• Automatically flag and track high-risk interactions
• Provide a centralized dashboard for monitoring

💬Step 2: Prompt AI / Design the Solution

I used structured AI prompts to design the application, including:

"Create a scoped application called 'Ethical AI Auditor' with tables for AI Interactions, Ethics Policies, and Audit Violations. The system should evaluate AI prompts and responses using an external LLM, calculate a risk score, and trigger violations for high-risk cases."

This helped define:
• Data model (custom tables)
• Risk evaluation logic
• Integration with external AI
• Governance workflow

⚙️Step 3: Application in Action

• User submits an AI interaction (prompt + response)
• System sends data to an external AI model via REST
• AI evaluates for toxicity and bias
• Risk score is generated and stored
• If risk score > threshold:
→ An Audit Violation record is automatically created
• Users can re-run audits using a client-side action

📊Step 4: Dashboard & Insights

I built a modern dashboard to provide:
• 📊 Violations by Category
• 🛡️ Average Safety Rating
• 🚨 High Risk Interactions (highlighted)
• Action buttons for quick navigation

💡Step 5: Outcome

The application enables organizations to:
• Monitor AI usage in real time
• Detect ethical risks proactively
• Improve compliance and governance
• Build trust in AI-driven systems

💡 Key Takeaway

This project demonstrates how combining AI + workflow automation in ServiceNow can create powerful, enterprise-grade solutions for responsible AI adoption.

Excited to explore more in this space and continue building impactful AI-driven applications 🚀

#ServiceNow #BuiltWithAI #AI #EthicalAI #GenAI #NowAssist #Automation #Innovation #LearningJourney#ServiceNow #BuildAgent #GenAI #VisitorManagement #DigitalTransformation #CreatorCon #WorkflowAutomation #BuildMoreWithBuildAgent  

[SUBHAM_SHAW_SN]

Hello @laurentapia ,

🚀 Excited to share my submission for the #BuildMoreWithBuildAgent Challenge!

🔗 LinkedIn Post (Challenge Submission): Click to open Link

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💡 For this challenge, I built DecisionTwin – Business Scenario Simulation & Impact Intelligence, a solution that enables users to simulate business decisions and evaluate their impact before execution.

🏢 In many organizations, decisions like budget changes, resource allocation, or vendor selection are made without complete visibility. DecisionTwin addresses this by allowing users to create “what-if” scenarios and instantly understand outcomes in terms of risk, cost, and success probability.

⚡ The application provides an interactive simulation experience, scenario comparison, and insights to support better and more informed decision-making.

📊 It also includes a modern dashboard with KPIs, charts, and a clean tab-based UI (Overview, Simulation, Comparison, Insights) using card-based design and color-coded indicators.

---

🧠 Below are the exact prompts used to build DecisionTwin using ServiceNow Build Agent:

---

Prompt 1

Create a scoped application called "DecisionTwin – Business Scenario Simulation & Impact Intelligence" with scope name decision_twin.

Define core tables:

• Scenario

• Scenario Input

• Scenario Result

Scenario should include:

• Name

• Scenario Type (Budget Change, Resource Allocation, Vendor Decision)

Input fields:

• Budget Change % (-50 to +50)

• Team Size Change % (-30 to +30)

• Vendor Rating (1–5)

Output fields:

• Risk Level (Low, Medium, High)

• Cost Impact (%)

• Success Probability (%)

• Recommendation

Generate realistic demo data:

• 60–100 scenarios

• Ensure variation across all scenario types

Risk distribution:

• 30% High

• 40% Medium

• 30% Low

Ensure all fields are populated so dashboards and UI components display meaningful insights.

---

Prompt 2

Enhance DecisionTwin with a dynamic Impact Engine, real-time simulation behavior, and intelligent insights.

Impact Engine:

• Budget decrease → higher risk

• Resource reduction → higher delay risk

• High vendor rating → lower risk

Calculate:

• Risk Level

• Cost Impact (%)

• Success Probability (%)

Ensure realistic relationships between inputs and outputs.

Real-Time Simulation:

• When input values change, update:

  • Risk Level

  • Success Probability

  • Cost Impact

• Simulate immediate feedback behavior for better user experience

AI Insights:

• Explanation of risk level

• Key contributing factors

• Suggested actions to improve outcome

Ensure insights are human-readable and clearly structured.

---

Prompt 3

Enhance DecisionTwin with a modern, dynamic, tab-based user interface and visually rich dashboard.

Create tab-based navigation:

1. Overview

2. Simulation

3. Comparison

4. Insights

Overview Tab:

• KPI Cards:

  • Total Scenarios

  • High Risk Scenarios

  • Average Success Probability

  • Average Cost Impact

• Charts:

  • Pie Chart: Risk Distribution

  • Bar Chart: Scenario Type vs Risk

  • Trend Chart: Scenarios over time

• Lists:

  • Top High-Risk Scenarios

  • Recently Created Scenarios

Simulation Tab:

• Inputs using sliders:

  • Budget Change %

  • Team Size Change %

  • Vendor Rating

• Dynamic results:

  • Risk Level (color-coded)

  • Success Probability (progress bar)

  • Cost Impact (%)

• Ensure values update dynamically when inputs change

Comparison Tab:

• Display multiple scenarios side-by-side

• Show:

  • Risk Level

  • Cost Impact

  • Success Probability

• Highlight best scenario using a "Recommended" badge

Insights Tab:

• Risk explanation

• Key contributing factors

• Suggested improvements

UI Design:

• Workspace-style layout

• Card-based components with rounded corners and shadows

• Color coding:

  • Green = Low Risk

  • Orange = Medium Risk

  • Red = High Risk

• Clean spacing and modern typography

• Smooth interaction and responsive design

Goal:
Create a highly interactive, visually appealing decision intelligence platform that feels modern, dynamic, and user-friendly.

---

Prompt 4

Enhance the DecisionTwin application to ensure the dashboard is fully populated with meaningful data and properly connected to the Scenario table.

Data Fix:

• Ensure all Scenario records have values for:

  • Risk Level (Low, Medium, High)

  • Success Probability (0–100)

  • Cost Impact (%)

  • Scenario Type

• If any values are missing, auto-calculate them using existing inputs:

  • Budget decrease → increase risk, reduce success

  • Resource reduction → increase risk

  • High vendor rating → increase success

• Update existing records OR generate additional records if needed (at least 60–100 total)

Dashboard Binding:

• Ensure all dashboard widgets pull data from the Scenario table

Charts:

1. Risk Distribution → group by Risk Level

2. Scenario Type vs Risk → group by Scenario Type and Risk Level

3. Success Probability → use average or distribution

Lists:

• Top High-Risk Scenarios (Risk Level = High)

• Recent Scenarios (sorted by Created Date)

UI:

• Ensure widgets are not empty

• KPI cards should display:

  • Total Scenarios

  • High Risk Count

  • Average Success %

Goal:
The dashboard should be fully populated, visually informative, and display realistic insights.

💡 These prompts enabled the creation of a complete, interactive, and insight-driven decision simulation platform using Build Agent.

#BuildMoreWithBuildAgent #BuildWithBuildAgent

Thanks & Regards,

Subham Kumar Shaw

ServiceNow Architect/Consultant
ServiceNow Community Rising Star ' 2022/2023/2024