read this and tell me Is this right for me? I mean, I'm an employer and I am a company Oriskara Inc. And I have EIN and bank account, but other than that, I don't have anything as mentioned in this document. So just tell me, do some research and tell me that if I do this for one intern as an employer, does that cost me anything? What will that cost be? And what are the key things that I should make note of? Also, that my company is incorporated in Delaware state, so I hope there is no any nexus or something which forces me to make subsidiary company in some other state because the intern might be in some another location possibly. So yeah, just give me an overview what I should be aware of from this.

Reading File

Running Command

cd /home/daytona/workspace/attachments/dea93022-31e6-4d83-ae96-f342cf2ce0f6/ && python3 -c " import pdfplumber with pdfplumber.open('stem_opt_startup_founder_guide_clickable.pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): print(f'--- PAGE {i+1} ---') print(page.extract_text()) "

Searching the Web

STEM OPT employer requirements E-Verify cost 2025 startup

Searching the Web

Delaware incorporated company remote employee another state payroll tax nexus obligations employer 2025

I now have everything needed for a thorough answer. Here's the full breakdown:

STEM OPT Employer Guide - What You Need to Know (Oriskara Inc.)

Your Starting Position

You already have:

EIN - done
Business bank account - done

You still need to complete:

Payroll setup
E-Verify enrollment
Form I-9 process (at time of hire)
Form I-983 (Training Plan, completed jointly with the intern)

The good news: you're closer than most startups. The document is accurate and applies directly to you.

What Will This Cost You?

1. E-Verify - Free

E-Verify is a free DHS program. There is zero enrollment fee and no per-case cost. You just register at E-Verify.gov, sign a Memorandum of Understanding (MOU), and get a Company ID. Takes roughly 30-60 minutes to set up.

2. Payroll Provider - ~$40-100/month (varies)

The document recommends Gusto, Rippling, ADP, or Paychex. For a single employee, typical costs are:

Gusto: ~$40/month base + $6/month per person = roughly $46/month
Rippling: roughly similar; starts around $35/month + per-user fee
ADP/Paychex: often more expensive, better suited for larger companies

Payroll handles federal/state tax withholding, W-2 issuance, and direct deposit - all legally required. This is your main recurring cost.

3. Intern Compensation - Required, not optional

STEM OPT explicitly prohibits unpaid positions. The intern must receive pay at a rate "comparable to similarly situated U.S. workers." For a tech intern, that's typically $20-30+/hr depending on role and location. This is your biggest cost by far - not a fee, but a salary obligation.

4. I-9 and I-983 Forms - Free

These are government forms. No filing fee. You fill them out, keep copies, and the intern submits I-983 to their university's DSO. No cost to you.

Summary of out-of-pocket fees for one intern:

Item	Cost
E-Verify enrollment	$0
Payroll setup (e.g. Gusto)	~$46/month
I-9 / I-983 forms	$0
Immigration attorney (optional but recommended)	$0 if you skip; $500-$2,000 if you use one
Total fees	~$46/month ongoing

The intern's salary is separate and is your real cost.

The Delaware / Multi-State Nexus Question - This Is Real

This is the most important thing you asked about, and you're right to flag it. You do NOT need to form a subsidiary in another state - but you will have payroll tax obligations in whatever state the intern physically works from.

Here's what that means practically:

Incorporated in Delaware = fine, no issue. Delaware incorporation does not restrict where you hire.
Intern works remotely from, say, Texas or California = you create payroll tax nexus in that state. Even one remote employee working from their home state triggers a registration obligation.
What you must do: Register as a foreign employer for payroll taxes in that state. This means:
- Register with that state's Department of Revenue (for income tax withholding)
- Register with that state's unemployment insurance agency (for SUI - State Unemployment Insurance)
- Withhold and remit the correct state income tax from the intern's paychecks

This is not forming a subsidiary. It's a much lighter registration - usually done online in under an hour. A good payroll provider like Gusto will often flag this and even handle the state registrations for you when you add an employee in a new state.

One important edge case: Delaware has a "convenience of the employer" rule, which in some interpretations can pull taxes back to the employer's state. New York, Nebraska, and Connecticut have similar rules. If the intern is remote and you're a Delaware company, check with your payroll provider on which state's withholding applies - it can vary.

You do NOT need a subsidiary. You just need a state payroll registration.

Key Things to Keep in Mind

E-Verify applies to ALL new hires going forward - not just the STEM OPT intern. Once you enroll, you must run every new hire through E-Verify. You can't use it selectively. This is fine for a small startup but worth knowing.
The intern must be paid at least 20 hours/week - part-time is allowed, but unpaid is never allowed. Structure the offer letter to clearly state hours and pay rate.
The job title and duties must match the student's STEM degree - e.g., if they studied Computer Science, the role should be software/ML/data engineer, not operations or marketing.
I-983 Training Plan has ongoing obligations - you need to complete and sign two evaluations: one at the 12-month mark and one at the end. If the student leaves early, you notify the DSO within 5 business days.
Keep records - I-9s, E-Verify cases, pay stubs, I-983 copies, offer letters, and evidence of real work (code commits, tickets, project docs). ICE has been tightening OPT oversight as of May 2026, so documentation matters more than ever.
Timing - the student applies for STEM OPT through their university, not through you. They need your E-Verify Company ID and your signed I-983 before their DSO submits the application. Get E-Verify done before the intern's start date.
The intern cannot start STEM OPT work before USCIS approves their EAD (Employment Authorization Document) - double-check their authorization card before the first day.

Bottom Line for Oriskara Inc.

You already have the two hardest things (EIN + bank account). What's left is:

Sign up for a payroll provider (~1 hour, ~$46/month)
Enroll in E-Verify (~1 hour, free)
When the intern is hired: complete I-9 on day one, create E-Verify case within 3 business days, co-sign I-983 with the intern
Register for payroll taxes in whatever state the intern works from (your payroll provider will likely prompt you)

No subsidiary needed. No complex legal entity restructuring. Just payroll registration in the intern's work state - which Gusto or Rippling can largely handle automatically.

can you explain that state thing again and in easier words assume that the intern works remotely from california and i am using gusto

Searching the Web

Gusto automatically register employer California payroll taxes remote employee out of state company

Here's the simple version:

The State Tax Thing, Explained Simply

Think of it this way: taxes follow the person, not the company.

Your company (Oriskara Inc.) is incorporated in Delaware. But if the intern is sitting in their apartment in California and doing work on their laptop - California sees that as work happening in California. California wants its cut of income tax, and it wants you registered as an employer there.

You don't need a new company. You just need to register as an employer in California. It's more like filling out a form with California's tax agency (called the EDD - Employment Development Department). That's it.

What Gusto Actually Does For You

This is where Gusto makes your life easy. Here's literally what happens:

You add the intern in Gusto as an employee
You enter their work address as a California address
Gusto detects that you're now hiring in a state you're not yet registered in
Gusto shows you a to-do on your dashboard saying "you need to register in California"
Gusto (through a partner called Middesk) handles the California registration for you - it's a paid add-on feature but it's straightforward
Once registered, every time you run payroll, Gusto automatically calculates, withholds, and pays California state taxes on your behalf

You don't have to figure out California tax rates, forms, or filing deadlines. Gusto does all of that.

What California Taxes Are Involved?

When you have even one employee in California, you're on the hook for these (Gusto handles all of them):

Tax	What It Is	Who Pays
CA State Income Tax (PIT)	State income tax withheld from intern's paycheck	Intern pays, you withhold
State Unemployment Insurance (UI)	In case the intern loses the job	You pay as employer
Employment Training Tax (ETT)	Tiny CA employer tax	You pay
State Disability Insurance (SDI)	Short-term disability coverage	Intern pays, you withhold

Your extra cost as employer: UI + ETT, which for one part-time intern will likely be a small amount - roughly $50-150 total over the internship, depending on wages paid.

The One-Line Summary

Your Delaware incorporation is fine. The moment your California intern works their first day, you register with California's tax agency (Gusto walks you through it and can do it for you), and then Gusto handles all the California tax math automatically every payroll run. No new company, no subsidiary, no lawyer needed for this part.

The registration is a one-time setup step, not an ongoing headache. After that, Gusto runs on autopilot for it.

and what happens when the intern leaves do i still incur this expenses?

Good question. The short answer is: most costs stop, but a few small things linger.

Here's the breakdown:

What Stops Immediately When the Intern Leaves

Salary - obviously stops on their last day
Gusto per-person fee (~$6/month) - stops once you remove them from payroll
California payroll taxes (UI, ETT, SDI, PIT withholding) - stop because there's no more payroll to run in California

What Lingers (and For How Long)

1. Gusto base fee (~$40/month) This keeps running as long as you have an active Gusto account. If this intern is your only employee and they leave, you can pause or cancel Gusto entirely and the fee goes away. If you plan to hire again soon, most people just keep it active.

2. California employer registration - stays on file Your registration with California's EDD doesn't automatically close. You'll need to file a final payroll return with California (Gusto handles the filing, but you may need to formally close the account if you have no more CA employees). If you just leave it open with zero activity, California may send you annual zero-dollar filing notices. It's a minor admin thing, not a cost - but worth closing cleanly.

3. California UI "experience rating" This one is worth knowing: if the intern files for unemployment benefits after leaving, California could charge those claims against your UI account, which can raise your UI tax rate for future California hires. For a short internship this is usually negligible, and STEM OPT students on a visa typically don't qualify for unemployment - but it's technically possible depending on circumstances.

3. E-Verify account Stays open, free, zero maintenance cost. No action needed unless you want to close it (you probably shouldn't - you'll need it for any future STEM OPT hires or if required by contract).

The One-Line Answer

Once the intern leaves, your costs basically go to zero. The only cleanup is telling Gusto to remove the employee, and optionally closing your California EDD account if you won't have any more California employees. Gusto will prompt you through both of those steps.

just chenage the comapny name to Orris Care, Inc. and date to 11 june 26

Reading File

Running Command

cd "/home/daytona/workspace/attachments/dea93022-31e6-4d83-ae96-f342cf2ce0f6/" && python3 -c " import pdfplumber with pdfplumber.open('AWS_Activate_Use_Case_Justification_OrrisCare (1) (1).pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): print(f'--- PAGE {i+1} ---') print(page.extract_text()) # Also check for words with positions to find company name and date locations "

Running Command

python3 -c " from reportlab.lib.pagesizes import letter from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import inch from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer from reportlab.lib.enums import TA_LEFT, TA_JUSTIFY from reportlab.lib import colors output_path = '/home/daytona/workspace/AWS_Activate_Use_Case_Justification_OrrisCare_updated.pdf' doc = SimpleDocTemplate( output_path, pagesize=letter, rightMargin=1*inch, leftMargin=1*inch, topMargin=1*inch, bottomMargin=1*inch ) styles = getSampleStyleSheet() title_style = ParagraphStyle('title', fontSize=14, fontName='Helvetica-Bold', spaceAfter=4, alignment=TA_LEFT) subtitle_style = ParagraphStyle('subtitle', fontSize=11, fontName='Helvetica', spaceAfter=2, alignment=TA_LEFT) meta_style = ParagraphStyle('meta', fontSize=11, fontName='Helvetica', spaceAfter=2, alignment=TA_LEFT) body_style = ParagraphStyle('body', fontSize=11, fontName='Helvetica', spaceAfter=8, alignment=TA_JUSTIFY, leading=16) section_style = ParagraphStyle('section', fontSize=11, fontName='Helvetica-Bold', spaceAfter=4, spaceBefore=10, alignment=TA_LEFT) bullet_style = ParagraphStyle('bullet', fontSize=11, fontName='Helvetica', spaceAfter=4, leftIndent=20, alignment=TA_JUSTIFY, leading=16) sign_style = ParagraphStyle('sign', fontSize=11, fontName='Helvetica', spaceAfter=2, alignment=TA_LEFT) story = [] story.append(Paragraph('AWS Activate Credits \u2014 Use Case Justification', title_style)) story.append(Paragraph('Submitted in support of our AWS Activate Credit application', subtitle_style)) story.append(Spacer(1, 10)) story.append(Paragraph('Company: Orris Care, Inc.', meta_style)) story.append(Paragraph('Applicant: Divyam Agrawal', meta_style)) story.append(Paragraph('Date: June 11, 2026', meta_style)) story.append(Spacer(1, 14)) story.append(Paragraph('Dear AWS Activate Team,', body_style)) story.append(Paragraph( 'Thank you for reviewing our AWS Activate Credit application. Below is a written justification of our use ' 'case, outlining what we are building, why AWS is central to our infrastructure, and how the Activate ' 'credits will be applied.', body_style )) story.append(Paragraph('About Orris Care', section_style)) story.append(Paragraph( 'Orris Care, Inc. is an early-stage healthcare technology startup building a clinical ' 'decision support (CDS) tool for physicians. Our product assists doctors at the point of care by ' 'surfacing relevant clinical context, helping interpret patient information, and providing ' 'evidence-aligned suggestions that support faster, more informed clinical decisions. The goal is to ' 'reduce cognitive load on clinicians and improve the quality and consistency of care, while keeping the ' 'doctor firmly in control of every decision.', body_style )) story.append(Paragraph('Why We Need AWS Activate Credits', section_style)) story.append(Paragraph( 'As a pre-revenue startup, our largest near-term cost is cloud infrastructure. Healthcare AI workloads ' 'are compute- and inference-intensive, and building a reliable, secure, and compliant platform requires ' 'meaningful investment before we generate revenue. AWS Activate credits would directly fund the ' 'infrastructure needed to run both our MVP and our initial production workloads, allowing us to validate ' 'the product with real clinical users and scale responsibly without diverting scarce early capital away ' 'from product and team development.', body_style )) story.append(Paragraph('How We Will Use the Credits', section_style)) story.append(Paragraph( 'The credits will be applied to run our MVP and production workloads end to end on AWS. Our ' 'architecture relies on the following core services:', body_style )) bullets = [ 'Amazon EC2: Hosting our backend application services, APIs, and compute for the clinical decision support engine.', 'Amazon ECS: Orchestrating and scaling our containerized microservices for the MVP and production environments.', 'Amazon S3: Secure, durable storage for application data, document assets, model artifacts, and audit logs.', 'Amazon Bedrock: Powering the generative-AI and large language model capabilities behind our clinical assistance features, using managed foundation models without operating our own GPU fleet.', 'Supporting services: Amazon RDS for relational data, Amazon CloudWatch for monitoring and observability, AWS IAM and KMS for access control and encryption, and Amazon VPC for network isolation \u2014 all selected to support a secure, healthcare-grade environment.', ] for b in bullets: story.append(Paragraph(f'\u2022 {b}', bullet_style)) story.append(Paragraph('Expected Impact', section_style)) story.append(Paragraph( 'With AWS Activate credits, we will be able to deploy a stable MVP for pilot use by physicians, iterate ' 'quickly based on real clinical feedback, and transition into a production-grade deployment that can ' 'scale with demand. AWS is our long-term cloud platform of choice, and this support during our ' 'earliest and most capital-constrained stage would have an outsized impact on our ability to bring a ' 'meaningful clinical tool to market. We are committed to growing our AWS footprint as we scale.', body_style )) story.append(Paragraph( 'We would be glad to provide any additional information needed to process our application. Thank you ' 'for your time and consideration.', body_style )) story.append(Spacer(1, 14)) story.append(Paragraph('Sincerely,', sign_style)) story.append(Spacer(1, 6)) story.append(Paragraph('Divyam Agrawal', sign_style)) story.append(Paragraph('Orris Care, Inc.', sign_style)) doc.build(story) print('Done:', output_path) "

Done. Here's the updated PDF with:

Company name changed from ORR IS CARE PRIVATE LIMITED to Orris Care, Inc. (everywhere it appeared)
Date updated to June 11, 2026

AWS Activate Use Case Justification OrrisCare updated

PDF Document · PDF

i am not able to view this pdf there is some problem

Running Command

ls -la /home/daytona/workspace/AWS_Activate_Use_Case_Justification_OrrisCare_updated.pdf && python3 -c " from pypdf import PdfReader r = PdfReader('/home/daytona/workspace/AWS_Activate_Use_Case_Justification_OrrisCare_updated.pdf') print('Pages:', len(r.pages)) print('First 200 chars:', r.pages[0].extract_text()[:200]) "

Running Command

python3 -c " from reportlab.lib.pagesizes import letter from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import inch from reportlab.platypus import SimpleDocTemplate, Paragraph, Spacer, HRFlowable from reportlab.lib.enums import TA_LEFT, TA_JUSTIFY from reportlab.pdfbase import pdfmetrics output_path = '/home/daytona/workspace/AWS_Activate_OrrisCare_v2.pdf' doc = SimpleDocTemplate( output_path, pagesize=letter, rightMargin=1.1*inch, leftMargin=1.1*inch, topMargin=1*inch, bottomMargin=1*inch, title='AWS Activate Credits - Use Case Justification', author='Divyam Agrawal', subject='AWS Activate Credit Application - Orris Care, Inc.', ) title_style = ParagraphStyle('title', fontSize=15, fontName='Helvetica-Bold', spaceAfter=3, alignment=TA_LEFT) subtitle_style = ParagraphStyle('subtitle', fontSize=10.5, fontName='Helvetica-Oblique', spaceAfter=10, alignment=TA_LEFT) meta_style = ParagraphStyle('meta', fontSize=10.5, fontName='Helvetica', spaceAfter=3, alignment=TA_LEFT) body_style = ParagraphStyle('body', fontSize=10.5, fontName='Helvetica', spaceAfter=9, alignment=TA_JUSTIFY, leading=16) section_style = ParagraphStyle('section', fontSize=10.5, fontName='Helvetica-Bold', spaceAfter=4, spaceBefore=12, alignment=TA_LEFT) bullet_style = ParagraphStyle('bullet', fontSize=10.5, fontName='Helvetica', spaceAfter=5, leftIndent=16, firstLineIndent=0, alignment=TA_JUSTIFY, leading=16) sign_style = ParagraphStyle('sign', fontSize=10.5, fontName='Helvetica', spaceAfter=3, alignment=TA_LEFT) story = [] story.append(Paragraph('AWS Activate Credits \u2014 Use Case Justification', title_style)) story.append(Paragraph('Submitted in support of our AWS Activate Credit application', subtitle_style)) story.append(HRFlowable(width='100%', thickness=0.5, color='grey', spaceAfter=8)) story.append(Paragraph('Company: Orris Care, Inc.', meta_style)) story.append(Paragraph('Applicant: Divyam Agrawal', meta_style)) story.append(Paragraph('Date: June 11, 2026', meta_style)) story.append(Spacer(1, 14)) story.append(Paragraph('Dear AWS Activate Team,', body_style)) story.append(Paragraph( 'Thank you for reviewing our AWS Activate Credit application. Below is a written justification of our use ' 'case, outlining what we are building, why AWS is central to our infrastructure, and how the Activate ' 'credits will be applied.', body_style )) story.append(Paragraph('About Orris Care', section_style)) story.append(Paragraph( 'Orris Care, Inc. is an early-stage healthcare technology startup building a clinical ' 'decision support (CDS) tool for physicians. Our product assists doctors at the point of care by ' 'surfacing relevant clinical context, helping interpret patient information, and providing ' 'evidence-aligned suggestions that support faster, more informed clinical decisions. The goal is to ' 'reduce cognitive load on clinicians and improve the quality and consistency of care, while keeping the ' 'doctor firmly in control of every decision.', body_style )) story.append(Paragraph('Why We Need AWS Activate Credits', section_style)) story.append(Paragraph( 'As a pre-revenue startup, our largest near-term cost is cloud infrastructure. Healthcare AI workloads ' 'are compute- and inference-intensive, and building a reliable, secure, and compliant platform requires ' 'meaningful investment before we generate revenue. AWS Activate credits would directly fund the ' 'infrastructure needed to run both our MVP and our initial production workloads, allowing us to validate ' 'the product with real clinical users and scale responsibly without diverting scarce early capital away ' 'from product and team development.', body_style )) story.append(Paragraph('How We Will Use the Credits', section_style)) story.append(Paragraph( 'The credits will be applied to run our MVP and production workloads end to end on AWS. Our ' 'architecture relies on the following core services:', body_style )) bullets = [ ('Amazon EC2:', 'Hosting our backend application services, APIs, and compute for the clinical decision support engine.'), ('Amazon ECS:', 'Orchestrating and scaling our containerized microservices for the MVP and production environments.'), ('Amazon S3:', 'Secure, durable storage for application data, document assets, model artifacts, and audit logs.'), ('Amazon Bedrock:', 'Powering the generative-AI and large language model capabilities behind our clinical assistance features, using managed foundation models without operating our own GPU fleet.'), ('Supporting services:', 'Amazon RDS for relational data, Amazon CloudWatch for monitoring and observability, AWS IAM and KMS for access control and encryption, and Amazon VPC for network isolation \u2014 all selected to support a secure, healthcare-grade environment.'), ] for label, text in bullets: story.append(Paragraph(f'\u2022\u00a0\u00a0{label} {text}', bullet_style)) story.append(Paragraph('Expected Impact', section_style)) story.append(Paragraph( 'With AWS Activate credits, we will be able to deploy a stable MVP for pilot use by physicians, iterate ' 'quickly based on real clinical feedback, and transition into a production-grade deployment that can ' 'scale with demand. AWS is our long-term cloud platform of choice, and this support during our ' 'earliest and most capital-constrained stage would have an outsized impact on our ability to bring a ' 'meaningful clinical tool to market. We are committed to growing our AWS footprint as we scale.', body_style )) story.append(Paragraph( 'We would be glad to provide any additional information needed to process our application. Thank you ' 'for your time and consideration.', body_style )) story.append(Spacer(1, 20)) story.append(Paragraph('Sincerely,', sign_style)) story.append(Spacer(1, 18)) story.append(Paragraph('Divyam Agrawal', sign_style)) story.append(Paragraph('Orris Care, Inc.', sign_style)) doc.build(story) import os size = os.path.getsize(output_path) print(f'Done: {output_path} ({size} bytes)') "

Try this version - it has better metadata and formatting that should open cleanly in any PDF viewer:

AWS Activate OrrisCare v2

PDF Document · PDF

If this still doesn't open, can you tell me what device/app you're using to view it? That'll help me figure out if it's a viewer compatibility issue or something else. Alternatively, I can export it as a Word document (.docx) instead if that's easier for you.

when i am downloading it its just 45 b i think there is some problem over there

Reading File

Running Command

ls /home/daytona/skills/docx/scripts/office/

Running Command

mkdir -p /home/daytona/workspace/orriscare-doc && cat > /home/daytona/workspace/orriscare-doc/create.js << 'EOF' const { Document, Packer, Paragraph, TextRun, AlignmentType, HeadingLevel, BorderStyle } = require('docx'); const fs = require('fs'); const doc = new Document({ creator: "Divyam Agrawal", title: "AWS Activate Credits - Use Case Justification", description: "AWS Activate Credit Application - Orris Care, Inc.", sections: [{ children: [ new Paragraph({ children: [new TextRun({ text: "AWS Activate Credits — Use Case Justification", bold: true, size: 28 })], alignment: AlignmentType.LEFT, spacing: { after: 80 }, }), new Paragraph({ children: [new TextRun({ text: "Submitted in support of our AWS Activate Credit application", italics: true, size: 22 })], alignment: AlignmentType.LEFT, spacing: { after: 160 }, }), new Paragraph({ children: [ new TextRun({ text: "Company: ", bold: true, size: 22 }), new TextRun({ text: "Orris Care, Inc.", size: 22 }), ], spacing: { after: 60 }, }), new Paragraph({ children: [ new TextRun({ text: "Applicant: ", bold: true, size: 22 }), new TextRun({ text: "Divyam Agrawal", size: 22 }), ], spacing: { after: 60 }, }), new Paragraph({ children: [ new TextRun({ text: "Date: ", bold: true, size: 22 }), new TextRun({ text: "June 11, 2026", size: 22 }), ], spacing: { after: 240 }, }), new Paragraph({ children: [new TextRun({ text: "Dear AWS Activate Team,", size: 22 })], spacing: { after: 160 }, }), new Paragraph({ children: [new TextRun({ text: "Thank you for reviewing our AWS Activate Credit application. Below is a written justification of our use case, outlining what we are building, why AWS is central to our infrastructure, and how the Activate credits will be applied.", size: 22 })], alignment: AlignmentType.JUSTIFIED, spacing: { after: 200 }, }), // Section: About new Paragraph({ children: [new TextRun({ text: "About Orris Care", bold: true, size: 22 })], spacing: { before: 200, after: 100 }, }), new Paragraph({ children: [new TextRun({ text: "Orris Care, Inc. is an early-stage healthcare technology startup building a clinical decision support (CDS) tool for physicians. Our product assists doctors at the point of care by surfacing relevant clinical context, helping interpret patient information, and providing evidence-aligned suggestions that support faster, more informed clinical decisions. The goal is to reduce cognitive load on clinicians and improve the quality and consistency of care, while keeping the doctor firmly in control of every decision.", size: 22 })], alignment: AlignmentType.JUSTIFIED, spacing: { after: 200 }, }), // Section: Why new Paragraph({ children: [new TextRun({ text: "Why We Need AWS Activate Credits", bold: true, size: 22 })], spacing: { before: 200, after: 100 }, }), new Paragraph({ children: [new TextRun({ text: "As a pre-revenue startup, our largest near-term cost is cloud infrastructure. Healthcare AI workloads are compute- and inference-intensive, and building a reliable, secure, and compliant platform requires meaningful investment before we generate revenue. AWS Activate credits would directly fund the infrastructure needed to run both our MVP and our initial production workloads, allowing us to validate the product with real clinical users and scale responsibly without diverting scarce early capital away from product and team development.", size: 22 })], alignment: AlignmentType.JUSTIFIED, spacing: { after: 200 }, }), // Section: How new Paragraph({ children: [new TextRun({ text: "How We Will Use the Credits", bold: true, size: 22 })], spacing: { before: 200, after: 100 }, }), new Paragraph({ children: [new TextRun({ text: "The credits will be applied to run our MVP and production workloads end to end on AWS. Our architecture relies on the following core services:", size: 22 })], alignment: AlignmentType.JUSTIFIED, spacing: { after: 120 }, }), // Bullets new Paragraph({ children: [ new TextRun({ text: "Amazon EC2: ", bold: true, size: 22 }), new TextRun({ text: "Hosting our backend application services, APIs, and compute for the clinical decision support engine.", size: 22 }), ], bullet: { level: 0 }, spacing: { after: 80 }, }), new Paragraph({ children: [ new TextRun({ text: "Amazon ECS: ", bold: true, size: 22 }), new TextRun({ text: "Orchestrating and scaling our containerized microservices for the MVP and production environments.", size: 22 }), ], bullet: { level: 0 }, spacing: { after: 80 }, }), new Paragraph({ children: [ new TextRun({ text: "Amazon S3: ", bold: true, size: 22 }), new TextRun({ text: "Secure, durable storage for application data, document assets, model artifacts, and audit logs.", size: 22 }), ], bullet: { level: 0 }, spacing: { after: 80 }, }), new Paragraph({ children: [ new TextRun({ text: "Amazon Bedrock: ", bold: true, size: 22 }), new TextRun({ text: "Powering the generative-AI and large language model capabilities behind our clinical assistance features, using managed foundation models without operating our own GPU fleet.", size: 22 }), ], bullet: { level: 0 }, spacing: { after: 80 }, }), new Paragraph({ children: [ new TextRun({ text: "Supporting services: ", bold: true, size: 22 }), new TextRun({ text: "Amazon RDS for relational data, Amazon CloudWatch for monitoring and observability, AWS IAM and KMS for access control and encryption, and Amazon VPC for network isolation — all selected to support a secure, healthcare-grade environment.", size: 22 }), ], bullet: { level: 0 }, spacing: { after: 200 }, }), // Section: Expected Impact new Paragraph({ children: [new TextRun({ text: "Expected Impact", bold: true, size: 22 })], spacing: { before: 200, after: 100 }, }), new Paragraph({ children: [new TextRun({ text: "With AWS Activate credits, we will be able to deploy a stable MVP for pilot use by physicians, iterate quickly based on real clinical feedback, and transition into a production-grade deployment that can scale with demand. AWS is our long-term cloud platform of choice, and this support during our earliest and most capital-constrained stage would have an outsized impact on our ability to bring a meaningful clinical tool to market. We are committed to growing our AWS footprint as we scale.", size: 22 })], alignment: AlignmentType.JUSTIFIED, spacing: { after: 200 }, }), new Paragraph({ children: [new TextRun({ text: "We would be glad to provide any additional information needed to process our application. Thank you for your time and consideration.", size: 22 })], alignment: AlignmentType.JUSTIFIED, spacing: { after: 400 }, }), // Signature new Paragraph({ children: [new TextRun({ text: "Sincerely,", size: 22 })], spacing: { after: 320 }, }), new Paragraph({ children: [new TextRun({ text: "Divyam Agrawal", size: 22 })], spacing: { after: 60 }, }), new Paragraph({ children: [new TextRun({ text: "Orris Care, Inc.", size: 22 })], spacing: { after: 60 }, }), ] }] }); Packer.toBuffer(doc).then(buffer => { fs.writeFileSync('/home/daytona/workspace/orriscare-doc/AWS_Activate_OrrisCare_Final.docx', buffer); console.log('Done. Size:', buffer.length, 'bytes'); }); EOF cd /home/daytona/workspace/orriscare-doc && node create.js

Running Command

python3 /home/daytona/skills/docx/scripts/office/validate.py /home/daytona/workspace/orriscare-doc/AWS_Activate_OrrisCare_Final.docx

Running Command

# Verify the docx is a valid zip with correct structure python3 -c " import zipfile path = '/home/daytona/workspace/orriscare-doc/AWS_Activate_OrrisCare_Final.docx' with zipfile.ZipFile(path) as z: names = z.namelist() print('Files in docx:', names) # Check word/document.xml exists if 'word/document.xml' in names: print('VALID: word/document.xml present') # Check size import os print('File size:', os.path.getsize(path), 'bytes') "

The file is a fully valid Word document (10KB). Try downloading this - it should work fine:

AWS Activate OrrisCare Final

Word Document · DOCX

This is a .docx (Word) file instead of PDF - opens in Microsoft Word, Google Docs, or any standard document viewer. All the content is identical to the original, with just the company name changed to Orris Care, Inc. and the date updated to June 11, 2026. If you need it back as a PDF, you can open it in Word/Google Docs and export to PDF from there.

$attachment$

image.png

draft this again filling the placeholder and remove ai slops. Hi [NAME], thanks for connecting! I'm [YOUR NAME], founder of a small startup looking at how Medical Affairs teams work with the literature and build their presentations. I saw you've been working in [AREA] at [COMPANY] — exactly the kind of perspective I'm trying to learn from. I'm genuinely just researching, not selling anything. Could I get 15-20 min of your time to hear how you approach it? And if a call is tough, even a few quick thoughts by message would be hugely helpful. Thanks either way — really appreciate it! my name is Divyam and the other context of the person i am reaching out to is in the photos

From the screenshots I can see her full profile. Here's the rewritten message:

Hi Prachi, thanks for connecting!

I'm Divyam, founder of a small startup looking at how Medical Affairs teams handle literature and build their presentations. I saw you're in Medical Affairs Communications at Bayer, and your background across Bayer, AstraZeneca, and Alexion covering medical review and content is exactly the kind of experience I want to learn from.

I'm purely in research mode - not pitching anything. Would you have 15-20 min for a quick call? Even a few thoughts by message works if a call is hard to fit in.

Either way, appreciate it!

Kept it short, specific to her actual background, and nothing salesy.

This is a shared conversation. Sign in to Orris to start your own chat.