a studio quote widget for agency clients
What this app does
An embedded lead-generation widget for a single creative studio's existing agency website. Visitors select a service, define the project scope and timeline, and describe their project; two chained AI agents produce a price estimate and a client-facing message, followed by a Stripe deposit checkout. Studio staff manage services and pricing rules and review submitted leads and their payment status.
As a prospective client, I can select a service, project scope, and timeline and describe my project to request a quote.
As a prospective client, I can receive a generated estimate and client-facing message and proceed to pay the required deposit through Stripe.
As studio staff, I can create and update the services and pricing rules used by the quote widget.
As studio staff, I can review submitted leads, generated estimates, project descriptions, and deposit payment status.
1195
prospective_clients
Visitors and leads who use the embedded widget to request a quote and may pay a studio deposit.
5
studio_staff
The single studio's staff who maintain services and pricing rules and review leads and payment status.
How your requirements become a plan and a price
Momen doesn't give a vague quote: it first sizes the project's actual demand for each capability and resource, then costs each item out. The numbers in the 'Project demand' column below — their scale assumptions and derivations — are detailed in Scale & sizing
Minimum viable plan
PRO
Stripe deposit checkout requires payment capability
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
PRO
x 1
Pro is the minimum viable plan
Pro
(Plan tier: PRO)
See minimum viable plan above
$ 99
single-tenant kit
x 0
1 req/s
not purchased
(plan/kit 25 req/s)
Covered by plan/kit (margin ~2400%)
$ 0
Database storage add-on
x 0
153.27 MB
not purchased
(plan/kit 1.00 GB)
Covered by plan/kit (margin ~552%)
$ 0
Object storage
add-on
x 0
0 B
not purchased
(plan/kit 10.00 GB)
No requirement
$ 0
Outbound data transfer add-on
x 0
0 B/mo
not purchased
(plan/kit 10.00 GB/mo)
No requirement
$ 0
AI points add-on
x 0
4.7M points
not purchased
(plan/kit 5.0M points)
Covered by plan/kit (margin ~6%)
$ 0
plan + add-ons · usage-based · no development cost
Your options for this project
In the table below, the 'monthly infrastructure' for the self-built / AI routes is derived from the AWS list prices shown below, sized against this project's actual usage. Figures cover infrastructure and operations only — AI usage is billed separately and excluded here, so they don't match the $99/mo all-in above.
Current usage sizing
AWS list pricing
2 × t4g.large × 730h
EC2 t4g.large → 98.11
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
0.15 GB-month
RDS gp3 storage → 0.02
0.00 GB-month
S3 Standard → 0
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $330.27 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL (INFRA + OPS, EXCL. AI USAGE)
Traditional outsourcing / build in-house
about $45,000 - $70,000
≈ $330
Based on the AWS estimate above
≈ $2,330
Infra $330 + ops ~$2,000
4-6 months
5 / 5
Vibe Coding
about $8,000 - $14,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
hours
5 / 5
AI full-stack generation
about $3,000 - $6,000
≈ $330
Based on the AWS estimate above
≈ $1,830
Infra $330 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
$0
N/A
Priced per seat, not by cloud infra
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$0
$99
All-in: egress / storage / auto-scaling; excludes AI usage
$99
hours
5 / 5
Servers, databases, traffic and storage are inherent infrastructure costs for this project — you pay them whether you outsource, use Cursor or Lovable, or build it yourself (self-built runs ≈ $330.27/mo at AWS list prices, often more), on top of the dev and ops staff you'd need to hire. Momen bundles all of it into $0/mo all-in and removes the need for an ops team.
The frontend can be generated with AI tools (Cursor, Lovable, etc.); the hard part is the backend — auth, database, scaling, data security and ops. Momen delivers a production-grade backend as a BaaS: keep the vibe-coding speed on the frontend, while the backend runs on proven infrastructure — reliable, with no self-hosting or ops.
What scale this estimate assumes, and how the numbers are derived
Cost depends heavily on usage volume. First see the key assumptions and business scenarios this estimate uses, then the full calculation derived from each scenario for every resource — all adjustable to your real situation
We assume the company-site and lead-capture category is the best fit because this is a single-studio website widget rather than a consumer platform or multi-tenant SaaS. The registered-account reference is conservatively anchored to the typical lead-capture scale, while anonymous visitors are modeled separately and the studio staff accounts are represented as an internal group. If the studio requires client accounts or has a documented staff count, this parameter can be adjusted accordingly.
We assume this is a standard linear-growth lead-generation widget because the studio expects a steady operating pattern of quote completions rather than a full pre-existing dataset or a documented recent launch burst. If the widget experiences an early promotional surge or has been operating at full volume from an earlier system, this parameter can be adjusted accordingly.
Quote Request Peak
Routine Widget Browsing
Quote Request Peak
30
times/month
0.96 req/s
Peak load
We assume quote submissions are distributed across a broad daily business window rather than synchronized by an external signal, so this scenario is separated as the main public conversion period and uses a five-minute representative interaction window. The monthly frequency reflects ordinary daily operation across the month. The purpose is limited to requesting a quote; service loading is an upstream step and quote submission is the unique core action. If a campaign creates a short synchronized rush, a separate promotional peak scenario can be added.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation derived from them. Click to expand each item.
How this app works
What exactly does this budget support? Broken down by business scenario, showing the pages, data tables, automation flows and AI assistant behind each one
A prospective client completes the embedded quote form, receives the generated estimate and message, and starts the deposit checkout.
A prospective client returns from Stripe and views or records the deposit outcome.
Studio staff review the service catalog and maintain service and pricing-rule records.
Studio staff review submitted leads and reconcile payment status when necessary.
page
data_table
ai_agent
action_flow
Quote Widget
Embedded visitor-facing form for selecting a service, scope, timeline, and project description and requesting a generated quote.
Payment Result
Visitor-facing result view for returning from Stripe checkout and showing the current deposit outcome.
Studio Services Page
Staff view for reviewing and maintaining active services and their pricing rules.
Lead Management Page
Staff view for reviewing quote submissions, generated messages, estimates, and deposit status.
What you might want to know about this project
The Q&A below is generated by AI based on this project's type, features and scale
What primarily drives resource usage for this widget?
Does the widget require a large multi-tenant data model?
Are Stripe and the language models modeled as custom external integrations?
What could change the estimate in a later resource step?
Copy to discuss with AI
Challenge & re-estimate
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The latest news, cases, and resources
