awsmlabs.
Let's Talk
AI Product Design/Build/Support Solutioncrft

The fastest way to design,build + launch yourAI-native product

CRFT ("craft") is the AWSM LABS build model that turns one high-value workflow into an owned, AI-native product — validated in days, launched in weeks, and compounding from there.

See how it works
The Opportunity

The AI-native build gap is aspeed, scope, and ownership problem.

Teams know where AI could remove cognitive work. What they lack is a precise build model that turns that workflow into an owned product in weeks, not quarters.

0days to validate

Prototype the core AI workflow before committing to a full build.

0weeks to launch

Turn a qualified workflow into a production-quality PWA with handoff + roadmap.

0%owned at handoff

Source code, credentials, docs, and a 90-day roadmap transfer to you.

The Problem

Most AI product builds failfor the same four reasons.

The problem is rarely the model. It's weak qualification, vague scope, bolted-on AI, and no ownership path after launch.

Failure 01

No AI-native qualification

Teams build products where AI is ornamental. Remove the AI and the product still works.

Failure 02

Scope creep

Vague requirements turn fast builds into open-ended projects. Timeline and budget lose their control system.

Failure 03

AI as a feature

AI gets bolted onto a conventional app instead of being the product. The AI layer never becomes the value engine.

Failure 04

No post-launch roadmap

Launch happens, but user learning never becomes a build queue. The product stops improving when feedback begins.

Pain → Relief

The usual build pain,engineered out.

Every failure mode has a control point in the CRFT process. Here's what changes when the workflow — not the feature — is the product.

✕
AI bolted on as a featureRemove the AI and the product still works — so it never becomes the value.
The AI workflow is the product — the value engine, not an add-on.We qualify AI-native fit before scope, so the model does the real work.
✕
Scope creep blows up timeline and budgetVague requirements turn a fast build into an open-ended project.
A Scope Document locks deliverables, exclusions, milestones, and payment triggers before the build.Timeline and budget get a control system, not a hope.
✕
Vibe-coded and not ready for productionWhat dazzles in a demo breaks on real inputs, edge cases, and the first real user.
Tier 1 validates the real workflow with a working prototype before you commit.You reach a build / no-build decision with eyes open — not a vibes-based bet.
✕
You get a demo, not an asset you can ownThe work lives on someone else's stack — you can't run or extend it.
Full transfer at handoff — source code, credentials, docs, and a 90-day roadmap.You own the compounding asset outright.
✕
The product stops improving after launchUser learning never becomes a prioritized build queue.
Launch learning becomes a backlog that compounds every cycle.Tier 3 velocity keeps the loop improving after go-live.
The Alternatives

The other ways to build —and what each one misses.

Teams usually pick one of three paths. Each misses the combination CRFT is built on: qualification, scope discipline, speed, and ownership.

Traditional dev agency

Can build software, but starts from features, tickets, and screens — not the AI workflow that creates the value.

Misses AI-native qualification and workflow-first architecture.

SaaS point solution

May solve part of the workflow, but locks you into a vendor roadmap, a pre-set data model, and a near-fit process.

Misses ownership, specificity, and compounding learning.

Build it yourself

Your team knows the context, but AI product work competes with BAU, tech debt, and long delivery queues.

Misses speed, dedicated execution, and scope control.

CRFT

A scoped, owned, AI-native product in weeks.

  • AI-native qualification
  • Scope-controlled build
  • Weeks, not quarters
  • You own the code
How It Works

One workflow validated.Then built. Then improved.

CRFT starts with the smallest valuable AI-native loop, proves the workflow, launches the owned product, and turns the 90-day roadmap into the next sprint queue.

QualifyScopeBuildCompound
Start your project
1

Validate

Prototype + prompt kit

Build a working prototype of the core AI workflow before committing to the full production sprint.

2

Build

Product + AI layer

Turn the qualified workflow into a production-quality AI-native PWA through scoped build sprints.

3

Launch

Full ownership transfer

Deploy, complete QA, run the handoff call, and transfer source code, credentials, and documentation.

4

Compound

Roadmap-driven sprints

Convert launch learning into a 90-day roadmap and execute the backlog through ongoing velocity.

WHO CRFT IS FOR

Two doors in.One owned product out.

CRFT serves two profiles with the same build discipline — and the same ownership outcome.

Door 01

The Entrepreneurial

Executives with an AI product idea, financial runway, and no technical co-founder or team.

Needs
Product architecture, AI workflow validation, production build, and launch-ready ownership.

Path
Quick Scope Call → Validation or Production Build → Handoff + roadmap.

Door 02

The Executive/Dept Lead

An operator with budget authority, a costly workflow problem, and no practical path through IT or off-the-shelf software.

Needs
An internal AI tool scoped precisely to the team's workflow, built in weeks and owned at delivery.

Path
Quick Scope Call → ROI check → Scope Document → Production Build.

Same control system. Same 40/40/20 milestones. Same ownership at handoff.

Start your project
The CRFT Equation
Product & AI Strategyvalue logic
+
Agentic Build Enginebuild velocity
+
Scope Disciplinecontrol system
=An owned, compounding product.
By the numbers

Speed, ownership, and ROI — built into the model.

Every number below is a control point in the build. Before you look at pricing, here's what you're actually buying.

0days

Validation Sprint

Prototype your core AI workflow before committing to a full build.

0weeks

Production Build

From validated workflow to launched, owned product. Complexity determines the range.

0%yours

Owned at handoff

Source code, credentials, docs, and a 90-day roadmap transfer to you on day one.

0×ROI

The guarantee

If your build doesn't generate 3× the fee in measurable value within 90 days, we keep building.

$0Kequivalent

Market rate saved

Traditional agencies charge $80K–$400K for equivalent production AI builds.

0milestones

How you pay

Scoped delivery in three milestone payments. No open-ended retainers. No surprise invoices.

The tier you choose maps directly to the numbers above. Scroll down to see what's in each build.

Transparent, Flexible Pricing

Modular pricing.
Scoped delivery.
Owned output.

Four tiers mapped to where you are. The build is the core. The knowledge products and monitoring layer stacked around it are why clients don't shop elsewhere.

3x ROI GuaranteeIf your build doesn't generate at least 3x the build fee in measurable workflow value within 90 days of launch, we keep working until it does.

We accept 3 new build clients per month.
2 spots currently open.

Tier 1

Validation Sprint

$7,500–$15,000Complexity-based · Credit toward any build tier · 7–10 days

The right decision before a $50K–$150K commitment.

A working prototype of your core AI workflow — built, tested, and presented with a clear build-or-no-build recommendation before you commit.

  • Working prototype of smallest valuable loop
  • CRFT Prompt Kit + response logic
  • AI-native fit assessment
  • The Adoption Scorecard
  • Open Loop Audit — 3 additional AI opportunities mapped
  • Fee credited toward any build tier within 60 days
$23,250in included value

Core Deliverables

  • Working AI workflow prototype
    $6,000
  • AI-native fit assessment
    $2,000
  • Scoped production build recommendation
    $1,500
Knowledge Products
  • The CRFT Prompt KitEngineered prompts, input/output logic, guardrails. Yours permanently.
    $2,500
  • The Adoption Scorecard30/60/90 day usage benchmarks, leading indicators of adoption failure.
    $750
Bonuses
  • Open Loop AuditWe map 3 additional workflows in your stack where AI could compound value.
    $3,000
  • Fee credited in full toward any production build tierFull credit applied within 60 days.
    $7,500–$15,000
  • Total included value$23,250–$30,750
  • Your investment$7,500–$15,000

KNTRL Basic activates the moment your production build goes live.

Tier 2

Standard

$15,000–$25,0004–5 weeks · 1 workflow · 1–2 integrations · 1–2 user roles

One workflow. Fully yours. Launched in weeks.

  • 1 AI-native workflow, 1–2 integrations
  • Full QA + deployment + source code ownership
  • The CRFT Prompt Kit + Workflow SOP + Launch Playbook
  • The Adoption Scorecard
  • The Product Roadmap Canvas
  • KNTRL Basic (12 months)
$96,350–$136,350in included value

Core Deliverables

  • Production AI-native Progressive Web Application (PWA) (1 workflow, 1–2 integrations)Market rate
    $80,000–$120,000
  • Full QA + deployment
    $3,500
  • Source code + credentials + IP transfer
    Yours permanently
Knowledge Products
  • The CRFT Prompt Kit
    $2,500
  • The Workflow SOPStep-by-step operating doc so your team runs the system independently
    $1,500
  • The Launch PlaybookInternal rollout strategy, team buy-in framework, first 30 days adoption plan
    $2,000
  • The Adoption Scorecard
    $750
Bonuses
  • The Product Roadmap Canvas90-min working session with a senior AWSM LABS team member. Launch learning → prioritized backlog. Next 90 days of product decisions. Recorded + documented.
    $2,500
  • KNTRL Basic (12 months)Build status, uptime, token spend, adoption metrics, feature queue
    $3,600
  • Traditional agency equivalent$80,000–$120,000
  • Total included value$96,350–$136,350
  • Your investment$15,000–$25,000

Ongoing dev available · from $3,000/mo

Most chosenTier 3

Moderate

$25,000–$55,0006–8 weeks · 2–3 workflows · real-time features · 3–4 integrations

Multiple loops closed. One system compounding.

  • 2–3 AI workflows with real-time features
  • 3–4 third-party integrations
  • Full QA + deployment + source code ownership
  • The CRFT Prompt Kit + Workflow SOP + Launch Playbook
  • The Adoption Scorecard
  • The Product Roadmap Canvas + GTM Playbook
  • KNTRL Basic (12 months)
$171,850–$271,850in included value

Core Deliverables

  • Production AI-native Progressive Web Application (PWA) (2–3 workflows, real-time, 3–4 integrations)Market rate
    $150,000–$250,000
  • Full QA + deployment
    $5,000
  • Source code + credentials + IP transfer
    Yours permanently
Knowledge Products
  • The CRFT Prompt Kit (multi-workflow)
    $3,500
  • The Workflow SOP
    $2,000
  • The Launch Playbook
    $2,000
  • The Adoption Scorecard
    $750
Bonuses
  • The Product Roadmap Canvas90-min session with a senior AWSM LABS team member
    $2,500
  • The GTM PlaybookHow to position and present the AI product internally and externally. Stakeholder narrative, success metrics, rollout sequencing.
    $2,500
  • KNTRL Basic (12 months)
    $3,600
  • Traditional agency equivalent$150,000–$250,000
  • Total included value$171,850–$271,850
  • Your investment$25,000–$55,000

Ongoing dev available · from $5,000/mo

Tier 4

Complex

$55,000–$85,000+8–10 weeks · multi-agent · enterprise integrations · 5+ user flows

Enterprise-grade AI architecture. Owned, not rented.

  • Multi-agent orchestration, 5+ user flows
  • Enterprise integrations (5+)
  • Advanced prompt architecture + memory
  • Full QA + load testing + source code ownership
  • The CRFT Prompt Kit + Workflow SOP + Launch Playbook + Vertical Prompt Pack
  • The Product Roadmap Canvas + GTM Playbook + SMRTN OS Blueprint
  • KNTRL Basic (12 months) + 60-day post-launch support
$289,350–$439,350in included value

Core Deliverables

  • Multi-agent AI system (5+ flows, enterprise integrations, advanced memory)Market rate
    $250,000–$400,000
  • Full QA + load testing
    $8,000
  • Source code + credentials + IP transfer
    Yours permanently
Knowledge Products
  • The CRFT Prompt Kit (multi-agent)
    $4,500
  • The Workflow SOP (enterprise grade)
    $2,500
  • The Launch Playbook
    $2,000
  • The Adoption Scorecard
    $750
  • The Vertical Prompt Pack20+ pre-built, tested prompts for your workflow category
    $1,500
Bonuses
  • The Product Roadmap Canvas90-min session with a senior AWSM LABS team member
    $2,500
  • The GTM Playbook
    $2,500
  • KNTRL Basic (12 months)
    $3,600
  • The SMRTN OS Blueprint90-min session with a senior AWSM LABS team member mapping how this workflow connects to a full AI-native operating system. Recorded + documented.
    $5,000
  • 60-day post-launch support window
    $6,000
  • Traditional agency equivalent$250,000–$400,000
  • Total included value$289,350–$439,350
  • Your investment$55,000–$85,000+

Ongoing dev available · from $8,000/mo

Not sure which tier fits?

The build estimator below will route you. Or book a 15-minute Quick Scope Call — we'll test your workflow for AI-native fit, identify the smallest valuable loop, and recommend the right path.

Use the estimator ↓Book a Quick Scope Call
Estimate Your Build

Configure your build.See the investment.

Answer a few quick questions to see the tier, timeline, and investment range — then book a 15-minute Quick Scope Call to lock the scope.

Where are you starting?
What are you building?
Integrations needed?
Advanced needs?
AI models you have paid access to
How soon do you need it?

Pick where you're starting + what you're building — your estimate drops in below.

Your estimate

Tell Us About Your AI Build

Tier, timeline, and investment land here the moment you choose your build.

FAQ

Questions,answered.

Production-grade and modern by default — typically a Next.js / TypeScript PWA, a Postgres or Supabase backend, the right model APIs (OpenAI, Anthropic, and others) for the workflow, and Vercel hosting. We pick the stack to fit the build, not the other way around, and everything we ship is standard, documented, and yours to extend.

Next Step

Start with one workflow.We'll show you the product from there.

You don't need a finished app spec — you need one high-value workflow where AI can become the product. Bring it to a Quick Scope Call: we'll test whether it's AI-native, find the smallest valuable loop, and recommend the path — validation, production build, or no-build.

Give us your AI Project Overview (~30 secs)

Fields marked * are required.

AI models you have paid access to

Or grab a time now

Book your 15-minute Quick Scope Call — bring one high-value workflow.