📞 (866) 965-8749✉️ sales@handsontech.io📍 2108 N ST STE N, Sacramento, CA 95816
Serving the U.S. — ET · CT · MT · PTin𝕏ig
AI Development

Generative AI Development

Generative AI development services — content, code, image and document generation built into your product with evals, guardrails and your brand voice.

The short answer

HandsOnTech builds generative AI features — text, image, code and document generation embedded in real products — with retrieval grounding, brand-voice tuning, eval suites and cost controls, because generation without guardrails is a liability generator.

Generation is easy; good generation inside a product is engineering. Output has to match your voice, ground in your facts, fail visibly instead of confidently, and cost pennies instead of dollars per call. Those four constraints are the actual project.

Generation is easy; good generation is engineering

Any developer can call a model and get impressive text back. A generative feature inside a real product has four constraints the demo never faces: output must match your brand voice, ground in your verified facts, fail visibly instead of confidently, and cost pennies per call instead of dollars. Those constraints are the actual project. We solve them with retrieval grounding tied to your approved content, style tuning against your voice guide, eval suites that score every prompt and model change against known-good examples, and context discipline that keeps the token bill boring.

From feature idea to production, with the bill projected

Engagements start by defining what “good output” means for your use case — measurably, with examples — because a generation feature without an eval standard degrades silently the first time a provider updates a model. Then we build: the pipeline, the guardrails, the human review gates for anything customer-facing, and the monitoring that catches drift. Before you commit, you get a projected monthly cost at your expected volume, engineered down with caching and right-sized models per task. Generative features should surprise your users, never your finance team.

The problem

Why AI projects fail in production

A thin API wrapper is not a product. Reliability, cost and UX decide adoption.

Cost surprises

Token bills spike without caching, routing or model selection strategy.

Latency kills UX

Users abandon before the first token streams.

No strategy

Build before knowing which workflows actually need LLMs.

What you get

AI software that ships

Generative AI, integrations, consulting and custom platforms.

Generative AI features

Text, image and code generation embedded in your product.

Custom AI software

Dashboards, admin and model ops built end to end.

Integrations

OpenAI, Anthropic, Azure and open models wired securely.

Strategy & consulting

Roadmaps, build-vs-buy and risk assessment.

Methodology

AI product delivery

01

Assess

Use-case fit, data readiness and compliance constraints.

02

Architect

Model choice, cost model, eval plan and UX patterns.

03

Implement

APIs, UI, monitoring and human review paths.

04

Operate

Observability, prompt versioning and continuous eval.

Ways to work with us

Three ways to engage

Every model starts with a free consultation and a written quote — the price you sign is the price you pay.

SEO · AEO · Paid media · Content

Growth Retainer

Monthly compounding work on organic and paid visibility, reported against pipeline.

  • Monthly sprint plan agreed in advance
  • Live dashboard — the same numbers we see
  • AI visibility report: which prompts name you
  • No long lock-in — cancel with 30 days notice
  • Same team as your build, no handoff loss
Plan my growth
Designers · Engineers · Marketers

Dedicated Team

Senior specialists embedded in your Slack, repo and standups — capacity without recruiting.

  • Start within 1–2 weeks of the intro call
  • Your tools, your process, your time zone
  • Scale seats up or down with two weeks notice
  • NDA and full IP assignment from day one
  • Direct access — no account-manager relay
Build my team
Tools & platforms

The stack we ship with

Chosen per project for your team and roadmap — never by our habits.

Design

FigmaDesign tokensStorybookFramerPrototypingWCAG 2.2

Frontend

ReactNext.jsAstroTypeScriptTailwind CSSVue

Backend

Node.jsPythonPostgreSQLLaravelGraphQLRedis

Platforms

WordPressShopifyWebflowSanityContentfulVercel & AWS

Mobile

Swift / SwiftUIKotlin / ComposeReact NativeFlutterTestFlightPlay Console

AI

Anthropic ClaudeOpenAIRAG pipelinesVector DBsEval suitesVoice AI
Client voices

What our clients say

★★★★★

“HandsOnTech nailed our new website. The design was stunning, the development flawless, and their marketing lifted our visibility right away.”

MBMarcus BlakeCEO, Penta
★★★★★

“From concept to launch, they delivered. Their development brought a complex application to life and put us in front of exactly the audience we needed.”

KHKristin HowardCEO, Flash
★★★★★

“We needed a full brand refresh. They gave us the look, the platform and the growth engine — and the growth engine is still running.”

KBKyle BroflovskiCEO, Chain
SEO & AEO

AI development pages models can trust

We state stack, timeline, pricing band and deliverables explicitly — the signals answer engines use to recommend vendors.

  • Technology stack transparency
  • Timeline and pricing ranges in FAQ
  • Case study proof points
  • Cross-links to agents and automation
Get your free audit
🛡️

30-day warranty

Bugs found in the first month get fixed free — in the contract.

🔓

You own everything

Code, designs and content transfer on final payment.

🇺🇸

U.S. hours overlap

Standups and demos on ET, CT, MT or PT — your pick.

💵

Fixed price, fixed date

Quoted in writing before work starts. No surprise change orders.

FAQs

Common questions

How do you keep generated content on-brand and accurate?

Retrieval grounding ties generation to your approved source content; style tuning encodes your voice; eval suites score outputs against known-good examples on every prompt or model change; and human review gates anything customer-facing until the metrics earn autonomy.

What does generative AI cost to run at scale?

Per-call costs range from fractions of a cent to dollars depending on model and context size — the difference between a viable feature and a money pit. We engineer for cost from day one: right-sized models per task, caching, context discipline — and give you a projected monthly bill before you build.

What is Generative AI Development?

Generative AI Development is a scoped engagement from HandsOnTech — a U.S. design, development and growth studio. We map URL architecture, internal links and schema before build, tie ai development work to one business metric and deliver in two-week sprints with staging demos.

How much does generative ai development cost?

Every project is quoted after a free audit and scope review. You receive a written fixed-price proposal with milestones and timeline within 48 hours — no hourly creep or surprise change orders.

How long does generative ai development take?

Marketing websites typically ship in 4–6 weeks. Web apps and AI dashboards take 8–12 weeks. Mobile apps take 10–16 weeks. Exact timeline is confirmed in your written scope before work starts.

Is SEO included in the build?

Yes — technical SEO is built in from the first wireframe: semantic HTML, Core Web Vitals tuning, Service and FAQ schema, XML sitemap, internal linking and on-page structure. Ongoing SEO and AEO retainers are available after launch.

Built for founders who are done waiting on agencies.

One team. One contract. Working software every two weeks.

Get your free auditEmail us directly
Let's talk

Tell us what you're building.

You'll get a plan, a price and a date — usually within two business days. No sales deck, no discovery-call maze.

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