Contract · Q3 Renewal · v3
Lumen · 2 risks flagged
Auto-renew clause conflicts with policy §4.2
AI tool
Document-review copilot
Internal copilot that reads contracts and flags risks for a legal ops team.
NDA. Summary on request.
Product engineering studio
Working software in weeks, not quarters.
A small senior team shipping MVPs, POCs, internal tools, and dashboards. Fast cadence, clean handoff, code you own. We use AI where it helps. Never where it doesn’t.
Shipping MVPs in 4 weeks · POCs in 1
dashboard.sweetlemon.ai
Active runs
4
+1
Avg. latency
842ms
-11%
Spend
$180
+4%
Throughput · last 24h+18%
Healthy v1.4.2
What we ship
- MVPs
- POCs
- Internal tools
- Dashboards
- Workflow automations
- Integrations
The gap
Most AI ideas never turn into a real product.
The distance between a concept deck and a usable app is where teams get stuck. We close it. Fast, cleanly, and with code you actually want to keep.
✕
Too many tools, no real product
Specs, mockups, and half-built prototypes. None of it compiles into something a customer can use.
✕
Prototypes that look unfinished
Good enough for a pitch, not for a paying user. The polish gap is where most AI projects die.
✕
Timelines that slip for months
Scope creep, vague requirements, and handoff friction turn a 6-week build into a 6-month one.
✕
Unclear scope and bad handoff
Agencies disappear on launch day. You inherit code you can't read and a product you can't extend.
What we build
Six things we do well, end to end.
Every build ships as real, shippable software. Designed, engineered, and handed off clean.
MVPs
End-to-end builds for founders taking a product to early users. Auth, data, core workflows, deployment. Pitch-ready in 4 weeks.
AuthBillingCore loop
POCs
Quick proofs that answer “does this work?” before you invest real engineering time. A working slice in your hands in about a week.
PrototypeValidationTech spike
Internal tools
Admin panels and dashboards that replace five spreadsheets and a Slack thread. Built for the people who use them every day.
Ops consolesReview toolsAdmin panels
Dashboards
Analytics, reporting, and monitoring surfaces. Real-time when it matters, simple when it doesn't.
MetricsReportsMonitoring
Workflow automations
Background pipelines that move data, make decisions, and notify humans. We use AI where it's the right tool; otherwise, we don't.
QueuesScheduled jobsLLM where it fits
Integrations
Clean glue between your stack and the rest of the world. Stripe, HubSpot, custom APIs, internal services.
StripeHubSpotCustom APIs
Selected work
Work we’ve shipped.
Some projects are under NDA; others are in the open. Full case studies land here as clients go public.
Public showcase
The Lemon Lab
A growing set of free tools: markdown editors, converters, typing trainers, cheatsheets. Built fast, in the open. The proving ground for our process.
Visit lab
New tools ship weekly.
More case studies land here as they clear NDA.
How it works
A short, deliberate process.
No open-ended discovery, no agency theater. Five stages, designed to get you to a real, working product with minimal friction.
- 01
Discovery
Week 0A focused kickoff to align on the real problem, the user, and what “done” looks like.
- 02
Scope & plan
Week 1We translate the idea into a shippable scope, milestones, and a clear architecture.
- 03
Design & build
Weeks 2 to NDesign and engineering move together, accelerated by our engineering harness. You see working software the first week, not mockups.
- 04
Iterate fast
OngoingWeekly builds in your hands. We tighten, cut, and polish against real feedback.
- 05
Launch & handoff
Final weekProduction deploy, docs, and a clean codebase your team can actually own.
Our harness
The engine behind the work.
We built our own AI engineering harness, a pipeline that drives Claude Code through structured quality gates: spec, context, build, reconcile, tests, QA. It’s how we ship this fast without shipping broken. Published as @sweetlemonai/harness-ai. Open source, MIT licensed.
Pipelinespec → qa
- 01Spec
- 02Context
- 03Build
- 04Reconcile
- 05Tests
- 06QA
Every stage is a quality gate. Work can’t pass without the previous one clearing.
Pricing
Pricing that matches the shape of the work.
Fixed scope for discrete builds, retainer for ongoing partnerships. No seats, no hidden charges.
Easiest way to start
Validation sprint
1 week$4k
Prove a concept fast, with a working slice real users can touch.
- Focused scope workshop
- Interactive prototype
- Architecture recommendation
- Clear build roadmap
Most common
MVP build
4 weeks$10k
An end-to-end MVP, pitch-ready and usable from day one.
- Design + engineering together
- Auth, data, core workflows
- Deployment + basic analytics
- Weekly ship cadence
- Clean handoff + docs
Growth build
6 weeks$20k
A deeper build for teams past the MVP and ready to scale.
- Expanded product surface
- AI features + integrations
- Performance + polish
- Weekly ship cadence
- Clean handoff + docs
Larger engagement, retainer, or a team augmentation? Talk to us.
FAQ
Questions, answered.
If yours isn’t here, the intake form below is the fastest way to ask.
How long does a typical build take?
Validation sprints run 1 to 2 weeks. MVPs land in 4 to 8 weeks depending on scope. We timebox aggressively and ship weekly.
What makes you different from other studios?
Two things. First, we built our own engineering harness, a pipeline that drives our tooling through structured quality gates so what ships is production-ready, not prototype-quality. Second, we don’t lock you in: you own the code, we hand it off clean, and you can keep building without us.
Do we own the code?
Yes. You get the full repository, infrastructure, and credentials. We don’t lock you into any platform or keep anything behind a login only we control.
Can you build AI features specifically?
When it fits the problem, yes: agents, retrieval, copilots, classifiers, LLM-powered workflows. We pick models pragmatically. Plenty of our builds have no AI at all; we use the right tool for the job.
Do you handle design?
Yes. Design and engineering work together on every project. You don’t get a deck from one team and a codebase from another.
Mobile or just web?
Mostly web: responsive web apps, admin tools, and portals. If a project genuinely needs native mobile, we’ll scope it honestly or recommend a partner.
What happens after launch?
We hand off cleanly: code, docs, and a walkthrough. Teams that want ongoing help move into a retainer; teams that want to take it in-house, can.
Start a project
Tell us about your idea.
A short guided intake, about five minutes. Start with the idea, no email needed up front. We’ll reply with scope, cost, and a realistic timeline within two business days.
Prefer email? hello@sweetlemon.ai