4 slots Q2/26

AI PROTOTYPING FOR STARTUPS · VIENNA · DACH

AI prototyping for startups
from idea to working MVP — in weeks, not months.

We accompany startups, founders and corporate innovators from initial conception through working MVP to production-ready build. With AI-augmented engineering practice (Cursor, Claude Code, Lovable, v0), a modern tech stack (Next.js, Postgres, Fly.io / Hetzner) and 15+ years of our own operator experience building, scaling and selling digital products.

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What is AI prototyping?

AI prototyping is a development mode in which modern AI coding tools (Cursor, Claude Code, Lovable, v0, Bolt) are combined with classical software engineering to deliver working product prototypes and MVPs in weeks instead of months — with full code ownership, a clear tech stack and a clean transition into productive operation.

For startups this means: validate faster, pitch faster, serve first customers faster — without the technical debt mountain that badly orchestrated vibe-coding sessions leave behind.

Why startups build with us.

We are neither an "idea-to-slide-deck" studio nor a pure vibe-coding lab. We deliver working products that still run after the pitch.

01

Operator practice, not consulting theory

For over 15 years we have built digital products ourselves — our own shops, brands, SaaS tools, marketplaces. When we discuss tech stack, scaling sequence or hosting architecture with you, it is from engagements where we have walked the same step ourselves multiple times. That shortens discussions which take weeks in purely theoretical consulting.

02

AI coding tooling we use productively

Cursor, Claude Code, Lovable, v0, Bolt are not toys for us but part of the daily build stack. We know where a Lovable prototype makes sense, when Cursor plus a senior manual hand is faster together, and when a classical engineering setup with tests, CI/CD and clean folder structure is needed to make the prototype production-ready.

03

Fixed-price model instead of open-ended effort

Discovery, MVP sprints and build packages run as fixed price after a clearly scoped definition — binding sum, no emergency surcharges at sprint-end. Accompanying retainers for the post-launch phase start at € 1,700/month net. Founders know on day 1 what discovery and MVP will cost — and on day 28 whether the prototype runs.

04

End-to-end: idea, code, hosting, operations

We deliver not just code that sits in a repo after the sprint, but the whole stack around it: data model, API, authentication, hosting (EU: Hetzner, Fly.io), monitoring, domain & DNS, transactional email (Resend), payment integration (Stripe). Founders without a CTO get a running product, not a handover bundle with "and then you still need …".

What AI prototyping at clickpuls covers in detail.

AI coding tooling — what we actually use

We combine several tools because none of them is equally good for every step:

  • Cursor as the primary IDE for senior engineering with AI pair programming. Strong in larger codebases, refactorings, test generation
  • Claude Code for agentic coding sessions in which whole feature branches, migration paths or test suites are processed autonomously
  • Lovable and v0 for UI-first prototyping — when discovery shows quick visual validation against stakeholders or investors is needed
  • Bolt for rapid stack bootstraps when frontend, backend and database should be set up in one session
  • Classical engineering (TypeScript, manual architecture, code review, Git branching discipline) as the foundation — AI tools accelerate but do not replace senior judgement on architecture and data model

The craft lies in knowing when which tool is the right one — and when a seemingly fast Lovable prototype makes the later production build more expensive because it starts with a data structure that does not scale.

Discovery & validation — before anyone writes code

Every engagement starts with a compact discovery phase as fixed price. The goal is to sharpen the idea from "pitch slide" to a technically and economically viable concept — before the first sprint budget is opened.

What the discovery delivers:

  • Problem and user sharpening — Who exactly is the target group? Which problem do we solve? Which substitutes does the target group have today?
  • Functional scope for MVP vs. vision — what must the MVP do, what consciously not (and why)
  • Data model and user flows as architectural foundation
  • Tech stack recommendation with reasoning (why Next.js, why Postgres, why Fly.io instead of Hetzner — or the other way around)
  • Hosting, authentication and payment architecture sketch
  • Risk and effort overview for sprint packages and accompanying retainers
  • Fixed-price offer for the following build phase

For founders who have sketched a lot themselves, discovery is often shorter and cheaper. For corporate innovators with multiple stakeholders and approval-required budgets, we take more time for interviews, stakeholder workshops and written recommendation documents.

MVP sprint mechanics — how we deliver in weeks

After discovery we split the build into sprints of 1, 2 or 4 weeks, each leading to a demo-ready stage — not "code that will one day work".

Typical sprint dramaturgy:

  • Validation sprint (1 week) — UI-first prototype (often on Lovable / v0), clickable, with sample data, without real persistence. Goal: collect stakeholder or user feedback before we build the real data structure
  • MVP sprint (4 weeks) — working MVP with real data model, auth, core user flows, simple admin panel, deployed to a staging domain
  • Build sprint(s) (4–12 weeks) — production-ready state: tests, monitoring, backups, payment integration, custom domain, transactional email, GDPR-compliant hosting

What is concretely handed over at sprint end:

  • Deployment to staging and where applicable production with accesses for founder / CTO
  • Git repository in your account with documented branch and deployment strategy
  • Architecture diagram and data-model schema as Markdown / PDF
  • Test script with the most important user flows
  • 30–45-minute demo and a written sprint summary

If a sprint takes longer than planned, we carry the extra cost — fixed price is fixed price.

Tech-stack default — what we recommend when nothing speaks against it

We have a clear default stack because 80 % of startup use cases reach the goal fastest with it — and because we master the stack in our sleep, which doubles development speed.

Default stack:

  • Frontend & API: Next.js (App Router) + TypeScript — server components, streaming, built-in image optimizer, excellent SEO
  • Database: PostgreSQL (managed via Neon, Supabase or self-hosted on Hetzner)
  • ORM / schema: Drizzle or Prisma — depending on data-model complexity
  • Authentication: NextAuth / Auth.js (OAuth, email magic link), Clerk or Supabase Auth for multi-tenant setups
  • Hosting: Fly.io for full container control and EU regions; Hetzner for cost-efficient self-hosted setups; Raidboxes for WordPress-based marketing sites — no Wix, no Webflow for production apps, no US-only hosting for GDPR-sensitive data
  • Transactional email: Resend
  • Payments: Stripe
  • Monitoring: Sentry for error tracking, Plausible / GA4 for web analytics, uptime monitoring via UptimeRobot

When we deviate from the default:

  • Mobile-first use case → Expo / React Native instead of Next.js
  • Heavy computer-vision or ML → Python backend + FastAPI as API layer, Next.js stays as frontend
  • B2B SaaS with enterprise SSO requirement from day 1 → early switch to Clerk / WorkOS
  • Marketplace with complex search/match logic → Postgres + Algolia / Meilisearch or ElasticSearch

We never recommend a stack swap for its own sake. If you are already productive with Vue, Astro or Laravel and have a senior team, we build inside that instead of flipping you to Next.js.

Hosting, GDPR and EU data residency

For DACH startups, EU data residency is not a nice-to-have but often a requirement — whether due to GDPR/FADP, B2B customers with compliance requirements or later funding applications.

Our default hosting options:

  • Fly.io (region Frankfurt FRA) — full container stack, easy multi-region deployment, built-in Postgres and volume management. Ideal for Next.js apps that need more than static hosting
  • Hetzner Cloud (region Falkenstein/Nuremberg) — cost-efficient VPS and managed Postgres setups for self-hosted architectures
  • Cloudflare Pages — when purely static marketing sites without sensitive data are built; with awareness that edge functions may route via US
  • Raidboxes — for WordPress-based marketing sites alongside the app stack

What we don’t use: Wix, Webflow or similar no-code platforms for productive web apps with data persistence — they scale neither operationally nor under GDPR requirements.

What we deliver technically / strategically on the data-protection question:

  • Hosting architecture in EU regions
  • Data-flow classification for data-processing agreements
  • Tracking setup with Consent Mode v2 (default GA4 / GTM, alternatively Plausible)
  • Sub-processor overview for tools like Stripe, Resend, Sentry, OpenAI / Anthropic APIs

What we don’t provide: legally binding GDPR or FADP assessment, privacy policies, cookie-banner texts, DPIAs, communication with authorities. That belongs in professionally appropriate hands — we actively recommend the parallel involvement of your lawyers or data-protection officers.

Transition into running operations

An MVP that belongs to nobody after the sprint dies quickly. So we plan the handover from the start.

Three typical handover scenarios:

  • In-house team takes over — we deliver repository, architecture documentation, onboarding walkthrough for the first in-house engineer and remain available for 4–8 weeks for targeted questions via Slack Connect
  • Accompanying retainer from € 1,700/month net — we stay on board for bugfixes, smaller feature extensions, hosting care and performance optimisation. A clearly defined monthly hour quota in one of several package sizes, response time 24 h on business days as default. Quarterly renewable, cancellable any time
  • Single sprints on demand — when the MVP runs and only needs development in larger bursts (e.g. Q1: payment integration, Q3: B2B extension), we work in planned fixed-price sprints without an ongoing retainer

What belongs in the transition to the next stage:

  • Clean README with setup, test and deploy instructions
  • Architecture diagram and data-model documentation
  • Backup and restore plan, documented secrets management
  • Monitoring dashboards and alert thresholds
  • List of running sub-processors (Stripe, Resend, Sentry, etc.) with renewal/contract dates

Important: You retain 100 % of the code, data and hosting accounts at every point in time. We work in your repos, with your cloud accounts — no lock-in via agency-owned infrastructure.

WHEN DO YOU NEED THIS?

When is AI prototyping at clickpuls the right path?

Four constellations where we deliver particular value — and one where we openly wave off.

01 / TRIGGER

Pre-seed: validate idea, convince investors

You have an idea, maybe a pitch deck and a few user interviews. What you lack is a clickable prototype that makes the use case credible — to first pilot customers, to incubators like aws Founders Circle, INiTS or INNOpulse, and to angel investors. In 1–2 weeks we build a UI-first validation prototype with which you can win the next pitch round or stop the idea before over-investment.

02 / TRIGGER

Seed: first working MVP for real customers

You have validated, maybe closed a pre-seed or seed round. Now first paying customers must see real product. In 4–8 weeks we deliver an MVP with real data model, auth, core user flows, Stripe integration, EU hosting and monitoring — production-ready enough for the first 50–500 users, clean enough to be carried forward by an in-house CTO or an accompanying retainer afterwards.

03 / TRIGGER

Corporate innovation: internal tool or spinoff prototype

You are out of an established company with a new product or tool idea — as an innovation initiative, planned spinoff or internal tool meant to change the status quo. IT departments are overloaded and the classic procurement path would take months. We build the prototype next to your corporate IT — GDPR-compliant, with clear interface documentation for later integration and with all necessary compliance artifacts for internal reviews.

04 / TRIGGER

Stagnating prototype: take-over and stabilisation

You have a prototype born from freelancers, a previous agency or a wild Lovable/Bolt session and it cannot be cleanly developed further. Typical symptoms: undocumented architecture, missing tests, auth bugs, hosting in a badly chosen region, no clear deploy path. We take over, do a technical audit (fixed price), prioritise stabilisation vs. further-development steps and bring the state into maintainable shape — or openly recommend a clean rebuild when the salvage effort would be higher.

Sounds like your project?

30–45 minutes for a first call — free and non-binding. We assess your use-case, estimate effort and risks, and give an honest recommendation — even if it means this is better built elsewhere.

AI prototyping at clickpuls vs. pure no-code solution.

No-code platforms like Bubble, Glide or pure Lovable sessions have their place. But for startups that want to scale seriously, there are clear limits. Here the honest comparison.

Kriterium / Criterion
No-code-only / DIY prototype
AI prototyping at clickpuls
Time-to-validation prototype
Days — very fast
1 week (validation sprint)
Time-to-MVP for real customers
Weeks — but often with data, auth and performance breaks
4–8 weeks, MVP runs cleanly for 50–500 users
Code ownership
Lock-in into platform; full export rarely possible
100 % code in your Git, in your cloud accounts
Scaling path beyond 1,000+ users
Rebuild on real stack usually unavoidable
Further scalable; only hosting needs scaling up
GDPR / FADP compliance
Depends on platform host; often US routing
EU hosting (Hetzner, Fly.io FRA), sub-processor doc, Consent Mode v2
Cost discovery + MVP sprint
Low licence cost + lots of own time
Fixed-price discovery from € 1,500 net, MVP sprint as fixed price
Transition into running operations
You maintain alone — or commission an expensive rebuild later
Accompanying retainer from € 1,700/month net or sprint on demand
OUR PROCESS

How an AI prototyping engagement at clickpuls runs.

Four phases, clearly delineated, each with defined output and fixed price. Between phases you can exit at any time — no lock-in.

01

First call — free, 30–45 min.

You describe idea, goal and constraints (team, budget order, time pressure). We listen, ask 5–10 sharp questions and at the end of the call honestly say whether we are the right partner — and if not, whom we would refer you to. Outcome: yes / no to the discovery phase.

02

Discovery — fixed price from € 1,500 net

Compact phase (typically 1–3 weeks). We deliver problem sharpening, functional scope, data-model sketch, tech-stack recommendation with reasoning, hosting architecture, risk overview — and a fixed-price offer for the following sprint packages. Result is an 8–20-page recommendation document plus a 60–90-minute presentation.

03

Build sprints — validation, MVP, production

Depending on discovery recommendation, 1, 2 or multiple sprints of 1–4 weeks. Each sprint ends with demo, sprint documentation and a verifiable state. After each sprint you decide whether the next one starts — or whether the current level is enough for pitch / pilot phase.

04

Transition — in-house, retainer or sprint-on-demand

Three models: full handover to your in-house team (with 4–8 weeks Slack Connect support), accompanying retainer from € 1,700/month net for ongoing care and smaller extensions, or planned fixed-price sprints for larger bursts (e.g. Q3 extension). You choose, we follow.

KEY FIGURES

Key figures of our AI prototyping engagements.

Real figures from engagements of recent years — no wishful metrics, no hype promises.

Discovery fixed price
from € 1,500 net

Compact discovery phase with problem sharpening, data-model sketch, tech-stack recommendation and a written offer for the sprint phase. Effort depends on complexity and stakeholder count. Concrete offer after a free first call.

Time-to-MVP
4–8 weeks

Typical corridor from end of discovery to working MVP with real data model, auth, core user flows, EU hosting and monitoring. More complex use cases (marketplace, B2B multi-tenant) need correspondingly more sprint packages.

Accompanying retainer (optional)
from € 1,700/month net

Clearly defined monthly hour quota in one of several package sizes, response time 24 h on business days as default. Quarterly renewable, cancellable any time. Mini packages we do not offer, because they do not allow meaningful sprint accompaniment.

Default tech stack
Next.js · TS · Postgres · Fly.io / Hetzner · Stripe · Resend

Our default stack — we deviate only when the use case clearly requires it (e.g. mobile-first, ML-heavy workloads, existing codebase in another framework). EU hosting via Fly.io FRA or Hetzner as GDPR default.

Ready for a first call?

30–45 minutes by call, no commitment. Tell us briefly what you need — we get back within one business day with concrete next steps and a realistic effort estimate.

DACH CONTEXT

AI prototyping for startups in AT, DE and CH.

We work with startups and innovation teams mostly in Vienna, Salzburg, Linz, Innsbruck, Graz, Munich, Stuttgart, Hamburg, Berlin, Frankfurt, Cologne, Zurich, Basel and Bern. These locations share an advantage and a challenge: there is a mature incubator and funding landscape — but also very active competition for talent, attention and funding slots. Both play into the prototyping approach.

Incubators and programmes our startup clients regularly touch:

  • Austria — aws Founders Circle, INiTS, Tech2b, Startup Salzburg, accent Lower Austria, Tabakfabrik Linz, Pioneers / Pioneers17, INNOpulse Vienna, regional founder hubs
  • Germany — UnternehmerTUM (Munich), Berlin Startup School, Factory Berlin, Plug and Play Stuttgart, Spielfeld Berlin, German Accelerator, BMWK "Digital Jetzt"
  • Switzerland — F10 (Zurich), Kickstart Innovation, Innosuisse, Venturelab, Impact Hub Zurich/Geneva

Funding landscape we actively factor in:

  • Austria — FFG innovation vouchers (€ 5,000 / € 12,500), aws pre-foundation programmes, EXIST-style state funding, Vienna Business Agency for innovation projects
  • Germany — EXIST founder stipend, "Digital Jetzt" (BMWK), ZIM innovation funding, regional programmes (e.g. ProFIT Berlin, BayTOU Bavaria)
  • Switzerland — Innosuisse innovation vouchers and projects, cantonal innovation funding

Prototyping and discovery phases are eligible for funding under several of these programmes. On request we deliver the technical and conceptual description in the form funding bodies expect — the formal application accompaniment, however, belongs in the hands of funding advisors with whom we are happy to work in parallel.

GDPR and EU data residency are more often a requirement than an option in DACH startup constellations — whether due to B2B customers with procurement compliance, funding requirements or planned pilot projects with authorities, banks or insurers. Our default stack (Fly.io FRA, Hetzner Frankfurt/Falkenstein, Resend, Stripe) is designed for this.

Working mode — all sprints run remotely via video calls, GitHub and Slack Connect. On-site meetings in DACH for larger build sprints or stakeholder workshops as needed — included in the fee from the MVP sprint upwards.

FREQUENTLY ASKED

Frequently asked questions about AI prototyping for startups.

What does AI prototyping at clickpuls cost?

Discovery as fixed price from € 1,500 net, subsequent build sprints also as fixed price after discovery, optional accompanying retainer from € 1,700/month net.

Standard flow:

  • First call free, 30–45 min.
  • Discovery fixed price from € 1,500 net — effort and concrete price depend on complexity and stakeholder count
  • Build sprints as fixed price after discovery, depending on sprint length (1, 2 or 4 weeks) and functional depth
  • Accompanying retainer from € 1,700/month net with a clearly defined monthly hour quota — optional, cancellable any time

Why fixed price instead of an hour bucket: founders should know on day 1 what discovery and MVP cost — and at sprint end whether the prototype runs. Delays we carry, not you.

How fast is a first working prototype realistic?

Validation prototype 1 week, MVP for real users 4–8 weeks — depending on complexity.

Realistic corridors:

  • Validation prototype (UI-first, clickable, without real persistence) — 1 week after discovery end. Goal: collect stakeholder or investor feedback before we build a real data model
  • MVP with real data model, auth, core flows4–8 weeks. Typically enough for the first 50–500 users
  • Production build with tests, monitoring, payment, custom domain8–16 weeks from discovery end. Typically enough for pilot phase with pilot customers or first hundreds of paying users
  • More complex use cases (marketplace, B2B multi-tenant, ML workloads) need more sprint packages — the exact number comes out of discovery

Important: "Fast" emerges in discovery, not in the sprint. A clean discovery of 1–3 weeks often shortens the build phase by weeks because stack, data-model and scope discussions are already done.

Which AI coding tools do you concretely use — and when?

We combine Cursor, Claude Code, Lovable, v0 and Bolt with classical senior engineering — not "one of them for everything".

When which tool:

  • Cursor — primary IDE for senior engineering, larger codebases, refactorings, test generation
  • Claude Code — agentic coding sessions, autonomous feature branches, migration paths, test suites
  • Lovable / v0 — UI-first validation prototypes when fast visual feedback against stakeholders or investors is needed
  • Bolt — rapid stack bootstraps when frontend, backend and DB should be set up together in one session
  • Classical engineering (TypeScript, manual architecture, code review, Git discipline) — foundation for anything that should become production-ready

What we consciously don’t do: "vibe coding" without an architecture plan. If a Lovable prototype is to go productive, a refactoring phase belongs to it that sets up the data model, auth logic and hosting architecture cleanly. Otherwise the startup pays for the later rebuild.

Do I keep full rights to the code and product?

Yes — you retain 100 % of the code, data and hosting accounts at every point in time.

Concretely:

  • Repository lives in your GitHub/GitLab account (or we set it up there)
  • Cloud accounts (Fly.io, Hetzner, Cloudflare, Stripe, Resend) run in your name — we work as invited team members, never via agency-owned wrappers
  • Domain & DNS run in your name
  • License: full source-code transfer in the work agreement — no sub-licensing, no lock-in
  • Sub-processor list as part of the handover documentation so you know which third parties process data

When the collaboration ends, you keep everything and can continue yourself at any time or use a different partner — no "you can only continue with us because otherwise the code won’t run any more".

Which tech stack do you recommend by default — and why?

Default: Next.js + TypeScript + PostgreSQL + Fly.io or Hetzner + Stripe + Resend.

Why this stack:

  • Next.js (App Router) — one codebase for SEO-capable frontend, API routes, server components, built-in image optimisation. Ideal for MVPs that scale later
  • TypeScript — same language from frontend to API, low refactor pain, excellent AI coding support in Cursor and Claude Code
  • PostgreSQL — relational, ACID, mature, runs everywhere (Neon, Supabase, Hetzner, Fly.io)
  • Fly.io (region FRA) for full container control and EU hosting; Hetzner (Falkenstein/Nuremberg) for cost-efficient self-hosted setups
  • Stripe — standard payment stack, best DX, EU-capable
  • Resend — modern transactional email with good deliverability and EU data residency

When we deviate:

  • Mobile-first use case → Expo / React Native
  • Heavy ML or CV → Python backend (FastAPI) with Next.js frontend
  • B2B SaaS with enterprise SSO from day 1 → early switch to Clerk or WorkOS for auth
  • Existing codebase in Vue, Astro, Laravel with active senior team → we build inside it, instead of flipping

What we don’t use: Wix, Webflow or comparable no-code platforms for productive web apps — they scale neither operationally nor under GDPR requirements.

Where is the code hosted — and is that GDPR/FADP compliant?

Default: EU hosting via Fly.io region Frankfurt or Hetzner Cloud (Falkenstein/Nuremberg) — both GDPR-compliant and with clear sub-processor documentation.

Hosting options we actively use:

  • Fly.io (Frankfurt FRA) — container stack with multi-region capability, built-in Postgres and volume management; ideal for Next.js apps with dynamic workloads
  • Hetzner Cloud (DE-Falkenstein, DE-Nuremberg, AT-Vienna) — cost-efficient VPS and managed Postgres setups; good for self-hosted architectures
  • Cloudflare Pages — when static marketing sites without sensitive data are built; with awareness that edge functions may route via US
  • Raidboxes — for WordPress-based marketing sites alongside the product stack

What we deliver technically / strategically on the GDPR/FADP question:

  • Hosting architecture in EU regions
  • Data-flow classification for data-processing agreements
  • Tracking setup with Consent Mode v2 (default GA4 / GTM, alternatively Plausible for analytics only)
  • Sub-processor overview for Stripe, Resend, Sentry, OpenAI/Anthropic APIs

What we don’t provide: legally binding GDPR or FADP assessment, privacy policies, cookie-banner texts, DPIAs, communication with authorities. That belongs in professionally appropriate hands — we actively recommend the parallel involvement of your lawyers or data-protection officers.

What happens after the MVP — who carries the product further?

Three models, depending on your setup:

  • In-house take-over — we hand over repository, architecture documentation, onboarding walkthrough for the first in-house engineer and remain available for 4–8 weeks for targeted questions via Slack Connect. Ideal if you already have a CTO or senior engineer on the team
  • Accompanying retainer from € 1,700/month net — we stay on board for bugfixes, smaller feature extensions, hosting care and performance optimisation. Clearly defined monthly hour quota, response time 24 h on business days as default. Ideal for founder teams without in-house engineering
  • Sprint-on-demand — when the MVP runs and only needs development in larger bursts (e.g. Q1: payment integration, Q3: B2B extension), we work in planned fixed-price sprints without an ongoing retainer

In all three models: you retain 100 % of the code, data and hosting accounts. You can switch mode at any time or bring in a different partner — no lock-in.

What response times apply during sprint and retainer?

Standard response to every request: within 24 hours on business days — even with no faster SLA contractually agreed.

What is possible beyond that:

  • Sprint phases — daily stand-ups or async updates via Slack Connect, response usually significantly faster than 24 h
  • Retainer with faster SLAs as a contractual add-on — e.g. 4 h response in CET business hours or on-call standby with under 30 minutes via SMS for critical production issues
  • Emergency escalation for production outages is contractually agreed, not a "costs extra in the moment of emergency" model

What we don’t promise: immediate response outside agreed SLAs. Clear response-time contracts are more professional than suggested 24/7 availability without real backup structures.

How do you differ from a freelancer collective or a pure no-code boutique?

Three structural differences:

  • Operator practice — for over 15 years we have built digital products ourselves (own shops, brands, SaaS tools). When we discuss tech stack, scaling sequence or hosting architecture, it is from engagements where we have walked the same step ourselves multiple times. Pure freelancer collectives or no-code boutiques generally lack this operator depth
  • Senior lead with fixed backup — you get a fixed senior lead and a second senior team member as backup. No rotating juniors, no account-manager layer, no "the one freelancer is currently on a different mission"
  • End-to-end responsibility instead of piece-work — we deliver discovery, build, hosting, handover and optional accompanying retainer from one source. With freelancer collectives, in the end often nobody carries responsibility for production stability

When the freelancer or no-code path fits better: when the project is small enough that a 1-week Lovable session suffices, or when you already have a CTO and engineering team that only needs spot reinforcement. In both cases we say so openly.

What do you not do in AI prototyping engagements?

Clear delineation — we are engineering and product accompaniment, not an investment, patent or marketing studio.

What we don’t do:

  • Pitch deck design or investor storyboard layouts — we deliver the prototype that makes the pitch credible; deck design belongs with specialist pitch-deck studios
  • Investment or funding advice — we accompany technically but assess neither term sheets nor cap tables nor valuation multiples. That belongs with specialist startup lawyers or venture consultancies
  • Patent or trademark filing — belongs with patent attorneys
  • Performance marketing or growth-hacking operations — we build the tracking setup but do not steer daily advertising campaigns
  • Legally binding assessmentGDPR/FADP evaluation, terms drafting, competition-law review. Belongs with lawyers
  • Classic market research — representative consumer surveys, brand-tracking studies. Belongs with market-research institutes

We say so actively: when a request clearly belongs in another discipline, we refer transparently — no invented engagements, no selling of disciplines we are not strong in.

STARTUP REQUEST

Tell us about your MVP.

4 short steps, about 3 minutes. You hear back within one business day with concrete next steps and a realistic discovery estimate.

About you

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