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Buduję MVP-y i Claude Code automations dla solopreneurów. Od pomysłu do produkcji w 2-4 tygodnie.

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Bartosz Gaca — MVPs, MCP Servers, Claude Code

Buduję MVP-y, MCP servery i Claude Code automations dla solopreneurów i tech-founderów. Od pomysłu do produkcji w 2-4 tygodnie. MVP Sprint 15-30K PLN, Builder Retainer 5-10K PLN/mies, Automation Pack 3-8K PLN/mies.

Usługi — od pomysłu do produkcji w 2–4 tygodnie

  • MVP Sprint — Twój produkt w produkcji w 2-4 tygodnie
  • Builder Retainer — Twój developer na abonament po MVP
  • Automation Pack — Claude Code + MCP + custom agenty
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Najczęstsze pytania

Ile trwa zbudowanie MVP?

Od pomysłu do produkcji w 2–4 tygodnie w modelu MVP Sprint — one-man software factory z Claude Code i custom agentami.

Ile kosztuje współpraca?

MVP Sprint 15 000–30 000 PLN jednorazowo, Builder Retainer 5 000–10 000 PLN/mies, Automation Pack 3 000–8 000 PLN/mies.

Co to jest MCP server i po co mi?

MCP server to most między modelem AI a Twoimi systemami (baza, API, narzędzia) — dzięki niemu asystent realnie wykonuje zadania w firmie, nie tylko odpowiada na pytania.

Dla kogo jest ta oferta?

Dla solopreneurów i tech-founderów oraz firm, które chcą automatyzacji i integracji AI bez budowania własnego zespołu deweloperskiego.

Jak zacząć współpracę?

Zarezerwuj bezpłatny 30-minutowy audyt na /audit — omawiamy zakres i najszybszą ścieżkę do produkcji.

ChatGPT vs Claude vs Perplexity vs Gemini 2026: which AI assistant for which job

Four major AI assistants, four different strengths — and a monthly bill that goes to waste if you pick wrong. This piece is for founders, developers and companies who want to match the tool to the actual job: coding, research, writing, or working with documents. No hype — prices linked to sources, current models (July 2026), and honest trade-offs. Prices are in USD; monthly subscription figures are the primary numbers.

TL;DR

  • Coding and agents → Claude (Opus 4.8 / Sonnet 5 + Claude Code). Strongest at long, autonomous programming tasks.
  • Web research with citations → Perplexity. An AI search engine with footnotes to sources, not a chatbot answering from memory.
  • All-purpose assistant + image/video generation → ChatGPT (GPT-5.5). The widest feature set in one subscription.
  • Working inside Google (Gmail, Docs, Sheets) → Gemini (3.1 Pro). Cheapest entry and native Workspace integration.
  • Common pricing shape: the "pro-consumer" plan is ~$20/mo, and power-user top tiers run $100–$200/mo.

ChatGPT (OpenAI) — the widest Swiss Army knife

  • Flagship model: GPT-5.5 (released 2026-04-23) — faster and sharper than GPT-5.4.
  • Pricing (monthly): Free; Plus $20; Pro $100 (5× Plus quotas, 50 Deep Research sessions); Pro $200 (20× quotas, 250 Deep Research, Sora video, 1M context) — chatgpt.com/pricing.
  • Context: Plus ~32K, Pro $100 ~128K, Pro $200 up to 1M tokens.
  • Best for: general work — writing, brainstorming, code, file analysis, image and video (Sora) in one subscription.
  • Weak spot: the full 1M window and the most interesting features sit on the $200 plan; lower tiers have a much smaller context.

When to choose it: when you want one "do-everything" tool and value the broadest feature set (multimodality, video) over specialization. For a team just starting with AI, it's the safest first pick.

Claude (Anthropic) — the coding king

  • Models: Opus 4.8 (flagship, 1M context), Sonnet 5 (quality/cost balance, 1M), Haiku 4.5 (fast and cheap, 200K); Fable 5 as the most-demanding tier. For the heaviest agentic tasks: Opus 4.8 / Fable 5.
  • Subscriptions (monthly): Pro $20 ($17 billed annually); Max $100 (5×) or $200 (20×) — claude.com/pricing.
  • API pricing (per 1M tokens): Opus 4.8 — $5 in / $25 out; Sonnet 5 — $3/$15 (intro $2/$10 through 2026-08-31); Haiku 4.5 — $1/$5.
  • Context: 1M tokens (Opus/Sonnet), 200K (Haiku).
  • Best for: coding and agentic work — Claude Code (a CLI included in Pro/Max) runs long, autonomous tasks over a repo. Also strong at analyzing long documents.
  • Weak spot: no native image/video generation; web search exists but it's not a research engine like Perplexity.

When to choose it: when you write code, build MVPs, automations or API integrations and want the model that best holds long context and hallucinates least during refactors. It's my default for engineering work.

Perplexity — the research engine

  • Model: not its own LLM but a search layer over frontier models (GPT-5.4, Claude Opus 4.8, Gemini 3.1 Pro) plus its own Sonar API.
  • Pricing (monthly): Free; Pro $20; Max $200 (multi-model "Model Council", Perplexity Labs, Comet browser) — perplexity.ai/pricing.
  • What it's for: fast answers with footnotes to sources, literature review, fact-checking, market analysis — research where "how do you know" matters.
  • Best for: research on fresh data where you want to click through to the source, not trust the model's memory.
  • Weak spot: weaker at long-form writing, complex code and agentic work — it's a "find and cite" tool, not a "build" tool.

When to choose it: when your work is mostly finding and verifying information and citability and freshness are paramount. Great alongside Claude/ChatGPT, less often as your only tool.

Gemini (Google) — native in the Google ecosystem

  • Flagship model: Gemini 3.1 Pro (1M-token window); Gemini 3.5 Flash for fast tasks.
  • Pricing (monthly): AI Plus $7.99; AI Pro $19.99 (Gemini 3.1 Pro, 1M context); AI Ultra $99.99 (entry) or $200 (top tier) — gemini.google/subscriptions.
  • Context: 1M tokens (3.1 Pro).
  • Best for: work embedded in Google — Gmail, Docs, Sheets, Drive; if your company lives in Workspace, Gemini is already "in place".
  • Weak spot: outside the Google ecosystem its edge fades; for pure coding Claude usually does better.

When to choose it: when your workday is Google Workspace and you want AI that reads and writes directly in your documents and email. Cheapest entry (AI Plus) of the four.

Table 1 — AI assistants compared 2026

ToolFlagship model"Pro" price (mo)Top tier (mo)ContextBest for
ChatGPTGPT-5.5$20$100–$20032K–1MAll-purpose, image/video
ClaudeOpus 4.8 / Sonnet 5$20$100–$2001M (200K Haiku)Coding, agents, long context
Perplexityfrontier + Sonar$20$200model-dependentResearch with citations
GeminiGemini 3.1 Pro$20$100–$2001MGoogle ecosystem

Table 2 — which AI assistant for which job

JobBest choiceAlternativeWhy
Coding / MVPs / agentsClaude (Opus 4.8 + Claude Code)ChatGPTBest at holding long context and repo work; least prone to breaking things during refactors
Research and fact-checkingPerplexityChatGPT (Deep Research)Answers with footnotes to sources and fresh data
Writing (content, email, docs)Claude or ChatGPTGeminiClaude — long, coherent text; ChatGPT — fast, general-purpose
Working with documentsGemini (in Google Workspace)Claude (long PDFs)Native integration with Docs, Sheets, Gmail; Claude for long-file analysis
Image and videoChatGPT (Sora)GeminiMedia generation right inside the subscription

Table 3 — how much an AI assistant costs per month

ToolFree plan"Pro" plan (mo)Top plans (mo)
ChatGPTYesPlus — $20Pro — $100–$200
ClaudeYesPro — $20Max — $100–$200
PerplexityYesPro — $20Max — $200
GeminiYesAI Pro — $19.99AI Ultra — $99.99–$200; AI Plus — $7.99

Prices and models change quickly — check the linked pricing pages before deciding.

FAQ

Which AI assistant is best for programming in 2026?
Claude — Opus 4.8 and Sonnet 5 with Claude Code lead on long, autonomous programming tasks and best hold the 1M context. ChatGPT (GPT-5.5) is a strong second.

Perplexity or ChatGPT for research?
Perplexity when you need answers with source footnotes and fresh data. ChatGPT with Deep Research suits deeper, multi-hour analyses but shows sources less transparently.

How much does an AI assistant cost per month?
The "pro" plan across all four is about $20/mo. Power-user top tiers: $100–$200/mo. Gemini has the cheapest entry — AI Plus at $7.99.

Is it worth paying for several at once?
For many teams, yes: Claude for code, Perplexity for research, ChatGPT/Gemini as an all-purpose assistant. But before adding a second subscription, check whether one tool already covers 80% of your tasks — it usually does.

Practical takeaway

There's no single "best" assistant — there's the best one for your work. Coding and building? Claude. Searching and verifying? Perplexity. Want one tool for everything with image and video? ChatGPT. Live in Google? Gemini. Choose by your dominant task, start with the ~$20 plan, and add a second tool only when you genuinely miss a specific feature.

I select and deploy these tools (plus Claude Code, MCP servers and automations) for founders and companies — from picking the stack to a working prototype. If you want to go from "which one" to "it already works", book a free 20-minute Fit Call.

Related: LLM routers: how to cut AI costs, Claude Code token optimization, and what an MCP server is and why your business needs one.