My stack
    Freelance dev

    AI / LLM stack

    The stack has to track prompts, cost, latency, evals, security and LLM observability.

    Selection
    10
    3 optional
    Target budget
    $86
    per month
    Profile
    Optimization
    business stage
    OpenAI API logoOpenAI APIClaude logoClaudeGemini logoGeminiLangChain logoLangChainLlamaIndex logoLlamaIndexVercel AI SDK logoVercel AI SDKSupabase logoSupabasepgvector logopgvectorPinecone logoPineconeQdrant logoQdrant
    01 / The selection

    Which tool does what?

    02 / ToolTrim's take

    Why these tools together?

    The trap: a magical demo with no traces, evals or cost control. A serious LLM app is observed like a product. ToolTrim approach: one tool per role, one source of truth per topic, and guardrails before premium tooling.

    A good fit if…

    Apps built on LLM APIs, RAG, embeddings, agents and AI workflows.

    Look elsewhere if…

    You only want a generic tool list without delivery, monitoring, or maintenance logic.

    Scope before coding

    Brief, deliverables, limits, access, and acceptance criteria must be set before final tooling choices.

    Deliver the full chain

    Code, preview, tests, logs, documentation, and billing must be designed together.

    Make handover possible

    The client must understand what exists, where it is hosted, how to deploy, and what to monitor.

    03 / Budget

    What should you budget?

    Target budget$86per month, to get started
    Core at list price$68per month, 7 tools on their first paid plan

    The target budget is the recommended starting envelope. The list price adds up each core tool's first paid plan, excluding 1 tool without a fixed price. Optional tools are not included.

    04 / Trade-offs

    What to watch out for

    The trap in this stack

    The trap: a magical demo with no traces, evals or cost control. A serious LLM app is observed like a product.

    • Overbuilt stack

      A senior stack is not a huge stack. It removes as much as it adds.

    • No monitoring

      Without errors, logs, and uptime, you discover issues through the client.

    • AI without guardrails

      AI accelerates but does not replace tests, review, or technical judgment.

    • Several active clients

      Standardize templates, checklists, conventions, and project onboarding.

    • Production risk

      Add monitoring, alerts, backups, secrets, and tests before adding new frameworks.

    • Recurring maintenance

      Move from one-shot delivery to a tracking system: changelog, tickets, light SLA, and monthly report.

    Self-check

    Questions to ask yourself

    1. Can the client see an up-to-date version without asking?

      No → add preview, short changelog, and stable link in the project page.

    2. Do you know what to monitor after production?

      No → start with errors, uptime, useful logs, and the main business event.

    3. Can the stack be explained to the client in five minutes?

      No → it is probably too scattered or not documented enough.

    More stacks to explore