Articles

AI Builders & APIs

v0, Bolt, Framer and other AI app builders, plus LLM APIs for web developers: streaming, structured output, RAG, embeddings, tool calling, costs and prompt injection.

AI Builders & APIs

LLM Cost Optimization: Token Budgets, Caching and Models

Set realistic LLM budgets using measured token usage, safe caching and task-based model routing, then track cost per successful workflow rather than cost per request.

Inside this article

Build a budget from actual workloads
Bound tokens before optimising prices
Distinguish prompt caching from answer caching
Route models by demonstrated task quality

Chidi NwosuRead the article

AI Builders & APIs

No-Code AI App Builders for Designers Who Don't Code

Choose an AI app builder by testing a complete user journey, not just its first screen. Learn how designers can specify behaviour, inspect data boundaries and prepare a responsible handoff.

Chidi Nwosu

AI Builders & APIs

LLM Evals: How to Test AI Features With Golden Sets

Build practical AI evaluations with representative golden sets, deterministic assertions, calibrated judging and release gates that catch meaningful regressions.

Daniel Kim

AI Builders & APIs

Build Internal Tools and Dashboards With AI

Build useful internal dashboards with clear data contracts, server-side permissions and recoverable actions. Start with one workflow and prove reliability before expanding access.

Chidi Nwosu

AI Builders & APIs

Speech-to-Text and Text-to-Speech APIs in JavaScript Apps

Build speech features that handle streaming audio, interruptions, consent and playback reliably, with clear boundaries between browser capture and server-side AI processing.

Inside this article

Choose the interaction before the transport
Capture audio with explicit boundaries
Treat transcripts as revisable data
Make playback interruptible and predictable

Daniel KimRead the article

AI Builders & APIs

Lovable Tutorial: From First Prompt to Published Site

Build a small Lovable app from a focused first prompt, then check data permissions, interface states, branding and deployment before opening it to real users.

Daniel Kim

AI Builders & APIs

LLM API Tutorial for Web Developers: Requests and Tokens

Build a dependable first LLM API integration: understand request boundaries, token budgets, response handling, latency measurements, and the checks needed before launch.

Grace Chen

AI Builders & APIs

LLM Data Privacy: Sending User Data to AI APIs Safely

Map exactly which user data reaches AI providers, minimise payloads and document retention, access and deletion controls before shipping an AI-powered feature.

Chidi Nwosu

AI Builders & APIs

How to Prompt Lovable and Other AI App Builders

Turn a vague app idea into a buildable specification with clear scope, screen states, data relationships, and acceptance checks that keep AI builders on track.

Inside this article

Start with an outcome and a boundary
Describe screens as states and transitions
Define data before asking for realistic screens
Write a prompt the builder can execute

Grace ChenRead the article

AI Builders & APIs

Embeddings and Vector Search Explained (With an Example)

Understand embeddings through a documentation-search example, then choose similarity measures, chunk boundaries, metadata filters, and tests that reveal weak retrieval.

Grace Chen

AI Builders & APIs

Export AI Builder Code to GitHub and Own Your Project

Move an AI-built app into GitHub with a clear inventory, safe repository setup, reproducible local development, and a tested plan for deployment and maintenance.

Daniel Kim

AI Builders & APIs

LLM Function Calling Tutorial: Let AI Call Your APIs

Connect language models to application APIs through narrow tool contracts, server-side validation and explicit approval gates that keep generated requests under control.

Chidi Nwosu

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