Notes on building AI, automation and software that ships.

Connector counts stop mattering the moment a model decides what happens next. Where each platform actually breaks — the loop, the resume, the token bill — and the one rule we use to pick.

Chunking a spreadsheet destroys the only thing that made it useful: the schema. Here is the pipeline that answers numeric questions exactly, with the SQL as the citation and a cell range behind every claim.

Most "full stack" hires are frontend developers with an ORM. Here's the 90-minute broken-repo interview that catches it, the four seams where their code quietly fails, and what 2026 rates actually look like.

A website chatbot takes three days to demo and three months to trust. The failures are always the same four — boilerplate-poisoned chunks, a six-second first token, invented pricing, and an injected review page — and each has a fix that survives real traffic.

A Python MCP server is forty lines of FastMCP until you point one at a 900-table ERP. Four things broke every server we shipped for clients: a dependency printing to stdout, a blocking driver stalling the event loop, `str` type hints the model has to guess at, and a tool that works perfectly and returns 40,000 tokens.

A scraping API has to answer at 9am when the dashboard loads, not whenever the target site feels cooperative. Here is the architecture that holds: async jobs, versioned schemas, freshness as a parameter, and block detection that treats a 200 as a lie.

Charts, tables and scanned pages don't go missing because the model is too small. They go missing because the page was flattened into undifferentiated text before anything was embedded — and nothing in the pipeline threw an error.

Custom software cost is set by unknowns and integration surface, not screen count. Here's how the number is built, why three shops quote one spec 7x apart, and where to cut without buying a rewrite.

Most automation shops can wire two apps together in a demo. Far fewer build automations that keep running when an API changes or a record comes in malformed. Here's what a good AI automation company delivers, the red flags, and what it costs.

An AI automation engineer is part integrator, part programmer, part reliability engineer — and the market is full of people who only have the first part. Here's what the role really is, what it costs (freelance, embedded, or full-time), and how to tell a good one from a zap-builder.

Tests that hit a real model are slow, cost money, and return something different every time — so LLM test suites either don't get run or get mocked so heavily they test nothing. Here are the four approaches, the trade-off that actually matters (which layer you mock at), and a working record/replay setup.

Manifest V2 is dead and V3 breaks assumptions your extension was built on. Here is what actually breaks, why, and how to migrate it without shipping a regression.

MCP is new enough that everyone claims to build servers and very few have shipped one that's secure, token-efficient, and still works after the spec moves. Here's what a good MCP server development company delivers, the red flags, and what it costs.

Every MCP server loads its tool schemas into the model's context on every request — before the user types a word. We measured 20 popular servers with our open-source tooltax: they range from 237 tokens (Fetch) to 17,430 (Notion), and loading all 20 at once would consume 36.7% of a 200k window.

Strapi vs Directus is usually argued over admin panel screenshots. The decision that actually matters is whether the CMS generates your schema or adopts one that already exists — and how each handles row-level permissions and environment drift.

An AI chatbot for customer service lives or dies on what it can look up and when it gives up. Most of a support queue isn't documentation questions — it's Stripe and Shopify lookups wearing a question mark.

Directus, Payload and Sanity compared on the four things that bite in month seven: how a field rename reaches production, how far permissions bend before you write middleware, how editors see a draft, and what the bill looks like at eight editors.

A graph RAG build answers the multi-hop and aggregate questions vector search structurally cannot. The hard parts are typed extraction, entity resolution and query routing — the graph database is a weekend.

Custom WordPress plugin development is where most agencies quietly ship tech debt. Here's how a plugin that survives core updates, other plugins, and a year of traffic actually gets built.

A Chrome extension company that ships can prove it: live extensions in the Web Store they still maintain, Manifest V3 in production, and a plan for the day Chrome breaks the service worker. Here's the evidence to demand, the company types compared, and how to avoid the abandon trap.

The best RAG development company is the one that makes retrieval correct on your real data and hands you evals to prove it — not the one with the slickest demo. Here are the criteria to score them on, the company types compared, and the questions that expose a wrapper.

Pick a white-label dev partner on behaviour under your brand, not the portfolio: invisibility, a clean IP handoff, team continuity, and a no-poaching clause. Here's the partner-type comparison, a selection scorecard, and the trial that de-risks the whole thing.

AI automation services run from around $2k for a scoped build into five-figure retainers for systems your business runs on. Here's the honest breakdown of tiers, drivers, and build-once vs managed.

Most "AI" work is a demo that impresses in a meeting and breaks on real data. AI engineering is the discipline of building AI systems that survive production. Here's what a good AI engineering company delivers, how the options compare, and what an engagement costs.

Your extension got rejected and the email barely says why. Here is what Google actually means by each rejection reason, how to fix it, and how the appeal works.

Hiring a Flutter developer is easy until the app hits real devices, real data, and the App Store review queue. Here's how to tell a shipper from a demo-builder before you sign.

Before you commission a scraper, run this checklist: is the data public, how hard does the site fight back, and what does the law say? Here's how to tell a green-light project from a money pit.

White-label dev lets your agency sell software you don't build. Partner rates run $65–$150/hr or $499–$2k/mo retainers — and you bill your client 2–3x that. Here's the honest model.

Whoever builds your extension has to survive Manifest V3, a back end, and Web Store review. Here is how to tell a specialist from a generalist before you pay, and what it costs.

Hire a RAG developer who can make retrieval correct on your real data, not just a demo that answers three questions and then invents the fourth. Here's how to tell them apart, what it costs, and the red flags.

Hiring a web scraping company is really about who can keep a scraper alive after the target site changes and fights back — not who can grab a table once. Here's what to look for, a vendor comparison, honest cost ranges, and why ongoing scraping is a retainer.

A Manifest V3 migration runs from about $1k for a simple extension to $15k+ for one built on blocking webRequest. Here is what sets the number and when to hire it out.

The right MVP development company ships your core loop in weeks, not features you don't need. Here's what a good partner does, what it costs, and the red flags.

An n8n workflow costs from around $2k to build simple, into five figures when it's business-critical — and the real spend is keeping it alive. Here's the honest breakdown.

Most Shopify app work fails on the invisible platform rules — review, billing, webhooks, GDPR — not the features. Here's how to pick a company that actually ships one that survives.

Headless CMS development looks clean in the demo and gets messy the week you deploy. Here's what actually breaks with Strapi — content modeling, the populate trap, schema migrations — and how we ship around it.

Hire AI developers who can ship past the demo — here's what the role actually requires, what it costs across tiers, and how to test for it in an hour.

A custom software development RFP that asks for features gets you feature-shaped lies. Here's what we actually read in an RFP, what makes us no-bid, and how to write one that produces comparable, honest numbers.

Most "AI agent" shops can build a demo. Far fewer can ship an agent that survives real traffic. Here's what a good AI agent development company actually delivers, the red flags, and what an engagement costs.

Web scraping for sales lead generation only pays off if the data is clean, verified, and deduped. Here's what actually breaks between the scrape and the CRM.

Python vector search implementation looks trivial until your index hits a million rows: here's the embedding, indexing, filtering and reranking code that actually holds up in production.

How to build a local RAG system from scratch in Python — the parts that matter, the parts that break, and why the demo that works on 12 documents falls over at scale.

Custom Android app development company shopping is a minefield of template mills — here's the engineering that separates a shop that ships from one that hands you an APK and a crash rate.

Secure MCP server development is mostly about the boring parts — token scope, tool descriptions, and what your tools return — not the model. Here are the failure modes we actually hit in production.

Next.js development that survives production: the App Router caching traps, the Server Component boundary, and the failure modes no tutorial warns you about.

White-label WordPress development lives or dies on the handoff, not the code. Here's what separates a partner your clients never notice from one who blows your margin on the third revision.

Most RAG demos look great until they confidently invent an answer. Here's the RAG development playbook we use to make a system admit what it doesn't know.

MCP server development is less about the protocol and more about tool design. Here's how to build tools an agent can actually call without guessing.

Manifest V3 killed the persistent background page and broke a decade of habits. Here are the Chrome extension development patterns that hold up.

AI workflow automation is easy to build and easy to leave fragile. Here's how to make an n8n workflow retry, recover, and page you before it fails silently.

RAG development cost depends less on the model and more on your data. Here's an honest breakdown of what drives the number and where teams overspend.

AI agent development cost runs from about $2k for a tightly scoped one to $3k+/mo retainers for multi-step systems. Here's the honest breakdown of the tiers and what moves the number.

AI chatbot development cost ranges from cheap widget to serious project. Here's what actually drives the number and how to avoid paying for the wrong tier.

MVP development cost hinges on how much you cut, not how much you build. Here's what actually drives the number and how founders waste money before launch.

Web scraping service cost is driven by how hard the site fights back, not the data itself. Here's an honest breakdown of the tiers and the hidden line items.

RAG and fine-tuning solve different problems, and picking the wrong one wastes months. Here is a straight answer on which fits your situation.

Off-the-shelf chatbot SaaS gets you live in an afternoon. A custom build costs more up front. Here is honestly which one you should pick.

Freelancer, agency, or in-house hire for your software build? Each is right for a different situation. Here is the honest breakdown of the trade-offs.

MCP standardizes how AI agents reach your systems. Traditional API integration is proven and direct. Here is which one your project actually needs.

A simple Chrome extension starts around $1k; a full MV3 build with a back end, auth, and AI runs $5k–$20k+. Here is the price/timeline breakdown and what actually moves the number.

The three big automation tools price and behave very differently. Here is an honest comparison of cost, data ownership, and custom logic — and why we build on self-hosted n8n.

A private connector and a public App Store product are not the same project or the same budget. Here is an honest breakdown of what drives Shopify app cost and where the tiers land.