How-to
Custom AI agents: how to spec, build and deploy one without a full engineering team
How to spec, build and deploy a custom AI agent: build vs buy, the capability boundary, evals, trade-offs, and fixed-price, pod and white-label routes.
Writing
Cost breakdowns, teardowns and comparisons from systems we have shipped.
Fewer, deeper pieces rather than a weekly feed. Every one leads with a complete answer, states specific numbers rather than adjectives, puts comparative data in real tables, and says where the approach fails. If we have not measured something, we do not publish a figure for it.
Latest
Comparison
Best software for AI development: frameworks, vector databases and orchestration, layer by layer
The software we use to build AI agents, RAG and automation, layer by layer: model SDKs, orchestration, vector databases, evals and AI coding tools.
Comparison
MVP versus full product development for AI projects: comparing cost, speed and validation
AI MVP or full build? Our costs and timelines for RAG, agents and automation, the model and demand metrics to track, and a four-question decision flow.
How-to
Seven practical ways startups can launch an AI MVP on a shoestring budget
Seven low-cost ways to launch an AI MVP: prompt tests, RAG, one workflow, fixed-price builds, monthly pods and white-label, with costs and checklists.
How-to
Step-by-step checklist for hiring an AI partner that delivers quickly and scales with your product
A 12-step checklist for hiring an AI partner that ships fast and scales: start dates, evals, cost at scale, code ownership, red flags and real timelines.
Cost breakdown
Budget-friendly MVP development services for startups: cost, timeline and deliverables
What a budget MVP costs - no-code, custom or AI - what a $10-25k build should include, fixed price vs pods, and a checklist before you spend.
Comparison
QA for RAG systems versus traditional software: what needs different testing
Why unit tests miss AI failures, and what RAG systems need instead: eval datasets, faithfulness metrics, hallucination regression gates and monitoring.
Comparison
MVP development services versus full product development: which route is best for testing your idea?
MVP or full build first? Market costs and timelines for each stage, when each route wins, a three-question decision framework and the metrics to track.
Comparison
How to choose an AI software development company for your startup: what to ask and why ownership matters
Fixed-price build or embedded pod, what AI development costs, the ownership clause that matters most, and 10 questions to ask before you sign.
How-to
How to implement retrieval augmented generation for your startup's knowledge stack
How to build a RAG pipeline for a startup: document prep, chunking, hybrid retrieval, tools, realistic costs and evaluation, with a practical checklist.
Cost breakdown
MVP development cost and timeline: what a startup should actually budget
What an MVP costs, how long it takes and where startups overspend. Market ranges by product type next to our fixed-scope pricing from $4,500.
How-to
How to choose an MVP development company without learning the hard way
The partner types, the questions to ask, the red flags and what the contract must cover when you hire an MVP development company or agency.
How-to
AI MVP development: prove the model before you build the product
How to build an AI MVP: validate the model on real data first, keep the SaaS layer thin, skip the mobile app, and what an AI MVP really costs.
How-to
How to hire dedicated developers: cost, process and red flags
What dedicated developers cost, when to hire them, the step-by-step process, what to check with remote engineers, and the red flags that shift risk to you.
Comparison
Dedicated development team vs staffing agency vs recruiter: which do you need?
Recruiters place permanent hires, staffing agencies supply contractors, dedicated team vendors supply a managed team. What each costs and when it is right.
Explainer
What does an AI automation agency do, and what should it cost?
What an AI automation agency builds, the services worth paying for, how engagements are priced, and how to evaluate one before you sign.
Comparison
Workflow automation consulting: n8n vs Zapier vs custom code
What workflow automation consulting delivers, when to use Zapier, n8n or custom code, what to ask n8n experts, and what an engagement costs.
How-to
AI integration services: adding AI to software you already run
What AI integration services involve, how GPT development fits in, common patterns, what goes wrong, what it costs, and how to choose a provider.
Comparison
AI automation agency vs in-house development: comparing cost, speed, and risk
Agency or in-house for your AI product? Year-one cost, time to launch and the real risks of each, for non-technical founders deciding how to build.
Technical teardown
Evaluating LLM output in production
What we actually test, how regression suites are structured, how to handle non-determinism, and what to do when the evals disagree with your users.
How-to
How agencies deliver AI projects without hiring AI engineers
Four options - hire, contract, white-label, or refuse the work. An honest assessment of each, the terms to insist on, and the red flags.
Technical teardown
Your site renders fine and some AI crawlers see nothing
Googlebot runs JavaScript. Many AI crawlers do not. How to check what a non-rendering crawler reads on your pages, and the three failures that cause it.
Longer pieces that live as permanent pages
Some things are better maintained than republished. These get updated in place rather than reissued at a new URL each year:
- How much AI development costs in 2026
- What AI agents actually cost to build
- White-label AI vs hiring an in-house AI engineer
- What n8n actually costs: self-hosted vs cloud
- Pinecone vs Weaviate vs pgvector at scale
- When to use LangChain, and when not to
- What the EU AI Act means for your build
- AI agency vs freelancer: an honest decision guide
- Staff augmentation vs project outsourcing
Tell us what you are building
A free strategy session: what is buildable, what it costs, what we would do first.