No gated PDFs and no “contact us for a quote.” These are the price ranges, architecture trade-offs, and automation decisions we work through with clients every week — written down.
A field guide for founders whose build has stalled: what to secure in the first 48 hours, how a takeover audit is run, when repair beats a rewrite, and where a rescue lands on price.
Most AI agent quotes stop at the build price. Here is the other half — tokens, orchestration, review time and maintenance — with the formula to check payback yourself.
AI builders are the cheapest way to find out whether anyone wants your product. They are also the most common reason we get called in to rebuild an auth layer six months later. Here is exactly where the line sits.
Most Heroku migrations run $4,000-$18,000 and three to eight weeks. Here is the price math, the destination comparison, and the cutover method that keeps the write freeze under five minutes.
Competitor price scraping answers a retail question. Distributors need to know where their own negotiated prices, discounts and rebates are quietly eroding margin.
One AI agent run can be one billable unit or fifteen, depending on the platform. Here is how the billing models, failure modes and break-even points actually compare.
The four-layer automation sequence we use when we build for agencies: what to automate first, what a custom build costs against subscription tooling, and the work that never compresses.
Agencies do not quote a vision, they quote decisions. Here are the nine sections that turn an idea into a fixed number, the four cut rules that shrink the feature list, and a fill-in template you can send to three firms the same day.
The contract model decides who pays when scope moves. Here is how each one fails, the nine clauses that matter, and the AI-era terms most templates still miss.
Most bad agency engagements were visible before the contract was signed. Here is what to check at each stage, including how to tell whether AI-written code is actually being reviewed.
Most small companies running an AI agent are deployers of a minimal-risk system, and the paperwork that eats time is GDPR's, not the AI Act's. Role, tier, dates, vendor settings and hours — in one place.
Request count is the wrong metric. What decides whether you should leave Lambda or Vercel is how busy your compute actually is — and how heavy each invocation is. Here are the priced crossover points.
Most AI agent incidents come from too much access, not clever attacks. Here is how to scope permissions, stop prompt injection from turning into actions, and vet a vendor.
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