Most agencies charge $80K/month. 12 engineers  on retainer. 6-month timelines.
 We do the same work for $3K/month. Different  architecture: AI agents senior team. 5-day audit to see if it fits: $950. welldone.tech

What can your agent actually touch? A UK study found ~700 cases of AI models ignoring direct instructions - 5x since October. A better prompt won't fix that. Knowing which keys, databases and deploy pipelines your agent can reach at 3am will. Can't answer in one sentence? That's the audit. welldone.tech

Lovable ran 48 days with open databases. 8M users. The AI wrote code that worked - it just wasn't safe. «Works» passes the demo. «Safe» survives millions of people at every trust level. Models nail the first; the second only happens if a human makes it. Shipped AI features lately with no security pass? You don't know how wide that's open. welldone.tech

AI didn't make code cheaper. It moved the cost downstream. Generation went to nearly free. But a METR study put experienced devs 19% slower with AI - while they felt 20% faster. The typing got faster. The reviewing, the rewrites, the incidents got slower. The real unit cost of a line of AI code was never the tokens. It's the review it demands and the blast radius when it's wrong.

Microsoft just said it at Build 2026: «Coding agents can generate an app in seconds. Getting it to production is still the slow part.» That's the gap Forge was built for. Agent writes the spec. Senior engineer approves. Agent writes code. Second model reviews. Engineer triggers deploy. Agents never hold deploy keys. Generation is solved. The accountability layer is what most teams are still missing. welldone.tech

E-commerce paradox: most traffic is mobile. Most conversions happen on desktop. Not an audience problem. An experience problem. Browser checkout on mobile: 3 extra steps, no biometrics, no saved payments that actually work. Native app removes all of that. One codebase, iOS Android, connected to your existing backend. Shipped in weeks. welldone.tech

Anthropic shipped Opus 4.8. Top coding benchmarks. We've been running Claude in production - spec review, architecture decisions, PR checks. Every model upgrade shows up directly in delivery speed. The question isn't whether to use it. It's whether your engineers are in the loop when it runs.

Microsoft cuts Claude Code access for engineers to curb AI costs. The biggest cloud vendor in the world just confirmed what every mid-size engineering team has been struggling with: AI tooling without cost guardrails breaks margins fast. Routing matters. Quotas matter. Harness engineering matters.

$0.87 per million output tokens. Permanent. "We use GPT-4" as a default just became a margin liability.

Third major supply chain campaign in 30 days. The "trust the marketplace" era is officially over.

Need a legacy refactor or building from scratch?
 We ship MVPs in 4 weeks. Refactors in 5 days. Not because we work harder. Because we built a  different stack: AI agents senior engineering  team. Same team end-to-end. Fixed pricing. 5-day Clarity Sprint to scope: $950.

You won the strategy pitch. Lost the build. The client needed both. You subcontracted. It showed. Most agencies lose the development half of every deal - not because they lack talent, but because dev delivery isn't their core setup. Welldone sits behind your brand. White-label engineering - your client sees you, we stay invisible. You set the margin. We ship production-ready code faster than any team they've worked with before. Three ways to work together: - White-label: full delivery under your brand - Subcontract: we handle overflow, you stay lead - Referral: 10% of every invoice for 6 months. One intro is enough. Agencies get exclusive pricing on every plan. How do you currently handle client requests that go past strategy?

Six months in. Old platform still live. New one not ready. Team maintaining both. Most rebuilds end here. The platform wasn't the problem. At Welldone, we migrate section by section - checkout, catalog, CMS. Zero downtime. Old platform keeps earning while the new one ships. Clarity Sprint maps the full path in 5 days. Cost, timeline, risk - before you commit. welldone.tech

OpenAI just open-sourced Symphony - an agent orchestrator that routes coding tasks to autonomous agents via issue trackers. Humans review completed work. No interactive sessions. The shift makes sense. The gap is in what "review" means. Reviewing AI output after it's written is not the same as approving a spec before any code exists. The first catches errors. The second prevents them. Symphony moves the human to the end of the loop. At Welldone, the human is at the beginning - before any agent touches a file - and at the end, before anything ships. The orchestration layer isn't the hard part. The hard part is deciding what "done" looks like before the agent starts.