How we work

AI-first software delivery, shipped weekly

A senior pod, an agent-paired workflow, and a process you can audit at every step. From opportunity map to production hardening — one team, one bar, one accountable line.

Engagement models

Three ways to start. All AI-first.

Pick the shape that fits the problem. We staff each model with the same senior engineers and the same delivery bar — only the commercial wrapper changes.

Fast2 – 6 weeks

Fixed-scope sprint

Tight scope, fixed price, dated deliverables. Best for a focused MVP, an internal tool, or a discrete platform module.

Best for

  • MVPs and prototypes
  • Internal tools
  • Single-flow integrations
EmbeddedOngoing — 3 mo+

AI-augmented squad

A pod of senior engineers, designers and an AI-platform lead embedded into your roadmap. We ship every week against your priorities.

Best for

  • Product roadmaps
  • Platform rebuilds
  • Long-running AI features
Transfer6 – 18 months

Build · Operate · Transfer

We build and operate the system in production, then hand the keys (codebase, runbooks, evals, hiring playbook) back to your team.

Best for

  • Greenfield platforms
  • AI products you'll own long-term
The Cord4 delivery loop

Six stages where AI shows up — and where humans own the call

Every stage has a defined input, a defined output, and a clear line on what AI does versus what an engineer signs off on. No opaque hand-offs.

  1. 01Discovery

    Problem framing & opportunity map

    A working session, not a deck. We pressure-test the brief, map the user journey, and identify where AI compresses cost or unlocks new behaviour.

    AI assistAI-assisted research synthesises competitor flows, public docs, and your own analytics into a one-page opportunity map.

    Outputs

    Opportunity map · Risk register · Tech spike list

  2. 02Design

    AI-paired product & system design

    Information architecture, flow design, and the technical blueprint. Reviewed against quality bars before a single line of production code is written.

    AI assistVision models on whiteboard scans, generative wireframes for fast iteration, model selection based on your latency / cost / quality envelope.

    Outputs

    Clickable Figma · System diagram · ADRs

  3. 03Build

    Agent-paired engineering

    Every senior engineer ships paired with an AI engineering agent (Cursor, Claude Code). Stronger code, more tests, faster cycles — without compromising review.

    AI assistAgents draft scaffolding, tests, and migrations; engineers own architecture, hard problems, and the final commit. 100% of merged code is human-reviewed.

    Outputs

    Daily PRs · Storybook · Preview environments

  4. 04Verify

    Eval-gated review

    Type checks, unit tests, integration tests, accessibility checks, and — for AI features — model evals run on every pull request. Nothing ships orange.

    AI assistAI-generated test cases, AI-summarised PR diffs for reviewers, automatic regression suites built from production traces.

    Outputs

    Coverage report · Eval report · Security scan

  5. 05Ship

    Production hardening

    Infrastructure-as-code, blue/green deploys, observability wired in from day one. We treat the first 30 days in production as part of the build.

    AI assistAnomaly detection on logs and traces; auto-generated runbooks; AI-drafted incident postmortems for human sign-off.

    Outputs

    Cloud stack · Dashboards · Alerts · Runbooks

  6. 06Operate

    Operate · learn · iterate

    We don't disappear at launch. Weekly performance reviews, quarterly architecture audits, and a roadmap that compounds the wins.

    AI assistTrace replay, prompt regression tests, model upgrades benchmarked against your live evals before rollout.

    Outputs

    Weekly review · Quarterly audit · Roadmap

The smart toolchain

What our engineers ship with on day one

The same kit, on every project. Models routed per task, evals wired into CI, observability baked in. We pay for the tokens — you get the leverage.

Engineering copilots

CursorClaude CodeGitHub CopilotSourcegraph Cody

Paired engineering on every IDE.

Models in production

Claude Sonnet / OpusGPT-4o / o-seriesGemini 1.5 ProLlama 3Mistral

Routed per task by latency / cost / quality.

Orchestration & RAG

LangGraphLlamaIndexVercel AI SDKpgvector / Pinecone

Composable, testable agent pipelines.

Evals & observability

LangSmithBraintrustDatadogOpenTelemetry

Quality measured, not assumed.

Build & ship

Next.jsNode / PythonPostgresAWS · Vercel · Cloudflare

Boring foundations under sharp AI surfaces.

Design & PM

Figma + AI pluginsLinearNotion AILoom

Async-first, document-everything culture.

Why teams choose Cord4

The four things you'll feel inside the first sprint

These aren't taglines. They're the working principles every project gets staffed against.

AI-native by default, not bolted on

Our developers run agent-paired from the first commit. AI shows up in product strategy, design, code, tests, docs and ops — not as a marketing label.

End-to-end ownership

Discovery, design, build, ship, operate. One accountable team across the entire lifecycle — no relay handoffs, no finger-pointing.

Quality measured, not promised

Every release ships with coverage reports, model evals, accessibility scans and security checks. You see the same dashboards we do.

Built to compound

Boring foundations under sharp surfaces: typed code, infra-as-code, tested prompts, documented decisions. The system gets faster to change, not slower.

Recent work

A look inside what we've shipped

Products, dashboards and internal tools across e-commerce, operations and AI workflows.

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Services

Bring us the hard problem.

Tell us what you're trying to ship. We'll come back with a delivery shape, a team, and a first-sprint plan in 48 hours.

Fixed-scope deliveryFull code ownershipAI-powered speed
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