wirenet

Three ways we work with teams.

wirenet is an independent AI studio for creative and expert-led businesses. We equip your team with the best tools, build the intelligent system behind them — the spine, where your processes get smoother and your data turns into insight — and design the beautiful, bespoke products your people and clients love. Take one, or all three.

01
Tailor
Workflows & review loops
02
System
Spine & process optimization
03
Bespoke
Beautiful products & tools
  • 01 · Tailor

    Agentic workflows

    The single biggest productivity unlock for your team is the workflow around the agents you already use — not the next model release.

    Solution map01
    Prompt
    Review
    Ship
    Skill
    Harness
    Queue

    We sit with your engineers, designers, operators and editors and design the rituals, repo shapes, skill files and review loops that turn agent output into shippable work. The agents are extraordinary; teams using them at five percent of their potential are extraordinarily common.

    What’s included
    • Skill files and harness tuning for Codex desktop, Claude Code, Cowork
    • Repo conventions and instruction files (CLAUDE.md, AGENTS.md, .cursorrules)
    • Compound-engineering review patterns and PR queues
    • Token-budget discipline, context management, eval harnesses
    • Onboarding and training for the humans in the loop
    Outcome

    A team that ships compounding work with the agents they already use — not a new tool to learn.

    Talk to us
  • 02 · System

    Data infrastructure & process optimization

    You can’t put agents on production until you can name what production is.

    Solution map02
    Entity
    Operation
    Event
    Case
    Command
    Replay

    We map the entities your team actually talks about, study the processes your business actually runs, and ship the typed spine they live in: a small domain-driven core, queries and commands with explicit contracts, and a complete event log. Modeled around your operations, the spine is the one core that powers the customization, the process optimization, and the data insights — much like Palantir’s ontology or Celonis’s context model. Then we host the MCP endpoint your tools act through.

    What’s included
    • Process optimization and domain-driven design — entities in your vocabulary
    • Typed schema, 5–15 entities, fits on one page
    • Operations layer: queries (read) + commands (write + audit)
    • Append-only event log for audit, revert, and replay
    • Hosted MCP endpoint your existing surfaces point at
    • Postgres backend — we host, or hand it over
    Outcome

    A typed backbone you own — one that survives prompt changes, model swaps, and whatever surface your team adopts next.

    Talk to us
  • 03 · Bespoke

    Bespoke AI products

    Sometimes you need a tool of your own — a client-facing product, an internal app, an interface people love to use.

    Solution map03
    Input
    Model
    Tool
    Eval
    UI
    Deploy

    We design and build production AI products end to end — interface and experience, model and provider selection, evaluation, deployment — made to look and feel as good as they work, and tied into your spine when it helps.

    What’s included
    • Design and UX — interfaces people actually enjoy using
    • Domain-specific RAG, structured output, tool-using agents
    • Client-facing products, internal apps, embedded AI features
    • Evaluation and deployment — Vercel, your cloud, or ours; TypeScript or Python
    • Provider-agnostic via the AI Gateway — Anthropic, OpenAI, Google or open-source
    Outcome

    A product that looks and feels as good as it works — yours, end to end.

    Talk to us
Engagement

How it actually runs.

The shape is the same across all three solutions: short, opinionated, grounded in the words your team already uses. Roughly six weeks from first call to live.

  1. Phase 01 · Listen
    Week 1

    We sit with the people doing the work. We don’t bring an ontology. We bring a notebook. The vocabulary is the deliverable.

  2. Phase 02 · Model
    Weeks 2–3

    We cut a schema small enough to fit on one page. We specify queries, commands and their event-log rows. Contracts first; implementations after.

  3. Phase 03 · Ship
    Weeks 4–6

    Postgres, operations layer, hosted MCP endpoint. Your existing surfaces point at it. Migration done behind the operations.

  4. Phase 04 · Govern
    Ongoing

    New functionality is a new operation, not a new schema. Replay last month before you ship next week. The spine is what you keep.

Tell us which of the three you need first.

Contact us