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How the work happens. Four phases, on a loop.

No discovery decks. No status spreadsheets. No "we'll need another week to scope." A working system in production by the end of phase three, then a measured cadence of experiments in phase four.

/ PHASES 04 / FIRST DEPLOY WEEK 2 / MEDIAN TIME-TO-PROD 21 DAYS
PHASE 01 · WEEKS 1-2

Discover — map the system, find the leverage

We spend a focused week inside your codebase, your data, and your team. We come out with one document a developer can build from on Monday — not a sixty-slide deck with a thinking-faces emoji on every page.

01
Architecture audit

System map, service boundaries, hotspots, ownership gaps.

02
User & data flow

Every entry point traced to its persistence layer, with cost annotations.

03
Risk & cost envelope

Honest dollar & calendar bounds for the build. Including ours.

PHASE 02 · WEEK 3

Architect — pick the stack, draw the contracts

Stack chosen for the next two years, not the next demo. Typed contracts between every layer. The AI surface is designed in — not bolted on after launch by a different team using a different prompt template.

04
Data model + APIs

Schema, indexes, RLS, public & internal contracts.

05
Inference & retrieval

Model routing, eval surface, fallback ladder, cost ceiling.

06
Observability blueprint

Metrics, traces, logs, alerts, dashboards — before the build, not after.

PHASE 03 · WEEKS 4-N

Build — daily deploys, weekly review

A working preview by week 2, a working production system by week 3, a measured release cadence after that. Every PR ships behind a preview URL and a test suite. The demo is always the production system.

07
Weekly release cadence

Feature-flagged, observed, rolled forward or back without a meeting.

08
Continuous evals

Every AI surface ships with a held-out eval set that's checked in CI.

09
Founder review loop

Friday Loom + Monday async + on-demand call. No status meetings.

PHASE 04 · CONTINUOUS

Operate — SLOs, on-call, experiments

We don't disappear at launch. SLOs become contracts, on-call becomes a rotation, and a roadmap of measured experiments runs until the team is ready to take the wheel. Handoff is built into phase 02 — not improvised at the end.

10
On-call rotation

Paid, written runbooks, automatic escalation. Customers never page the founder.

11
Quarterly experiments

Stat-sig calling, no vanity metrics, results go straight into the changelog.

12
Handoff or stay

The decision is yours every quarter. The system runs the same either way.

// LIVE 004 — OPERATIONS REAL NUMBERS

The four phases, but on the same wall.

PHASE 01

Discover

Spec.md — one document a developer can build from on Monday.

PHASE 02

Architect

Stack, contracts, cost envelope. Boring choices on purpose.

PHASE 03

Build

Daily deploys behind flags. Weekly review on Friday.

PHASE 04

Operate

SLOs, on-call, experiments. Handoff or stay — your call.

~/ syberra · ops // LIVE
// 01 · discover $ syb scan --depth=full 14 services mapped 6 data sources ! 2 risk vectors flagged spec.md — 847 lines
// 02 · architect stack = {   edge: "cloudflare workers",   api: "go + grpc",   db: "postgres + pgvector",   ai: "modal / vllm", } cost: $1.4k/mo at MVP
Sprint 01100%
Sprint 02100%
Sprint 0384%
Sprint 0442%
deploys today: 14
// 04 · operate slo("api.p99") = < 240ms slo("uptime.30d") = 99.97% slo("eval.pass") = 0.94 // experiments this quarter retrieval rerank (+12%) cost-aware model router
OPEN FOR Q3 ENGAGEMENTS / 04 SLOTS REMAINING

Phase 01 starts with one email.

Tell us the rough shape. Inside 48 hours we'll come back with a one-page plan, a number, and a date.