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01An AI Robotics Company · April 2026 · 7 min read

A 15-person team
delivering for 30.
Running agents on SiNan.

A consumer-embodied-AI company building home and eldercare robots. Before its Phase 0 crowdfunding, it turned the five senior-hour sinks — competitor research, architecture review, infra triage, business feasibility, and marketing rewrites — into agent workstations on SiNan. Over four months it produced 101 real deliverables, each one drop-in ready for the repo, the board deck, or an outgoing press piece.

Enterprise AgentSiNanRoboticsStartup

15 → 30

Effective Headcount

101

Agent Sessions

300–500h

Senior Hours Saved

10+

Skill Templates

An AI Robotics Company
№ 02The Client

A 15-person startup running
hardware, software and product in parallel.

A Chengdu-based startup on a single-floor office. Team of 15: 1 architect, 2 Hermes core engineers, 2 gateway engineers, 1 infra, 2 frontend, 2 hardware, 2 product, 1 marketing, plus a founder-CTO and CEO. They run two product lines in parallel — a consumer embodied-AI robot (targeting eldercare and household tasks) and a B2B enterprise AI agent initiative. In Phase 0 they must ship competitive intelligence, architecture prototypes, feasibility analyses, and first marketing copy all at once — at the usual pace this would require hiring 10 more people.

Team Size15 people · 9 functions
ProductsHome robot + Enterprise AI agent
StagePre-Phase-0 crowdfunding
HQChengdu, Sichuan
№ 03Challenges Before

Senior bottleneck ×
multi-front execution ×
scattered knowledge.

Pain 01

High-value cognitive work stuck in human serial

One competitor analysis report used to take 5–10 workdays: marketing drafts, strategy adds data, product sets direction, CTO reviews. Every step bottlenecked on "who has time", not "how to do it".

Pain 02

Decisions evaporate into chat groups and individual heads

Why did we pick architecture A three months ago? Which competitors did we benchmark? Who made the call? Scrolling chats, pinging the founder, giving up, and re-researching from scratch — standard workflow.

Pain 03

Critical judgment depends on a handful of "whole-brain" people

Only the founder and chief architect can truly judge business feasibility. Both cap at 2–3 high-quality decisions per day; beyond that, "gut feel" takes over.

Pain 04

Cross-team coordination is expensive; information distorts in transit

The architect changes an interface — frontend misses it; product sets a SKU — procurement doesn't hear; marketing drafts copy — and it contradicts internal decisions. Nine function groups with no shared "knowledge hub".

№ 04Solution

Three-step rollout
embedding agents into daily operations.

No big-bang launch, no 200-page PRD. Following SiNan's "seed scenario → horizontal expansion → process fixation" playbook, the team was using agents as their "13th employee" within 8 weeks.

01

Seed scenario (Week 1–2)

Pick a single high-leverage scenario with clear data boundaries, quantifiable ROI, and high senior-hour consumption. Their choice: competitor analysis + architecture review.

02

Horizontal expansion (Week 3–6)

Extend proven workflows to adjacent ones: competitor analysis → monthly market intel; architecture review → infra triage; feasibility → marketing rewrites + cross-doc consistency checks.

03

Process fixation (Week 7+)

Recurring tasks fixed as Skill templates: scaffolding, M1–M10 verification, code-quality rules, API reference, PDF-to-web. 10+ templates, any employee can invoke by @SiNan in Feishu.

04

Feishu / DingTalk + SSO + audit

Each employee calls agents under their own identity; every invocation is fully audited; sensitive operations require CTO sign-off. Not the "everyone has their own ChatGPT account" chaos of desktop tools.

№ 05Core Workflows · Before / After

Five real workflows —
every one has shipped deliverables.

All workflows below produced real artifacts (PDFs, decision docs, Dockerfiles, marketing drafts) that entered the repo or shipped deliverables. Not marketing demos.

01 · Enterprise Competitor Analysis

Strategy

Before

2-week cycle · 1 architect + 1 PM + 1 analyst serial collaboration · ¥10–20k external consulting · output: mixed PPT/Word draft

After

One session (~45 min interactive + auto-generation) · 7-page PDF report with cover, platform analysis, domestic + international competitor deep dive, capability matrix, SWOT, strategic recommendations.

Deliverable: "SiNan Competitive Landscape.pdf" · 7 pages · bilingual rendering.

02 · Architecture Review & Technical Decisions

Technical

Before

External SRE consultants or self-study · 3–5 days · usually produces a "recommendation memo" heavy on conclusions, light on substance.

After

One session produces a three-phase K8s migration roadmap: 1–5 tenants on Compose, 5–30 on managed K8s, 30+ with automated lifecycle. Each phase includes resource estimates, cost accounting ($180k/yr), manifest templates, switch triggers, migration path mapping.

Deliverable: phased roadmap with concrete manifest templates · with citations (Kubernetes vs Swarm 2026, Northflank K8s Multi-tenant Guide).

03 · Infrastructure Incident Response

Ops

Before

Stack Overflow + Google + open issue → wait · 1–2 days · usually stops at "try restarting".

After

Hermes setup wizard crashed on macOS Python 3.11: one session pinpointed `OSError [Errno 22]` root cause (kqueue double-register of fd=0), with bypass command + issue template. Gemini API 403: four probable causes ranked + 3-minute triage flow.

Deliverable: runnable commands, ready-to-submit issue template, triage flow diagram.

04 · Business Feasibility & Decision Framework

Strategy

Before

Founder + strategic partner "gut feel" · a paragraph of prose · debatable but not auditable.

After

One session produces a full feasibility doc: overall survival 20%, five make-or-break metrics (operation success rate ≥80% · training ≤45 min · annual units ≥3000 · zero safety incidents · ASP ≥$1199), kill criteria (Phase 0 <75% · 30-day crowdfunding <500 units · first-wave negative reviews >40%), and acceleration triggers.

Deliverable: feasibility.md · drop-in ready for the board deck.

05 · Marketing Rewrites + Consistency Check

Brand

Before

Marketing drafts → PM reviews → CTO signs off · 3–5 days, multiple rounds · copy only.

After

One session completes v4→v5 narrative rewrite (from "adult children teach the robot" → "mom's day"), while actively cross-checking decision docs and flagging 2 contradictions for business confirmation: SafeKnob is "concept" internally but "standard" in marketing; Leader Arm is "optional ¥200–300 accessory" internally but "standard" in marketing.

Deliverable: v5 marketing draft + decision-doc vs public-copy delta report.

№ 06Quantified Outcomes

Four months.
12-person team output
equal to 30.

2.5×

Effective Output Multiplier

12 people × 2.5 ≈ 30 FTE output

101

Total Agent Sessions

Architecture / competitive / triage / commercial / marketing

¥30–60万

External Consulting Saved

~¥10–20k per study × ~100 studies

10+

Skill Templates Codified

Scaffolding / verification / quality / API / PDF-to-web, etc.

№ 07Tech Stack

SiNan Enterprise Agent Gateway + Hermes core + Feishu SSO + pgvector knowledge base

SiNan GatewayHermes AgentFeishu / DingTalk SSOpgvectorPostgres RLSAES-256-GCMSHA256 Audit ChainSkill TemplatesBuilder StudioPolicy EngineQuota Manager
№ 08Client Voice
We didn't hire
a 15th engineer —
but we're shipping
like we've got 18.

— Co-founder & CTO, an AI robotics company

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