EasySpecs Labs
Four weeks with an EasySpecs coach inside your delivery loop.
Not a slide tour — an embedded engagement where we pair with your team daily to stand up factories, verification gates, and repo-native agent workflows that survive real merge volume and stakeholder pressure.
- €4,995 + €2,000/month
- Per embedded month
Business outcome
You exit month one with production-grade agentic engineering habits — factories versioned next to the code, deterministic gates, and a team that operates the floor instead of babysitting every chat thread.
What you leave with
- Four-week embedded coaching alongside your engineers, POs, and leads
- AI factory pattern implemented on your repository — production line and workstations
- Verification engineering and holdout scenarios so autonomous runs finish when checks pass
- Context packs, MCP wiring, sub-agents, and review rituals checked in as living artifacts
- Handover playbook and a clear path to extend embedded months at €2,000/month if you want us to stay
- Measurable before/after on review time, cycle time, or throughput — scoped in the proposal
Workshop curriculum
Four-week embedded arc
Discovery and architecture in week one, then progressive feature delivery with factories and verification gates until handover.
Phase 1
Week 1 — Discovery and architecture
Map your delivery loop, compliance constraints, and repo topology. Stand up the AI factory skeleton — production line, workstations, and first context packs versioned next to the code.
Phase 2
Weeks 2–3 — Progressive feature delivery
Pair daily on real backlog items: MCP wiring, sub-agents, holdout scenarios, and review rituals. Each feature ships through the factory with deterministic gates instead of ad-hoc chat threads.
Phase 3
Week 4 — Hardening and handover
Tune verification engineering, document the playbook, and measure before/after on review time or cycle time. Your team operates the floor; we scope optional extension months at €2,000/month.
Key metrics
- Investment: €4,995 onboarding + €2,000 per embedded month · scoped to your team size and stack
- Example: one embedded month ≈ €6,995 total (€4,995 + €2,000)
- Conservative payback: month 1 when factories replace manual rework loops
- Year 1 ROI (conservative): 5×–7× vs. engagement cost
When to use this program
When a workshop proved the concept but you need sustained implementation depth — complex codebase, regulated domain, or leadership mandate to ship agentic engineering in production this quarter.
Conservative ROI scenario
Month-one payback on a four-week embed
Conservative scenario: replacing even two engineer-weeks of manual rework and review firefighting per sprint across a six-person team covers a material share of the engagement in the first month — with 5×–7× Year 1 ROI when factories compound across backlogs.
Agentic Coding Coaching
Workshops are coached by senior EasySpecs practitioners — product, structured requirements, and platform architecture at the table with your team, not junior facilitators reading slides.
Xesca Alabart
Lead coach — product & requirements · CEO, EasySpecs
Xesca combines product leadership with requirements engineering, helping teams turn business intent into explicit objectives and acceptance signals agents can work against—not vague chat prompts. She facilitates mixed rooms of engineering, product, and design while keeping a sharp definition of what “done” means.
- Aligns engineering, product, and design without diluting technical depth
- Brings structured requirements practice into AI-assisted delivery
- Based in Barcelona; delivers in English, Spanish, or Catalan as needed
Carlos Guirao
Carlos Guirao Capistany
Lead coach — platform & agent workflows · CTO, EasySpecs
Carlos architects EasySpecs’ platform and AI systems with an emphasis on safe, reviewable change in mature codebases. He focuses on boundaries, APIs, and verification so agentic engineering produces diffs your team can trust—not opaque churn.
- Systems and integration architecture for complex products
- Hands-on with agent workflows, tools, and how they land in your repository
- Leads the technical spine behind Application Mapping and agent-ready context
FAQ
How is embedded implementation different from the custom immersion?
Immersion (€16,800) is a concentrated 3–4 day block with maximum live repo work. Embedded implementation spreads four weeks of pairing so habits survive daily delivery pressure and production incidents.
How does monthly pricing work?
€4,995 onboarding plus €2,000 for each month we embed inside your delivery cadence. Extend month by month — office hours, async review of factory changes, and help tuning gates as models and priorities shift.
Can we start with a workshop first?
Yes — most embedded clients ran the development team workshop or Control Plane at Scale first. We scope the embed against artifacts you already own in the repo.