For energy, utility, and industrial teams in Northern Nevada

Build an AI-fluent team in Reno.

On-site AI training in Reno, Sparks, and across Northern Nevada. A clear path from your team’s first prompts, to engineers shipping with Claude Code, to builders running their own agents — taught in your conference room, not over Zoom.

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What’s Possible

Every person on your team using AI to do their existing work faster and better. Engineers and analysts shipping with AI in the loop, with security and quality baked in. A small group of builders inside your company creating agents that handle real, repeatable work — on a platform your team owns.

The training path below moves a team from curiosity to capability in three phases. Each phase stands on its own, and most teams spend real time in each before moving to the next.

The Training Path

Three Phases

A practical curriculum that meets each person where they are.

Phase 1

AI Foundations & Daily Productivity

For everyone on the team.

Goal: Confident, daily use of AI to do the work your team is already doing — faster, cleaner, and with less drudgery.

A grounded intro to modern AI followed by hands-on work in the tools your team already pays for. Curriculum aligned to the same domains used by industry-standard AI practitioner certifications, so what your team learns transfers anywhere.

  • What is an LLM? Plain-language intro to generative AI model families, common use cases (text, code, content), and how to think about cloud vs. local hosting trade-offs.
  • Context windows, tokens, and model choice. Why some prompts work and others don’t, and how to pick the right model for the job (reasoning, multimodal, fast).
  • Prompt engineering basics. Roles, instructions, constraints, few-shot and chained prompting — the patterns every daily user should know.
  • Daily productivity in Excel, Word, PowerPoint, and email. Drafting, summarizing, formatting, formula help, slide outlines, inbox triage, meeting notes.
  • Document and data analysis. Reading reports, comparing versions, pulling structured data out of messy inputs, AI-assisted exploratory analysis.
  • Working safely. Spotting hallucinations, defensive prompting, awareness of prompt injection, what data should and shouldn’t go into a prompt.
  • Reusable prompt patterns. Each attendee leaves with saved prompts they’ll use the next morning.
Phase 2

Power Users & Engineering Excellence

For engineers, analysts, and technical leads.

Goal: AI across the software development lifecycle, done well — with security, quality, and an internal Center of Excellence that makes it easy for the rest of the team to follow.

This is where AI moves from a chat window into the way real work gets shipped. Spec-Driven Development with Claude Code, hardened pipelines, and the documentation and standards that let your power users multiply their impact across the company.

  • Spec-Driven Development with Claude Code. Writing specs and plans the model can execute against, reviewing AI-written code, and shipping faster without losing quality.
  • AI across the SDLC. Requirements, prototyping, implementation, testing, and deployment — where AI helps and where it gets in the way.
  • Code quality with AI. Debugging assistance, error handling, documentation, and review patterns that catch what the model misses.
  • Token, context, and cost management. How context-window strategy affects cost, latency, and output quality — for prototypes and production alike.
  • Retrieval Augmented Generation (RAG). Embeddings, vector databases, and grounding AI on your company’s own documents and data.
  • Security, data-handling, and governance. What goes where, vendor evaluation, secrets and PII, IP considerations, and the policy work that makes AI safe to scale.
  • Building a Center of Excellence. Internal documentation, prompt libraries, reusable patterns, and the people inside your company who become the go-to for AI questions.
Phase 3

Building Agents

For builders ready to compound AI across their work.

Goal: People inside your company building their own agents on a centralized platform — agents that do real, repeatable work alongside the team.

Once foundations and engineering practices are in place, a small group is ready to build. We cover what an agent actually is, how it’s different from a chatbot, and how to build personal and company agents on a shared, governed workflow system.

  • Agentic AI vs. generative AI. What changes when a model can take actions, use tools, and run multi-step work — and when an agent is the wrong answer.
  • Agent design principles. Autonomy, planning, orchestration, and the patterns that separate reliable agents from demos that look good once.
  • Personal agents. Lightweight agents for individual workflows: research, drafting, monitoring, summarizing.
  • Company agents. Shared agents that handle real business processes — with the right humans in the right loops.
  • Model Context Protocol (MCP). The emerging standard for connecting agents to tools and data, and how to use it well.
  • Human-in-the-loop strategies. Where humans must stay in the loop, how to design clean handoffs, and how to escalate gracefully.
  • A centralized agent platform. A single place builders create, run, and govern agents — with evaluation and observability built in — instead of one-off scripts scattered everywhere.

The Cadence

An On-Site Rhythm That Sticks

Adoption happens between the sessions. The schedule is built so momentum never has to restart.

2×

Twice-Weekly Sessions

1–2 hours each, on-site.

Small-cohort training in your conference room. Short enough to fit between operational priorities, frequent enough that the material compounds. Sessions are hands-on — everyone leaves having done the thing, not just heard about it.

↻

Biweekly Office Hours

Drop-in, real work.

Every other week, a standing on-site slot where anyone can bring actual work and get help. This is where the prompts from training turn into habits, and where the questions that didn’t come up in a workshop finally get answered.

◎

Local, Not Flying In

Reno-based.

Sessions, office hours, and coffee chats happen in person across Reno, Sparks, and Carson City. Between sessions I’m a text or call away — not waiting for the next plane.

Virtual sessions and recorded workshops are available for distributed teams, field staff on rotation, and shift workers who can’t make the in-person slot.

Working Plans by Function

Every department uses AI differently. After discovery, each team gets its own rollout plan — what they learn first, what tools they use, and what good looks like for them.

Engineering & Technical

Heavy in Phase 2: Spec-Driven Development with Claude Code, AI in the SDLC, code quality, security guidelines, RAG over internal docs, and the foundation of the Center of Excellence.

Operations & Field Teams

Phase 1, applied. Field-report cleanup, document Q&A on technical references, AI-assisted analysis of logs and instrument data, mobile-friendly workflows for crews on rotation.

Analysts & Data

Phase 1 + the Phase 2 modules they need: AI-assisted exploratory analysis, structured extraction from messy documents, building reusable analysis templates, and grounding outputs in the right source data.

Back-Office & Admin

Phase 1, deep. Email and inbox triage, meeting notes, drafting and editing, document review, slide and report generation — the daily-driver workflows that free up hours every week.

Leadership

Executive briefings, strategy sessions, and a clear view of where AI is moving the needle inside your own walls. Plus the governance and security framing leaders need to sponsor the rollout with confidence.

Builders & Champions

The Phase 3 cohort. People inside your company building personal and company agents on a centralized platform — with mentorship, code review, and a path from first agent to production.

How an Engagement Works

Same approach as the rest of my work: scoped, transparent, no surprises.

1

Discovery

Free 20-minute call, then a paid half-day on-site to meet leaders and a sample of staff from each function. I leave with the working plans for each team and a recommended cadence.

2

Rollout Quarter

One quarter. Twice-weekly sessions and biweekly office hours through Phase 1, with the function-specific working plans guiding what each team focuses on. Identify the Phase 2 power users along the way.

3

Scale

Roll out the Phase 1 cadence to more teams, run Phase 2 with your power users to stand up the Center of Excellence, and start Phase 3 with the builders ready to ship agents. I shift toward mentorship as your internal people own more of the program.

Investment

Two units, because they are two different things. Delivery is a session or a day built for a group, and it is priced per session or per day because most of the work happens before the room fills. Support is my time one-to-one, priced by the hour.

Delivery — Sessions

Single Session

$1,200

One 1–2 hour on-site session for your cohort. Prep call, hands-on training, and written follow-up included. No commitment.

5-Session Pack

$5,000 · save 17%

Five sessions to use over 4–6 weeks. Covers an introductory run through Phase 1 foundations, or one focused track for a single team.

10-Session Pack

$9,000 · save 25%

Ten sessions plus two on-site office-hours days. Five weeks of twice-weekly cadence — the easiest way to feel what a full rollout would look like before committing to a quarter.

Delivery — Days & Cohorts

On-Site Day

$2,500/day

Half-day or full-day intensive for kickoffs, executive briefings, or single-topic deep dives. The rate includes preparation and the written material people keep.

Four-Day Cohort

$10,000 · + $6,000 curriculum

Four delivery days at the day rate, plus a one-time curriculum fee for material built around your tools and your use cases rather than pulled off a shelf. The curriculum is yours to reuse.

Support & Advisory

Support Hours

$3,000 · block of 10 · $300/hr

Drawn down as needed, no expiry inside the term. Office hours, a second opinion before you commit a team to an idea, or help getting a build over the line. Separate from delivery, so an on-site day does not consume block hours.

Single Hours

$350/hr

Outside a block, one-hour minimum. Fine for occasional questions; the block is better value the moment you need more than a handful.

Programs

Rollout Quarter

From $20,000

One quarter, one or more functions. Twice-weekly sessions, biweekly office hours, working plans for each function, and a measured rollout playbook. Most run $20K–$45K depending on cohort size and how many functions get their own working plan. Mid-market firms typically charge $50K+ for the same scope.

Ongoing Partnership

$4,000–$6,000/mo

Monthly retainer: ongoing training, office hours, and Center of Excellence support. Pairs naturally with the Workflow Automation retainer if you want builds included.

Every engagement starts with a free 20-minute call and a written scope before any work begins. You’ll always know the price. Building and deploying an agent into a live production system is a separate project, scoped when something is ready for that step.

Let’s Talk

Tell me about your team, the AI tools you’re already using, and where you want to go. Free 20-minute call.

Book a Free 20-Minute Call

or reach me directly

hello@sierracodeco.com

(775) 393-9865

Based in Reno, Nevada. On-site across Northern Nevada and remote everywhere else.