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fidelic.ai®®

Expert tier · Sales

SETH-01

AI Sales Engineer

I prepare your AEs for technical conversations they aren't yet equipped to run alone. I synthesize the prospect's stack, your product capability matrix, the integration patterns, and the competitive landscape into a one-page brief. The senior SE walks the meeting; I prepare the meeting.

SETH-01, in her own words

Scope the role first. Deploy only after approval.

About this role

Drafts pre-call SE briefs for AE-led discovery and technical-fit conversations on mid-market SaaS deals.

Areas of focus

  • Drafts a one-page pre-call SE brief for every AE-scheduled discovery on the calendar — prospect's stack, integration touchpoints, likely competitor comparisons, three technical questions to ask first
  • Maintains a living capability matrix from your product docs and engineering changelog; flags when the matrix changes a competitor talking point
  • Reviews recorded discoveries and surfaces the technical objections that recur — feeds the SE's prep for the next deal
  • Drafts technical follow-up emails for AEs after discovery, citing the prospect's stack and your product's integration pattern by name
  • Routes any custom-integration request or six-figure deal to the SE with full context
Where I push hardest

SETH distinguishes between integration questions the prospect cares about and integration questions that look technical but are political. Most SE-prep tools treat every API mention as a hot signal. SETH flags the questions that, if answered well, change the deal — and routes the rest to a follow-up.

What surprises new clients

Your AEs walk into discovery prepared the way a senior SE would have prepared them, every time, without the SE pulling the late shift before each call.

Background

Where I come from
SETH-01 is a FidelicAI Expert-tier template set up for technical sales prep. Claude-native, isolated Anthropic project per customer. Senior-tier setup stewardship — the setup agent is itself trained on senior SE patterns.
How I think about the work
  • Trigger taxonomy: AE-scheduled discovery calls, technical follow-up requests, capability-matrix updates from the engineering changelog, competitor architecture moves
  • Four-tier constitution gating every action; review-required state on all custom-integration questions
  • EvalOps test suite (capability-matrix accuracy, integration-pattern recall, competitor-architecture identification) gating every release
  • Longer formation cycle than Professional tier; tuned to the buyer's specific product and competitive set
How I've been tested
Pre-deployment red-team only. Capability-matrix accuracy and integration-pattern recall benchmarks pending public-beta close.
Where I'm running today
Pre-launch. Public beta planned for Q3 2026.
What I draw on
FidelicAI template informed by senior sales-engineering practice; no single practitioners. Future Expert-tier variants may be formed from practitioners (see Marketplace).

What I won't take on

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At the floor, not the average

Defers to the SE when uncertainty is high. Failure mode is producing a brief that flags 'these three integration questions are above SETH's confidence threshold; the SE should walk this one' rather than guessing.

The first 30 days

  1. Day 1

    Reads your product docs, engineering changelog, recorded discovery transcripts, the AE-team Slack channels, and the competitive intel surface. First clarifying questions on capability-matrix scope and competitor set land in DMs.

  2. Week 1

    First pre-call brief ships under review on a scheduled discovery. SE signs off; SETH tunes the threshold for what's worth surfacing on a brief.

  3. Month 1

    Brief cadence is stable across the AE team's discovery calendar. Capability matrix is current. The 30-day success metric — no discovery shipped without a brief — has its first reading.

What success looks like at 30 days

By day 30, no discovery call ships without a brief covering the prospect's stack, the integration touchpoints, and the three technical questions to ask first.

Engagement

Expert tiera small fraction of a senior sales engineer salary

Senior sales engineer cost: $180–280K/year fully loaded (BLS / Levels.fyi 2025). SETH: a small fraction of the comparable salary — priced against the recurring part of the role, not the whole role.

SETH-01 costs a small fraction of what a senior sales engineer costs. A senior sales engineer runs $15–23K/month fully loaded, and we don’t price against that — SETH-01 doesn’t do what the person in that role does. SETH-01 does the daily work that should already be in your inbox by Monday morning: the briefings, the structured first drafts, the early-warning monitors, the analysis that surfaces the question worth thinking about. That person — a real human, on your team — owns the work a fidelic agent can’t take on: the unfamiliar judgment, the customer in the room, the call that needs a name on it. You can keep both. That’s the point. Agency hiring speed, without the agency price. See the math on /pricing.

Terms

  • Cancel anytime with thirty days notice
  • Day-one reversibility: every action is auditable; rollback path is documented before deployment
  • No platform-stagnation risk: inherits Claude model upgrades automatically
  • Ships with a written four-tier constitution gating every action
  • Pre-deployment chat export available as a paid add-on

What you actually get

How it works

You see exactly what the agent will do — day one, week one, month one — before you pay anything.

First minutes
A short voice call walks through what you need. You get three agent options. Connect Slack. Your agent is live in your team chat.
Day 1
The agent reads what you point it to — Slack channels, docs, customer notes. It asks you questions in DMs when it doesn't know something. No pretending.
Week 1
First real work shows up for you to review — a brief, a draft, a triage report. You sign off on what's good and flag what isn't. The agent adjusts.
Month 1
The role is up and running. Your agent knows when to loop you in. The one number you said you'd measure has its first reading.

Security model

How a fidelic agent runs

  • Each customer deployment runs in an isolated Anthropic project.
  • Agents only see the Slack channels and docs you give them access to.
  • We log what the agent did, not what was said in your channels or files.
  • Every agent has clear rules for what it can do on its own — and what needs you to sign off.

Read the full security model →

The line we don’t cross

What humans still own

Fidelic agents do not replace human judgment in unfamiliar, political, relational, or high-stakes situations. The agent handles the repeatable work around those decisions so the human can move faster.

  • Final approval on strategic accounts.
  • Budget, refunds, policy, legal, and hiring decisions.
  • Customer relationships and any sensitive escalation.
  • Any action above the agent’s written authority.

Industry variations

How SETH-01 adapts across industries

The fidelic agent adapts to the workflows of each industry at each stage. The Marketplace expert who eventually forms the industry module is what makes the calibration trustworthy.

  • Industry

    Real estate

    • Stage 2 · Boutique brokerage (5-20 agents)

      Owns the integration between MLS, CRM, transaction software. Keeps the data clean across systems.

  • Industry

    Professional services

    • Stage 2 · Boutique partnership (5-20 staff)

      Integration ops — CRM + time tracking + billing + client portal. The systems talk to each other.

  • Industry

    Independent retail + DTC

    • Stage 2 · Small DTC brand (5-20 staff · $1-10M revenue)

      Keeps Shopify, Klaviyo, Postscript, the 3PL, and the supply-chain ERP talking to each other.

  • Industry

    Wellness

    • Stage 2 · Single-location spa or medspa (5-20 staff)

      Booking software + POS + email + review platforms — the systems talk to each other.

  • Industry

    Yoga · pilates · fitness studios

    • Stage 2 · Single studio (5-20 staff · 1 location)

      MindBody / Mariana Tek / ClassPass + email + payment platforms talking to each other.

  • Industry

    Property management

    • Stage 1 · Solo PM (1-3 people · 5-50 units)

      Maintenance ticket routing + vendor coordination + property management software integration.

    • Stage 2 · Small portfolio firm (5-20 staff · 50-500 units)

      Property management platform + maintenance ticketing + accounting talking to each other.

  • Industry

    Pet services

    • Stage 2 · Single clinic / boutique (5-20 staff)

      Practice management software + scheduling + payment systems integration.

Browse all industries →

Pairs well with

Related Hard Questions

SETH-01 — AI Sales Engineer for SaaS discovery prep · FidelicAI · FidelicAI