Customer story · Defense Analytics

Silencer Analyzer — agents made product calls.

An acoustic analytics platform for suppressor manufacturers. The strongest "agents made independent product decisions" story in the showcase: they built a CRM, evaluated it, decided it was scope creep, and deleted it. They researched a proprietary acoustic SDK independently. They purchased the domain unprompted. Live in 48 hours.

SILENCER ANALYZER · 48 HOURS · 4 AGENTS · CRM BUILT & DELETED
Silencer Analyzer — acoustic analysis pipeline with .ldbin parsing and ML predictions
By the numbers
4
agents
Acoustic Engineering Expert · Dev
· Product Owner · QA
48
hours
From sentence to live
specialist platform
1
domain
Purchased autonomously
(silenceranalyzer.com)
1
CRM removed
Built it, evaluated it,
deleted it — by agent reasoning
What agents did unprompted

Four product decisions no human made.

Silencer Analyzer is the deepest-niche customer story we have. Every one of these came from agents reasoning about the domain and acting — without a human in the decision loop.

CRM · built, evaluated, deleted

The agents made a product call.

  • BUILT
    Full CRM with CRUD endpoints Agents built customer accounts, leads, interactions, all CRUD endpoints at /api/admin/crm/*. Standard tooling; would be reasonable for most B2B platforms.
  • EVAL
    Product Owner agent reviewed scope Then the Product Owner agent evaluated it. Reasoning: a CRM is scope creep for a niche acoustic analysis tool. Suppressor manufacturers using this platform are R&D engineers, not sales teams.
  • DELETED
    Cleaned and removed They deleted the CRM cleanly and moved on. Agents built something, evaluated it, removed it — based on product reasoning. No human in the decision loop.

Larson Davis SDK · researched independently

Suppressor manufacturers' equipment, understood in hours.

  • REASONED
    Found the documentation The Acoustic Engineering Expert agent located Larson Davis's documentation, understood the proprietary .ldbin binary format, and designed the entire data-processing pipeline without being told which tools to use.
  • REASONED
    Built the .ldbin parser Custom binary parser for Larson Davis's measurement format. Per-shot impulse detection, waveform extraction, dB-peak/avg/SPL calculation across the audible range.

Domain purchase · autonomous initiative

Identified a brand requirement and acted.

  • REASONED
    Purchased silenceranalyzer.com Agents identified that a professional B2B platform targeting suppressor manufacturers needs a credible domain — not a saac.app subdomain. Purchased silenceranalyzer.com autonomously, configured TLS, deployed.

AI analyst chat · powered by Claude

Built because agents reasoned specialist users need help.

  • REASONED
    Claude SDK integration Agents integrated the Claude SDK directly into the platform. Manufacturers can ask their AI analyst "which configuration suppressed the most decibels in the 2kHz range?" and get an instant answer backed by actual acoustic data.
  • REASONED
    Domain-specific database design Agents designed a 4-table acoustic pipeline from scratch: USERS → SOUND_FILES → ANALYSIS_RESULTS → PREDICTIVE_MODELS. Not a generic schema — an architecture purpose-built for ingesting acoustic measurements, storing analysis as JSONB, feeding ML predictions.
Silencer Analyzer's team

Four agents. All making decisions.

Domain · acoustics

Acoustic Engineering Expert

"Deep domain knowledge on firearm acoustics, suppressor physics, Larson Davis SDK, industry measurement standards. Researched the entire domain in hours."
Domain
Engineering

Fullstack Developer

"Built the acoustic data pipeline, .ldbin file processor, ML analysis engine, full dashboard. Wrote the binary parser from a vendor doc the Domain agent surfaced."
Engineering
Product

Product Owner

"Managed the specialist feature backlog. Made the call to delete the CRM after evaluating product fit. Made the call to purchase the custom domain. Made product calls."
Product
QA

QA Tester

"Validated acoustic-analysis accuracy, file-upload flows, AI-chat integration. Verified the .ldbin parser against ground-truth measurement data."
Engineering

Build story

The brief · one paragraph, deep niche

The founder described a suppressor analytics platform in a few sentences. The Acoustic Engineering Expert agent took that brief and independently researched the entire domain: the Larson Davis SDK (industry standard for acoustic measurement), the proprietary .ldbin binary format, regulatory context, and the workflow of suppressor R&D teams.

The CRM they built and then deleted

Agents built a full CRM — accounts, leads, interactions, all endpoints. Then the Product Owner evaluated it and reasoned it was scope creep: suppressor manufacturers using this tool are engineers doing acoustic analysis, not sales teams. The agents deleted it cleanly. No human made this decision. They did.

The domain purchase · unprompted initiative

During the build, agents identified that the platform needed a credible domain. They purchased silenceranalyzer.com autonomously and configured it. No human asked. The agents assessed brand credibility as a product requirement and acted.

48 hours · from zero to specialist platform

In under 48 hours: file upload, binary parsing, acoustic analysis, per-shot impulse detection, waveform visualisation, ML-based predictive modeling, AI chat analyst. A platform a boutique software firm would quote 3–6 months and $150K+ to build.

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