Great Learning
Led a 150+ consultant sales organisation. $120,000+/month net-new revenue. Built go-to-market into LATAM and Africa from zero.
Provenance
Provenance
The evidence behind Amoris, and where it stops
44% of B2B buyers trust impartial third-party content over vendor claims. Amoris has no client references, which is an explicit red flag and should be weighed as one.
This page compensates the only honest way available: by listing what you can check without asking.
Independently checkable, right now
- intel-echo published on npmnpmjs.com/package/intel-echo ↗
- Source code, publicgithub.com/praveenshahi ↗
- Career recordlinkedin.com/in/praveenshahi13 ↗
Nothing on this page requires taking Praveen's word for it.
The operating record — before Amoris
Real, from Praveen Shahi's career. Always attributed to that period, never presented as an Amoris client outcome.
CrunchPrep
Scaled to ₹3.5 crore ARR. Built a 30-person team from nothing.
MsgKart
GTM 0→1 for an AI automation SaaS. Zero to first paying clients with no marketing spend. Built the SPIN/MEDDIC playbook for selling AI to non-technical buyers.
Ten years in sales and GTM operating roles. The dormant-cohort reactivation experience behind the current work comes from this period, in consumer contexts.
Built, not just specified
intel-echo
Published npm package. Audits an AI conversation for where the reasoning exceeded its mandate.
Conversational AI diagnostic app
React/Vite, Supabase, Gemini API, payments — shipped end to end.
Clawbot
Voice AI SDR on Bland.ai and ElevenLabs. Self-deployed on a VPS.
The Amoris reasoning core
LangGraph, FastAPI, OpenRouter, Tavily. Written by the same person who runs the engagements.
Most people selling AI GTM either sell it or build it. The person scoping your pilot is the person writing the code, so nothing is lost in a handoff and nothing is promised that cannot be built.
What Amoris does not have
Stated plainly, because burying it is what everyone else does.
- Completed client engagementsNone
- Case studiesNone
- Named clientsNone
- Measured reply rates, conversion rates, revenue recoveredNone
- EmployeesNone. Founder-led
- Incorporated entityNot incorporated
What is offered instead
Since results cannot be shown, the method is shown before any commitment.
| Instead of | You get |
|---|---|
| Case studies | The method, every stage with its exit condition defined |
| ROI claims | The full calculation model, including the holdout arithmetic |
| Testimonials | A free Opportunity Scan on your own data, yours to keep either way |
| “Trusted by” logos | A published list of what Amoris will not do |
An ROI claim without a visible calculation model is worthless. Publishing the model while having no numbers to report is the strongest available position: it can be judged on its own terms, before there is any result to argue about.
How to check this page
Open the three links above. Ask for the Scan and judge the document. Read the measurement method and decide whether you would trust that calculation if it produced a number in Amoris's favour. If the method doesn't hold up, don't engage — that is a better outcome than a pilot sold on a case study written to persuade.