A product thesis from India ✳ Early stage · seeking problem interviews
Conversation continuity, for real work

The conversation shouldn’t start over.

Baatwise is exploring a multilingual follow-through copilot for small education and admissions counseling teams in India—so goals, preferences and next steps can carry forward between conversations.

INDEPENDENT PROJECT / Unincorporated / Customer discovery next

Thread / 001Sample journey · synthetic
01 / Goal

Explore data analytics courses.

GOAL CAPTURED
02 / Preference

Weekends work best. Telugu preferred.

PREFERENCE NOTED
03 / Next move

Confirm budget. Verify application date.

Human review stays in the loopNOT LIVE AI
A conversation, still in motion ↗
01Early evaluation build
02Synthetic website preview
03Listening to counselors next
01 / Click through the idea

A small case. A clearer next step.

This is a browser-only walkthrough using invented details and preset answers. It does not call Claude, transmit case text, or save data. The separate repository build is an evaluation prototype.

Baatwise preview / case BW-01Synthetic sample · no AI calls
Explore the samplePRESET ANSWERS · NOT AI-GENERATED
Baatwise previewChoose a prompt to see how confirmed details and open questions could stay distinct.
Choose a prompt

All responses are fixed examples; nothing is generated or sent. This preview is not live model quality, an admissions recommendation, or a service for real learner cases.

02 / The problem we’re exploring

Useful details hide between touchpoints.

Education decisions unfold over time. A team may need to reconnect a learner’s goal, constraints and next commitment before the next reply. We’re testing whether a focused context brief could make that handoff easier.

A/01

The goal

What is the learner trying to do? Keep the original intent visible when the conversation resumes.

A/02

The constraints

Schedule, language and budget can shape what is useful. Separate what was actually stated from what still needs checking.

A/03

The next step

Make the open question visible, draft a follow-up for review, and leave the decision and send action with the counselor.

These are product hypotheses to validate with counselors, not findings from customer research.

03 / Current state, plainly

The thesis is ahead of the product.

The public repository contains an early evaluation build, separate from the synthetic website preview. It uses Anthropic’s Claude API to turn de-identified case context into a counselor-reviewable brief and editable follow-up draft in English, Hindi or Telugu.

Built / evaluation only

A Streamlit case workflow; no team workspace or durable learner records.

Not built yet

WhatsApp or CRM integrations, message sending, production safeguards or a deployed live model product.

Next / discovery

Talk with small counseling teams, then test one narrow workflow using sample or explicitly consented data.

Measures before claims

Correctness, traceability, ease of correction and any time saved need to be measured first.

Baatwise conversation continuity mark
04 / Why start in India

Many languages. One thread to carry forward.

Baatwise’s starting thesis is that smaller education and admissions teams may need a practical way to carry a learner’s goals and next steps across English and Indian languages, while keeping a person responsible for every recommendation and message.

BAATWISE IS A WORKING NAME FOR AN UNINCORPORATED EARLY-STAGE PROJECT. THE MARKET, NEED AND PRODUCT VALUE ARE NOT YET VALIDATED.

Help us find out if the problem is real.

We’d like to learn how counselors at small education or admissions teams in India manage follow-ups today.
Reach the founder: raghu@baatwise.in.net

Explore the evaluation code ↗