Making Dumb Phones Smart: Leveraging LLMs via SMS for Poverty-Affected Areas Idea

People in poverty-affected areas lack experts in useful domains e.g. medical care, education, entrepreneurship
New LLM solutions target smartphone users as a usage medium
1.4 Billion people only have basic phones without smartphones

SMS cost is very high - $0.0035 per message in India https://www.textlocal.in/bulk-sms-pricing-india/

Scale: 1.4 Billion people

Impact: Depends on the intervention

Neglected: No one is doing this yet

Cost-effectiveness: Depends on intervention

Complete implementation sections with experts.
Make a much more detailed and complete theory of change, including adding requirements for each and justifying each causal connection along with a probability.
Provide many more citations and justification for claims.
Look at issues of similar interventions.
Model micro-system dynamics, identify weak points, and visualize.

This is an early idea, not a detailed report.
I lack experience and expertise in economics, intervention design, intervention implementation, behavioral science, operations, etc.
I am biased towards tech-powered solutions.
It lacks the rigor that interventions with months-long deep research have.
Lack of specificity in intervention—consideration of a specific intervention requires deeper domain knowledge of systems and alternative interventions.
It needs more evidence, research, deeper TOC with evidence and probabilities for outcome-transitions, planning, deeper cost-effectiveness analysis, benefit quantification per intervention, and alternate intervention comparison.
I used o1 and Sonnet 3.5 to improve it.

Detailed Proposal