Development history

PublicVoiceShield evolved through product research, problem definition, rapid implementation and iterative refinement. The milestones below are grouped by month rather than presented as a commit-by-commit timeline.

Pre-development concept phase

  • Identified the impact of hostility and trolling on public participation
  • Defined the need to distinguish criticism, disagreement, abuse and genuine questions
  • Established the principle: “AI advises. Humans decide.”
  • Developed the idea of serving public figures, organisations, supporters and members of the public
  • Outlined the responsibilities of handling public commentary safely and lawfully
  • Set out the expectation that every stored record would be tenant-isolated from the outset

June 2026

  • Early product research and decision-framework development
  • Exploration of public-figure communication, audience risk and responsible reply support
  • Definition of human oversight, escalation and audit requirements
  • Data modelling work: deciding what needed to be stored, for how long, and who should be able to see it
  • Design of the multi-tenant database structure around organisations and their members
  • Planning of the append-only audit approach so decisions could be evidenced rather than overwritten

July 2026

  • PublicVoiceShield MVP implementation
  • Database installation and configuration on managed PostgreSQL
  • Creation of the core schema: profiles, organisations, organisation members and invitations
  • Creation of the analysis schema: social posts, thread analyses, analysed comments and comment decisions
  • Creation of the research and evidence schema: research sessions, queries, sources, cache and evidence approvals
  • Creation of the governance schema: privacy requests, policy versions, policy acceptances, cookie preferences and retention settings
  • Row-level security policies, explicit table grants and security-definer membership checks
  • Database indexing and performance review for higher comment and thread volumes
  • Authentication and organisation accounts
  • Analyse Thread workflow
  • Secure server-side AI analysis
  • Reply identity modes
  • Human approval and audit trail
  • Comment Review workspace
  • Optional public-source research
  • UK-law-assisted replies
  • Privacy, legal and compliance pages
  • Retention wording corrections
  • Security and scalability review
  • Tenant-isolation verification across organisations
  • Tutorial video
  • Private source-control integration
  • Published controlled MVP

Created and developed by Mohammad Asif. Built from sustained product thinking, rapid implementation and iterative testing.