A. Set the target: not “general autonomy,” but “controlled Level 3”

For AIA’s context (courses, workshops, community, external comms, knowledge organization), the realistic and valuable goal is:

• Level 2 → Level 3: agentic workflows that run an end‑to‑end chain (collect → organize → draft → human review → publish/archive).
• Any external sending/publishing/uploading is human‑approved by default (human‑in‑the‑loop).

B. Five project ideas you can start now (tools, data, governance)

Project 1 | NGO invitation‑drafting agent

• Value: produce high‑quality invitations, agendas, FAQs; adapt to NGO type and tone while staying aligned with AIA’s civic AI literacy program.
• Action: template library (Docs/Notion/Drive), generate drafts and shareable links/PDFs.
• Reasoning: “pause‑and‑check” for over‑promising, sensitive commitments, and alignment with program goals.
• Memory: store org preferences (tone, length, naming, previous collaboration points) with export/delete controls.
• Governance: never auto‑send; always output draft + diff vs last version.

Project 2 | Video/transcript → structured notes → NotebookLM uploader

• Value: turn recordings into searchable knowledge: transcript → summary → key decisions → action items.
• Action: Drive/local media → audio extraction → transcription → chunking → upload to NotebookLM/Drive.
• Reasoning: speaker attribution, decisions & tasks extraction, “3‑sentence summary + 5 keywords”.
• Memory: project glossary and abbreviations; strict permission isolation (only within authorized accounts).
• Governance: validate file permissions first; if download is blocked, stop and guide the user; show preview before upload.

Project 3 | Handbook case‑card generation agent (daily)

• Value: turn conversations and sources into reusable case cards (summary, tags, workflow, impact, caveats).
• Action: ingest sources → generate cards → write into handbook-site / Notion DB.
• Reasoning: enforce a template; check privacy and publishability; consistent taxonomy tagging.
• Memory: maintain a keyword/taxonomy dictionary for consistent categorization.
• Governance: deduplicate + always attach source references; sensitive content requires manual approval to publish.

Project 4 | Civic AI literacy content generator + checker

• Value: rapidly generate lesson plans, exercises, solutions; and verify alignment with learning objectives.
• Action: generate docs (and later slides), collect references, output structured materials.
• Reasoning: label “fact vs inference vs value judgment” to reduce over‑claiming.
• Memory: incorporate post‑class feedback to iteratively improve content.
• Governance: require traceable sources for external claims; human review before publication.

Project 5 | NGO micro‑research assistant: scan → synthesize → one‑page briefing

• Value: help NGOs with limited capacity quickly map an issue and options.
• Action: collect public sources → extract quotes → produce a one‑page briefing (positions, risks, options).
• Reasoning: every claim must be sourced; separate viewpoints and mark uncertainty.
• Memory: store per‑project background and glossary (no cross‑project mixing).
• Governance: avoid mixing internal or unauthorized data; respect licensing/copyright for citations.

C. Minimal governance requirements (copy into your spec)

1) Permissions and actions

• Start with least privilege (read‑only by default).
• All write/send/publish actions require explicit human approval.

2) Observability and rollback

• Keep traces: inputs, tool calls, outputs, and rationale.
• Critical writes must be reversible (versioning, change logs).

3) Memory management

• Separate short‑term (within task) and long‑term (across tasks) memory.
• Long‑term memory must be reviewable, exportable, and deletable.
• Unverified information must not be promoted into long‑term memory.

One‑liner: The more an agent can act, the more governance you need—otherwise capability becomes risk.