Executable plan for the report. 28 tasks across 4 phases:
- Phase 1 (Tasks 1-3): source gathering + state/metadata + outline stub
- Phase 2 (Tasks 4-14): write sections 1, 2 (8 clusters), 3
- Phase 3 (Tasks 15-23): write sections 4 (4 tiers), 5, 6, 7 + Appendix
- Phase 4 (Tasks 24-28): self-review + user review + final commit + tracks.md
Each task has file:line references, exact commands, and expected
output. Self-review confirms all 21 spec requirements are covered;
no placeholders; type-consistent.
The track is research-only, so the plan recommends inline execution
by a single Tier 2 Tech Lead. Subagent-driven per task is also an
option if context isolation is preferred.
Time-sensitive: report must complete before nagent v2.2.
Foundation research track. Produces a single markdown report at
docs/ideation/2026-06-12-intent-based-scripting-languages.md surveying
intent-based scripting languages and proposing a 4-tier vocab (~40
verbs) for a Meta-Tooling-facing intent DSL.
The report's 7 sections:
1. The 'intent-based' design philosophy (O'Donnell immediate-mode,
Onat/Lottes hardware, CoSy open-vocab, Jofito intent-mapping)
2. Prior art across 8 clusters (0: IMGUI, 1: Concatenative,
2: Array, 3: Intent-mapping, 4: Meta-Tooling, 5: SSDL shapes,
6: Command Palette, 7: Result error handling)
3. The grammar (14 primitives formalized from user's pseudocode)
4. The 4-tier vocab (math, data pipeline, shell, AI-fuzzing tolerance)
5. Hardware mapping (4 anchor claims to Onat/Lottes/O'Donnell/APL-K)
6. AI-agent properties (10 claims tying to existing project
architecture: Meta-Tooling domain, 3-layer security, 4 memory
dimensions, stable-to-volatile cache, Result envelope,
Command Palette 33 commands, Hook API, IEventTarget/sandbox,
'reads are free')
7. Open questions for follow-up interpreter prototype + connection
to intent_dsl_for_meta_tooling_20260608_PLACEHOLDER
Time-sensitive: report must complete before user's nagent v2.2.
No new src/ code, no new tests, no pyproject.toml changes.
Pure research deliverable.
ed