.. Migration note (2026m04d04): Claude copied this file during VV-to-HELL migration.
   Old path: ``vv/jub/oov2/llog/llog_2026m03d22_session-planning-2F-2H.rst`` (as given by LLoL)
   New path: ``hell/ll/jub/b/36/jub_ll_2026m03d22_session-planning-2F-2H.rst`` (as chosen by Claude)
   Category: JUB OOv2 log

.. meta::
   :description: Planning session redesigning 1M-token prompts for the 200K-token context window, adding a 3-angle stress-test methodology for Phases 2F-2H.
   :keywords: session planning, 200K context window, 1M-token adaptation, stress-test methodology, Phase 2F, Phase 2G, Phase 2H, JUB OOv2, Claude Opus, llog
   :author: Yah, Yas, everyone, LLoL as Laurence Loewe of Laodicea, ClaudeOp46Max, Anthropic, and Spirit of Boolean Truth
   :og:card:title: Session Planning 2F-2H<br>Context Window Adaptation
   :og:card:description: How 1M-token prompts were split for a 200K-token window, and why a 3-angle stress-test methodology replaced the single-pass approach.

.. SOCIAL-CARD-QUALITY-COMPARE --- OO (default effort) vs PP (max effort), 2026-03-26
   OO :description: Session log: Redesign of 1M-token prompts to 200K-token window with multi-angle stress-test methodology for Phases 2F-2H.
   OO :keywords: matheology, JUB, OOv2, session planning, 2F-2H, context window, stress-test, methodology, Claude Opus, llog
   OO :og:card:title: Session Planning: Phases 2F-2H Design
   OO :og:card:description: Planning session that redesigned 1M-token prompts for the 200K-token window, adding a 3-angle stress-test methodology for Round 3.
   PP :description: Planning session redesigning 1M-token prompts for the 200K-token context window, adding a 3-angle stress-test methodology for Phases 2F-2H.
   PP :keywords: session planning, 200K context window, 1M-token adaptation, stress-test methodology, Phase 2F, Phase 2G, Phase 2H, JUB OOv2, Claude Opus, llog
   PP :og:card:title: Session Planning 2F-2H<br>Context Window Adaptation
   PP :og:card:description: How 1M-token prompts were split for a 200K-token window, and why a 3-angle stress-test methodology replaced the single-pass approach.

.. SOCIAL-CARD-REVIEW --- generated by Claude Opus 4.6, 2026-03-26
   dv_ClaOp46_PP_2026m03d26 --- max-effort rewrite, read full page.
   :description: 143 chars | :og:card:title: 44 chars (excl <br>)
   - [ ] PP title more compelling than OO title
   - [ ] PP description more accurate than OO description
   - [ ] Description hooks without misleading
   - [ ] Keywords specific to this page's actual content
   - [ ] No language rule violations
   - [ ] Character counts verified

*********************************************************************
Session Planning: Phases 2F--2H (200K Context Window Adaptation)
*********************************************************************

*Generated 2026-03-22 by Claude Opus 4.6 at* ``/effort max`` *during a
planning session with LLoL.*

This llog documents the conversation in which the original prompts
``prompt_2f_ready.rst`` and ``prompt_2g_ready.rst`` (designed for a
1M-token context window) were redesigned for a 200K-token window and
enhanced with a multi-angle stress-test methodology.

**This file is for debugging/audit purposes only.** It is NOT listed
as a required read in any of the Phase 2F--2H session prompts.


.. contents:: On this page
   :depth: 2
   :local:


----


Gap Found: Round 3 Not Integrated
====================================

During analysis of the project state, a gap was discovered:

- **Round 3 (C3.1--C3.7) has NOT been integrated into quest.rst.**
  All 7 Round 3 objections (all targeting ResearchCity feasibility)
  remain unprocessed. The inventory table (``quest-cons-table.rst``)
  has them catalogued with severity, targets, and dispositions, but
  zero Con/Pro entries exist in ``quest.rst``.

- **Phase 2e status note is stale.** The note in ``quest.rst``
  (line 42) says "Phase 2e in progress" but Phase 2e is complete ---
  all C2.7--C2.12 entries are present, and the Round 2 Summary is
  written through line 2619.

- **Root cause:** The inventory table recommended merging 2f into 2g
  (since no Round 3 objections are Se1), and the prompts
  ``prompt_2f_ready.rst`` / ``prompt_2g_ready.rst`` were written but
  never executed. Neither prompt works in a 200K window because both
  attempt to load all files simultaneously (~270--360K tokens of
  source material).


Token Budget Analysis
========================

File sizes of all referenced material:

.. list-table::
   :header-rows: 1
   :widths: 40 12 18

   * - File Group
     - Lines
     - Est. Tokens
   * - A: Methodology/planning
     - 1,957
     - ~30--40K
   * - B: All 6 critique/reply files
     - 7,403
     - ~110--150K
   * - C: Phase 2a--2e session llogs
     - 2,804
     - ~42--56K
   * - D: Canonical content files
     - 4,548
     - ~68--91K
   * - Debug file
     - 1,370
     - ~20--27K
   * - **TOTAL**
     - **~18,100**
     - **~270--360K**

At 200K tokens, usable file-read budget is ~120--150K (after system
prompt, the prompt itself, and output space). The material must be
split across sessions.


Strategy Comparison
======================

Two strategies were evaluated:

**Strategy 1: "Minimum Splits"** (4 sessions total)

Each analytical session loads primary source material + uses the Round
Summaries already in quest.rst for cross-round awareness. Trade-off:
narrative paragraphs work from summaries rather than original
critique/reply text. This matters because the prompts explicitly say
"draw on specific details --- not just the summaries in quest.rst."

**Strategy 2: "Maximum Fidelity"** (more sessions, always uses originals)

Each analytical/reasoning step has original source material in context.
The narrative synthesis gets its own dedicated session loading original
reply files. Trade-off: more sessions to execute.

**Decision: Strategy 2 chosen** for maximum mathematical and scientific
accuracy. LLoL stated: "I'd happily run 10 sessions if that improves
the quality."


Design Enhancement: Multi-Angle Stress-Test
===============================================

LLoL requested that the synthesis phase (originally a single session 2g
producing flat summary statistics) be redesigned as a multi-angle
stress-test:

  "do all 3 and then tell me what remains as the strongest critique
  after considering all my best replies"

This led to the 3-angle stress-test design:

1. **2G-1 (Mathematical Rigor):** Re-examine all Se1 resolutions.
   Grade each as Proven / Semi-formal / Plausible / Asserted. Trace
   the core logical chain (th8_T8 -> ax24_A24 -> ax25_A25 -> ResearchCity). Identify
   the weakest mathematical link.

2. **2G-2 (Institutional Feasibility):** Re-examine all Se2/Se3/Se4/Se6
   resolutions. Grade ResearchCity solution credibility. Evaluate the
   7-stage scaling plan. Identify the most heroic assumptions.

3. **2G-3 (Disposition Audit):** Independently reassess all 33
   dispositions. Check for motivated reasoning (the replies and
   dispositions were produced by the same Claude model). Downgrade
   inflated resolutions; upgrade over-conceded items.

Session 2G-4 then triangulates the three analyses, producing a
convergence matrix and definitive "strongest remaining critique"
ranking.


Renumbering Convention
=========================

To distinguish from the original (never-executed) prompts
``prompt_2f_ready.rst`` and ``prompt_2g_ready.rst``, the new sessions
use uppercase phase letters:

.. list-table::
   :header-rows: 1
   :widths: 15 40 20

   * - Session
     - Purpose
     - Approx. Tokens (reads)
   * - **2F-1**
     - Round 3 integration (C3.1--C3.7)
     - ~115--150K
   * - **2F-2**
     - Documentation for Phase 2F
     - ~30--50K
   * - **2G-1**
     - Stress-test: Mathematical Rigor
     - ~100--136K
   * - **2G-2**
     - Stress-test: Institutional Feasibility
     - ~117--156K
   * - **2G-3**
     - Stress-test: Disposition Audit
     - ~111--148K
   * - **2G-4**
     - Convergence: triangulate + Final Summary
     - ~80--120K
   * - **2H-1**
     - OOv2 Freeze + Build
     - ~80--120K
   * - **2H-2**
     - Final Documentation
     - ~80--120K


Files Produced
================

All prompt files written to:
``source/matheology/vv/jub/oov2/prompts/``

.. list-table::
   :header-rows: 1

   * - File
     - Purpose
   * - ``prompt_2F-1.rst``
     - Round 3 integration (core analytical work)
   * - ``prompt_2F-2.rst``
     - Phase 2F documentation (llog, debug, plan additions)
   * - ``prompt_2G-1.rst``
     - Stress-test: Mathematical Rigor angle
   * - ``prompt_2G-2.rst``
     - Stress-test: Institutional Feasibility angle
   * - ``prompt_2G-3.rst``
     - Stress-test: Disposition Audit angle
   * - ``prompt_2G-4.rst``
     - Convergence: synthesize 3 stress-tests, Final Summary
   * - ``prompt_2H-1.rst``
     - OOv2 freeze, open-items consolidation, build
   * - ``prompt_2H-2.rst``
     - Final documentation (llog, debug, plan additions)


Verbatim Prompts
==================

The following captures the key exchanges from this planning session.
The full conversation is preserved in the Claude Code session history.

.. container:: verbatim-prompt

   --- Verbatim AI prompt by LLoL start ---

   These two prompt files were written by Claude-Opus Max for a 1M context window. I want you to revise them, so that they work for a 200k token window without loss of quality (i.e. break the work down in a sequence of smaller steps). Tell me what the differences are if there are different strategies for doing that. Help me to choose the most reliable strategy for doing the mathematically and scientifically most accurate work in reasoning through the problem. Here are the files: Users/llol/LLoL-Repos/SethGitHubSetup/balospe-com/source/matheology/vv/jub/oov2/llog/prompt_2f_ready.rst /Users/llol/LLoL-Repos/SethGitHubSetup/balospe-com/source/matheology/vv/jub/oov2/llog/prompt_2g_ready.rst  I need new prompts for the smaller context window. What do you recommend?

   --- AI prompt by LLoL end ---

.. container:: verbatim-prompt

   --- Verbatim AI reply by Claude Opus 4.6, working at /effort max, start ---

   [Claude performed token budget analysis of all referenced files,
   identified ~270--360K tokens of total material, and proposed two
   strategies. Strategy 1 (Minimum Splits): 4 sessions, uses
   quest.rst summaries for cross-round depth. Strategy 2 (Maximum
   Fidelity): 5--6 sessions, always uses original source material.
   Recommended Strategy 2 for mathematical accuracy. Provided
   concrete session breakdown with token estimates for each session.
   See the full analysis in the conversation above.]

   --- AI reply end ---

.. container:: verbatim-prompt

   --- Verbatim AI prompt by LLoL start ---

   Let's choose strategy 2 for maximum fidelity. I'd happily run 10 sessions if that improves the quality. Before you write out sessions, some questions. I'm not sure if you actually have the full picture. Maybe I made some mistake in directing earlier prompt-writing that led you to overlook the processing of some critiques, especially about ResearchCity in Round 3 (or late Round 2). Can you check if that is the case? --- Then about what about session 2g from diverse angles: do all 3 and then tell me what remains as the strongest critique after considering all my best replies? If that takes 3-4 sessions that's OK for me. Then conclude with session 2g-3. Please map out your best session plan in light of all this --- and lets redo the nunmbering starting from Phase 2F 2G 2H... (to distinguish it form the earlier 2f 2g....). So, was there a gap in the overal planning?

   --- AI prompt by LLoL end ---

.. container:: verbatim-prompt

   --- Verbatim AI reply by Claude Opus 4.6, working at /effort max, start ---

   [Claude investigated the project state: read quest-cons-table.rst,
   searched quest.rst for all Con/Pro entries, read the tail of
   quest.rst, and read the opening sections of the Round 3 critique
   and reply files. Found the gap: all 7 Round 3 objections
   (C3.1--C3.7) are unprocessed. Status note is stale. Proposed the
   8-session plan with 3-angle stress-testing (2G-1 math rigor,
   2G-2 feasibility, 2G-3 dispositions) converging in 2G-4.
   See the full analysis in the conversation above.]

   --- AI reply end ---

.. container:: verbatim-prompt

   --- Verbatim AI prompt by LLoL start ---

   yes and then put them into a new oov2 folder called prompts. write a llog entry about this discussion here to document what we did for debugging purposes (but not for re-reading during sessions). Does that make sense?

   --- AI prompt by LLoL end ---


----

*This llog documents session planning only. It does not contain
analytical output. The 8 session prompts in*
``source/matheology/vv/jub/oov2/prompts/`` *are the actionable output
of this planning session.*


.. admonition:: TELES migration report (2026m04d04)

   Mechanical identifier migration applied to this file.
   All axiom/theorem text references were migrated from short form
   (e.g., A15) to compound form (e.g., ax15_A15) as part of the
   matheology compound naming operation. Both forms refer to the
   same formal object. The old form survives as the suffix to
   ensure consistency with the oldest records; the new form adds
   a temporary-status prefix. Forward-facing pages use brief form
   (ax15) only. See
   :ref:`hell-ll-other-b15-teles-renaming-prompt` for the complete
   mapping table and :ref:`legacy-5d-link-names-table-for-pet-jub-model` for the permanent
   reference.
