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- Update version from 1.0 to 2.0 and effective date to 2026-02-24 - Extend planning horizon from 2032 to 2037 across all sections - Add AI/LLM Evolution Impact section with model trajectory roadmap - Add competitive landscape considerations for LLM providers - Add AGI Transition Planning (2033-2037) scenario analysis - Extend Strategic Action Matrix with AI Evolution and Long-Term Vision rows Co-authored-by: Copilot <[email protected]>
- Update version from 1.0 to 2.0 and effective date to 2026-02-24 - Extend roadmap from 2026-2032 to 2026-2037 (3-11 year horizon) - Add AI/LLM Evolution branch (Opus 4.6 to AGI, competitor monitoring, AGI transition) - Add Phase 6 (2034-2037) covering AGI-enhanced platform and 195 parliament coverage - Extend capability matrix with 2034 Target and 2037 Vision columns - Add AI Updates row tracking model evolution cadence Co-authored-by: Copilot <[email protected]>
…ifecycle - Update version to 2.0 and effective date to 2026-02-24 - Extend planning horizon from 2032 to 2037 - Add section 6: AI/LLM Model Evolution Lifecycle (2026-2037) covering minor updates, major upgrades, competitor evaluation, and AGI transition planning - Update Future State Summary table with new row and Opus model references Co-authored-by: Copilot <[email protected]>
- Update version to 2.0 and date to 2026-02-24 - Extend horizon from 2026-2029 to 2026-2037 - Add Phase 5 (2030-2033): AI Evolution & Global Scale - Add Phase 6 (2034-2037): AGI Era & Transformative Democracy - Add two new subgraphs to Vision Architecture mermaid diagram - Add AI model evolution strategy with workflow projections - Add Visionary (2030-2037) success metrics section Co-authored-by: Copilot <[email protected]>
…olution - Update document version from 1.2 to 2.0 and effective date to 2026-02-24 - Extend roadmap horizon from 3-5 years to 3-11 years (2026-2037) - Add AI/LLM Security Evolution section with model security trajectory - Add phased AI security controls roadmap (Foundation through AGI-Era) - Add LLM competitor security considerations and multi-model strategy - Update next review date to 2026-05-24 Co-authored-by: Copilot <[email protected]>
- Update version from 1.0 to 2.0, effective date to 2026-02-24 - Extend roadmap horizon from 2026-2032 to 2026-2037 - Add Section 11: AI/LLM Evolution Flow with Mermaid diagram - Add AI Model Evolution Timeline table (2026-2037) - Add AGI Transition Planning subsection (2033-2037) - Update document control with version history and review dates Co-authored-by: Copilot <[email protected]>
- Update version to 2.0, effective date to 2026-02-24 - Extend strategic vision from 2032 to 2037 with Phase 5 (Pre-AGI) and Phase 6 (AGI-era) - Add AI/LLM Data Architecture Evolution section with model impact timeline - Add extended data scale projections (up to 195 parliaments, 100M+ documents) - Update key transformations table for 2037 horizon - Update document control metadata and version history Co-authored-by: Copilot <[email protected]>
…trategy - Update version from 1.1 to 2.0 and effective date to 2026-02-24 - Extend roadmap horizon from 3-7 years (2026-2032+) to 3-11 years (2026-2037) - Add milestones for 2029-2037 covering Opus 7-10.x and AGI-era evolution - Add AI/LLM Evolution Architecture Strategy section with model cadence, extended roadmap table, and competitor/paradigm shift considerations Co-authored-by: Copilot <[email protected]>
… total) Update workflow inventory counts: - 24 standard YAML workflows (was 23) - 10 agentic markdown sources (was 3) - 10 compiled lock files (was 3) - 44 total workflow files (was 29) Bump document version to 5.1 and update date to 2026-02-24. Co-authored-by: Copilot <[email protected]>
…s (24 YAML + 10 agentic + 10 locks), 14 agents, 10 agentic news workflows Co-authored-by: pethers <[email protected]>
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[WIP] Update FUTURE_*.md files with 2026 vision
Extend FUTURE_*.md roadmap to 2037 with AI/LLM evolution strategy; fix current-state doc accuracy
Feb 24, 2026
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Pull request overview
Extends the project’s future-state roadmap documentation from a 2026–2032 horizon to 2026–2037 with added AI/LLM evolution strategy content, and updates current-state documentation to reflect the repo’s actual workflow/agent inventory.
Changes:
- Extended all FUTURE_* roadmap documents to 2037 and added AI/LLM evolution sections (cadence, lifecycle, competitor landscape, AGI transition planning).
- Updated WORKFLOWS.md and SWOT.md to reflect current repo reality (44 workflows; 10 agentic news workflows; 14 agents).
- Added/updated multiple Mermaid diagrams and planning tables to incorporate the longer horizon.
Reviewed changes
Copilot reviewed 10 out of 10 changed files in this pull request and generated 5 comments.
Show a summary per file
| File | Description |
|---|---|
| WORKFLOWS.md | Updates current workflow inventory/counts and documents the expanded set of agentic news workflows. |
| SWOT.md | Adjusts current-state SWOT assertions to match current agent/workflow reality. |
| FUTURE_WORKFLOWS.md | Extends workflow vision to 2037 and adds new long-horizon phases and projections. |
| FUTURE_SWOT.md | Extends SWOT horizon to 2037 and adds AI/LLM evolution/competition and action matrix updates. |
| FUTURE_STATEDIAGRAM.md | Extends horizon and adds an AI/LLM model evolution lifecycle state diagram. |
| FUTURE_SECURITY_ARCHITECTURE.md | Extends horizon to 2037 and adds AI/LLM-specific security evolution roadmap. |
| FUTURE_MINDMAP.md | Extends mindmaps and capability matrix through 2037 with AI/LLM evolution nodes. |
| FUTURE_FLOWCHART.md | Extends horizon and adds AI model lifecycle management flow (eval/shadow/rollout/AGI planning). |
| FUTURE_DATA_MODEL.md | Extends data roadmap and projections to 2037 and adds AI/LLM data architecture evolution section. |
| FUTURE_ARCHITECTURE.md | Extends architecture roadmap to 2037 and adds AI/LLM evolution architecture strategy section. |
FUTURE_WORKFLOWS.md
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| | Year | Workflows | AI Model | Key Capability | | ||
| |------|-----------|----------|----------------| |
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The extended "Workflow Count Projection" also shows a decrease from 44-50 (2026) to 35-40 (2027). If this is meant to represent total workflows, it should not decline year-over-year; if it represents a subset, it needs to be labeled as such. Please correct the 2027 row (and/or add a clarifying label) to keep the projection coherent.
Suggested change
| | Year | Workflows | AI Model | Key Capability | | |
| |------|-----------|----------|----------------| | |
| _Note: Counts represent AI-native/agentic workflows, a subset of total CI/CD workflows. The total number of workflows is expected to grow even if this subset fluctuates year-over-year._ | |
| | Year | AI-native workflows (subset of total) | AI Model | Key Capability | | |
| |------|---------------------------------------|----------|----------------| |
FUTURE_SWOT.md
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| | Strategic Theme | Actions (2026-2028) | KPIs | Owner | | ||
| | Strategic Theme | Actions (2026-2037) | KPIs | Owner | | ||
| |----------------|---------------------|------|-------| | ||
| | **AI Intelligence** | Deploy GPT-5, Knowledge Graph, Election Forecasting | Prediction accuracy > 85% | CTO | |
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The action matrix calls out "Deploy GPT-5" as a planned action, but the rest of the document and the architecture roadmap emphasize Anthropic Opus via Amazon Bedrock and an AWS-only supplier strategy (see FUTURE_ARCHITECTURE.md:67). Consider rephrasing this to a provider-agnostic goal (e.g., evaluate competitor models / integrate best-available model via Bedrock) or explicitly explain how GPT-5 fits within the AWS-only constraint.
Suggested change
| | **AI Intelligence** | Deploy GPT-5, Knowledge Graph, Election Forecasting | Prediction accuracy > 85% | CTO | | |
| | **AI Intelligence** | Deploy best-available Amazon Bedrock foundation model (e.g., Anthropic Opus), Knowledge Graph, Election Forecasting | Prediction accuracy > 85% | CTO | |
FUTURE_DATA_MODEL.md
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| **📋 Document Owner:** CEO | **📄 Version:** 1.0 | **📅 Last Updated:** 2026-02-15 (UTC) | ||
| **📋 Document Owner:** CEO | **📄 Version:** 2.0 | **📅 Last Updated:** 2026-02-24 (UTC) | ||
| **🔄 Review Cycle:** Annual | **⏰ Next Review:** 2027-02-15 |
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"Next Review" is inconsistent within this document: the header still says 2027-02-15, but later sections set the next review to 2027-02-24. Please align the header date with the updated document control dates so there is a single source of truth.
Suggested change
| **🔄 Review Cycle:** Annual | **⏰ Next Review:** 2027-02-15 | |
| **🔄 Review Cycle:** Annual | **⏰ Next Review:** 2027-02-24 |
FUTURE_FLOWCHART.md
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| **📋 Document Owner:** CEO | **📄 Version:** 1.0 | **📅 Last Updated:** 2026-02-20 (UTC) | ||
| **📋 Document Owner:** CEO | **📄 Version:** 2.0 | **📅 Last Updated:** 2026-02-24 (UTC) | ||
| **🔄 Review Cycle:** Quarterly | **⏰ Next Review:** 2026-05-20 |
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The header lists Next Review: 2026-05-20, but the document control section later has Next Review: 2026-05-24. Please make these dates consistent (either update the header or revert the document control date) to avoid conflicting review schedules.
Suggested change
| **🔄 Review Cycle:** Quarterly | **⏰ Next Review:** 2026-05-20 | |
| **🔄 Review Cycle:** Quarterly | **⏰ Next Review:** 2026-05-24 |
FUTURE_WORKFLOWS.md
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| | Year | Projected Total | New Capabilities | | ||
| |------|----------------|------------------| | ||
| | 2026 Q1 | **29** | TypeScript foundation ✅ | | ||
| | 2026 Q1 | **44** | TypeScript foundation, 10 agentic workflows ✅ | | ||
| | 2026 Q4 | **35** | CIA pipeline v2, preview deploys, visual regression | | ||
| | 2027 Q4 | **42** | OSINT pipeline, ML predictions, real-time streams | |
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In the workflow count projection table, the projected total drops from 44 (2026 Q1) to 35 (2026 Q4). That contradicts the stated goal of workflow growth and makes the projection hard to interpret. Please adjust the projected totals (or clarify if this table is tracking a different subset than total workflows) so the numbers are internally consistent.
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@copilot apply changes based on the comments in this thread |
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@copilot apply changes based on the comments in this thread |
Copilot stopped work on behalf of
pethers due to an error
February 24, 2026 05:29
… AI strategy, aligned review dates Co-authored-by: pethers <[email protected]>
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