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Design data model (User, Transcript, SkillDraft, Edit)
Due on 2026-09-25 (Transcript → SKILL.md Generator)
Set up Claude API integration
Due on 2026-09-25 (Transcript → SKILL.md Generator)
Implement bespoke glassmorphic design system and typography hierarchy
Operion — AI-Native Project OS
Add smooth Kanban drag-and-drop animations and visual feedback
Operion — AI-Native Project OS
Implement React Server Component (RSC) streaming with Suspense and shimmering skeletons
Operion — AI-Native Project OS
Define Employee Identity layer (role, permissions, policies, working schedule, connected services)
Project HELIX — Personal Browser Employee Runtime
Expand natural language command intent dispatching (assign, reschedule, filter)
Operion — AI-Native Project OS
Add interactive multi-step preview modal for AI-generated project trees
Operion — AI-Native Project OS
Implement conversational chat session history with streaming token responses
Operion — AI-Native Project OS
Activate live conversational Telegram Bot with production bot token
Operion — AI-Native Project OS
Build front-facing Supabase Auth login/signup modal for multi-tenant organizations
Operion — AI-Native Project OS
Implement automated multi-step email drip sequence via AgentMail
Startups Tracker System
Add real-time webhook listener for incoming founder replies in AgentMail
Startups Tracker System
Build Claude Desktop 1-Click Extension (.mcpb bundle)
Operion — AI-Native Project OS
Publish Operion MCP to Smithery and Glama Registries
Operion — AI-Native Project OS
Implement OAuth 2.0 PKCE Auth Provider for ChatGPT and Claude Connectors
Operion — AI-Native Project OS
Build ChatGPT Plugin & Native MCP App Package
Operion — AI-Native Project OS
Publish Operion MCP to Smithery and Glama Registries
Operion — AI-Native Project OS
Implement OAuth 2.0 PKCE Auth Provider for ChatGPT and Claude Connectors
Operion — AI-Native Project OS
Deploy Streamlit dashboard and continuous pipeline to cloud infrastructure
Startups Tracker System
Implement Claude.ai Remote Connector Manifest & Verification
Operion — AI-Native Project OS
Build Claude OAuth 2.0 Consent & Token Exchange UI
Operion — AI-Native Project OS
Implement automated LinkedIn connection sequence engine
Startups Tracker System
Design data model (User, Transcript, SkillDraft, Edit)
Transcript → SKILL.md Generator
Build Step 1: Chunk & orient extraction logic
Transcript → SKILL.md Generator
Build Step 2: Structured findings extraction prompt
Transcript → SKILL.md Generator
Design Personal Operating Model schema (workflow patterns, navigation preferences, learned skills, user preferences)
Project HELIX — Personal Browser Employee Runtime
Model the Employee → Responsibility → Work → Context → Activity hierarchy
Project HELIX — Personal Browser Employee Runtime
Build Work Management layer: tasks, projects, responsibilities, dependencies, priorities, deadlines
Project HELIX — Personal Browser Employee Runtime
Implement unified planner/scheduler supporting one-time, recurring, scheduled, event-based, monitoring, and persistent-responsibility work
Project HELIX — Personal Browser Employee Runtime
Build Step 3: SKILL.md drafting prompt
Transcript → SKILL.md Generator
Test pipeline end-to-end against 5-10 real transcripts
Transcript → SKILL.md Generator
Build side-by-side review UI (transcript excerpt vs generated section)
Transcript → SKILL.md Generator
Build Step 4: self-check/QA pass
Transcript → SKILL.md Generator
QA pass across a broader transcript test set
Transcript → SKILL.md Generator
Wire async job queue (BullMQ/Celery) for generation
Transcript → SKILL.md Generator
Build attention model: current focus, active/waiting/deferred/upcoming work, background monitoring, human-required states
Project HELIX — Personal Browser Employee Runtime
Implement multi-task management: unified workload intake from instructions, schedules, events, monitored conditions, unfinished work
Project HELIX — Personal Browser Employee Runtime
Implement core loop: Observe → Understand → Plan → Validate → Act → Verify → Remember → Decide
Project HELIX — Personal Browser Employee Runtime
Design semantic Agent Action Model (intent, target, preconditions, parameters, expected outcome, validation, result, error state) for navigate/click/type/scroll/select/etc.
Project HELIX — Personal Browser Employee Runtime
Stand up Browser Runtime (Chrome, Playwright control, persistent profiles, tabs/contexts, events, screenshots)
Project HELIX — Personal Browser Employee Runtime
Implement persistent browser sessions with isolated credential/auth handling (browser controller owns sensitive material, not model)
Project HELIX — Personal Browser Employee Runtime
Build abstract browser state representation (URL, tabs, page load state, interactive elements, a11y tree, visual state, task association)
Project HELIX — Personal Browser Employee Runtime
Implement hybrid perception combining visual (screenshots), accessibility tree, DOM, and browser events
Project HELIX — Personal Browser Employee Runtime
Integrate local OpenAI-compatible inference (Ollama/vLLM) with a replaceable model abstraction layer
Project HELIX — Personal Browser Employee Runtime
Design persistence layer (tasks, projects, runs, browser states, observations, actions, checkpoints, skills, policies, events, audit logs)
Project HELIX — Personal Browser Employee Runtime
Implement task checkpointing (objective, context, completed/remaining work, last action, recovery info) for interrupted-task resume
Project HELIX — Personal Browser Employee Runtime
Build Recovery Engine to handle page changes, missing elements, crashes, model failures, session expiration, and network problems
Project HELIX — Personal Browser Employee Runtime
Implement action verification (state-change confirmation beyond command acceptance: notifications, URL/element/record changes)
Project HELIX — Personal Browser Employee Runtime
Build Chrome extension with Learning Mode (visibility into status, included/excluded sites, captured data categories, retention, pause control)
Project HELIX — Personal Browser Employee Runtime
Implement browser activity observation with sensitive-data minimization (exclude passwords, payment info, auth secrets)
Project HELIX — Personal Browser Employee Runtime
Create FastAPI project skeleton with Vercel serverless config
Infinity Nodes
Integrate Groq API for concept extraction and define JSON schema
Infinity Nodes
Develop async processing pipeline for Telegram messages
Infinity Nodes
Design Notion database schema for concepts, entities, relationships
Infinity Nodes
Build MCP SSE endpoint for streaming memory updates
Infinity Nodes
Implement JSON-RPC methods for query and mutation operations
Infinity Nodes
Implement Workflow Skills conversion (purpose, trigger, inputs, outcome, constraints, verification, exceptions, approval requirements, confidence, versioning)
Project HELIX — Personal Browser Employee Runtime
Set up Claude API integration
Transcript → SKILL.md Generator
Build backend API endpoints (submit, poll status, fetch result)
Transcript → SKILL.md Generator
Define human handoff triggers and take-over/return-control flow (CAPTCHA, auth, destructive/financial actions, low confidence, ambiguity, limits)
Project HELIX — Personal Browser Employee Runtime
FR-001: Create a graph with a root node
REGENT: Recursive Evidence Graph Engine
Define core data objects
REGENT: Recursive Evidence Graph Engine
FR-002: Add sources to an existing graph
REGENT: Recursive Evidence Graph Engine
FR-003: Parse supported source formats
REGENT: Recursive Evidence Graph Engine
Implement source fingerprinting
REGENT: Recursive Evidence Graph Engine
FR-004: Identify meaningful evidence units (segmentation)
REGENT: Recursive Evidence Graph Engine
FR-005: Identify candidate entities
REGENT: Recursive Evidence Graph Engine
FR-006: Identify claims
REGENT: Recursive Evidence Graph Engine
FR-007: Identify candidate relationships
REGENT: Recursive Evidence Graph Engine
Build Node Creation Engine pipeline
REGENT: Recursive Evidence Graph Engine
Implement node creation decision framework
REGENT: Recursive Evidence Graph Engine
FR-008: Retrieve relevant existing graph context
REGENT: Recursive Evidence Graph Engine
FR-009: Resolve candidate identity
REGENT: Recursive Evidence Graph Engine
FR-010: Create nodes when appropriate
REGENT: Recursive Evidence Graph Engine
Implement Node Granularity Algorithm (avoid graph explosion)
REGENT: Recursive Evidence Graph Engine
Build Similarity Engine
REGENT: Recursive Evidence Graph Engine
Implement entity relationship classification (same/alias/parent-child/subtype/related/similar/unrelated)
REGENT: Recursive Evidence Graph Engine
FR-011: Merge nodes with provenance preservation
REGENT: Recursive Evidence Graph Engine
Define extensible relationship ontology
REGENT: Recursive Evidence Graph Engine
Implement CREATE, MERGE, EXTEND mutation operations
REGENT: Recursive Evidence Graph Engine
FR-012 / FR-013: Implement QUALIFY and EXTEND against existing knowledge
REGENT: Recursive Evidence Graph Engine
Implement CONTRADICT, LINK, UPDATE mutation operations
REGENT: Recursive Evidence Graph Engine
FR-014: Implement contradiction detection, DUPLICATE and IGNORE operations
REGENT: Recursive Evidence Graph Engine
FR-015: Implement graph integrity validation rules
REGENT: Recursive Evidence Graph Engine
FR-016: Build provenance record schema and navigable chain
REGENT: Recursive Evidence Graph Engine
FR-019: Build "Explain this" explainability operation
REGENT: Recursive Evidence Graph Engine
Implement three-layer evidence architecture (Evidence / Knowledge / Reasoning graphs)
REGENT: Recursive Evidence Graph Engine
Implement temporal knowledge support (versioned attribute history)
REGENT: Recursive Evidence Graph Engine
FR-017: Build graph versioning (diffs, mutation history, rollback, audit trail)
REGENT: Recursive Evidence Graph Engine
Build Conflict Engine (first-class conflict objects)
REGENT: Recursive Evidence Graph Engine
Implement conflict resolution factor scoring
REGENT: Recursive Evidence Graph Engine
Build graph-aware retrieval and traversal
REGENT: Recursive Evidence Graph Engine
FR-018: Build natural-language and structured Query Engine
REGENT: Recursive Evidence Graph Engine
FR-020: Build Answer Generation pipeline (graph-grounded, with citations)
REGENT: Recursive Evidence Graph Engine
Build MVP output surfaces (graph viz, summary, conflict report, provenance inspector)
REGENT: Recursive Evidence Graph Engine
Implement full evaluation metric suite
REGENT: Recursive Evidence Graph Engine
FR-021: Audit mutations
REGENT: Recursive Evidence Graph Engine
Implement security requirements (auth, tenant isolation, encryption, audit logs)
REGENT: Recursive Evidence Graph Engine
Phase 0.1: Produce First Rhythm Library (5 Walking Tracks 115-135 BPM)
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 0.2: Run Step Cadence Synchronization Baseline Tests
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 0.3: Produce Same-BPM Multi-Energy Experiment Tracks (Tracks A-E)
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 0.4: Build the Shera Musical State Vocabulary
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 0.5: Codify Warrior Music Grammar v1.0
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 1: Implement Shera Sync Score Calculator & Measurement Framework
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 5: Execute EXP-005 Indian Cultural Rhythm Calibration & Music Adaptation
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 1: Execute EXP-001 (45-Minute Structured Warrior Walking Experiment)
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 1: Complete 14-Day Founder Walking Trial Protocol
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Gate A Audit: Founder Rhythm & Cadence Entrainment Review
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 2.1: Design & Test Steady-State Cardio Music Journeys (EXP-002)
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 2.2: Design & Test HIIT Interval Music Structures (EXP-003)
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 3: Establish Personal Warrior Calibration Protocol & Profiler
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Gate B Audit: Workout Topology & Calibration Engine Review
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 4: Execute EXP-004 Multi-Person Validation Study (10 Subjects)
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Gate C Audit: Multi-Person & Cultural Validation Review
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 6.1: Structure Instructor Pilot Offer & Onboard 5-10 Instructors in Indore
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 6.2: Establish Weekly Custom Workout Music Production Pipeline
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 6.3: Measure Instructor Pilot Engagement & Value Metrics
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 7: Launch Fitness Music as a Service (FMaaS) Packaging & Tiered Pricing
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Gate D Audit: Instructor Pilot & FMaaS Commercial Proof Review
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 8: Build Music Production System & Stem Architecture
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 9: Develop Adaptive Music Engine Prototype (Dynamic BPM & Stem Mixer)
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 10: Integrate Wearable Sensor Streaming (BLE Heart Rate & Cadence)
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Gate E Audit: Music Engine & Wearable Integration Review
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 11: Implement Closed-Loop Adaptive Individual Workout Engine
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 12: Build & Launch Warrior Fitness Mobile App MVP
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Gate F Audit: Closed-Loop Adaptive MVP & Consumer Launch Review
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 13: Develop Live DJ & Group Fitness Intelligence Console
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Phase 14 & 17: Establish Music Licensing, IP Assets & Regulatory Protection
Shera Sounds × Warrior Fitness: Music-Guided Adaptive Fitness Platform
Collect 8–12 Real Pitch Decks from Target ICPs (ACT-01)
KineticDeck — The AI Presentation Operating System
Conduct Customer Reaction & Willingness-to-Pay Interviews (ACT-03)
KineticDeck — The AI Presentation Operating System
Deploy Marketing Landing Page & Live Waitlist
KineticDeck — The AI Presentation Operating System
Automated PPTX Binary Parsing & Asset Extraction Engine
KineticDeck — The AI Presentation Operating System
Cloud Presentation Hosting & Shareable URL Generator
KineticDeck — The AI Presentation Operating System
Build the 3-agent vertical slice
Content OS
Point REGENT at Content OS data
Content OS
Draft Creator Constitution spec
Content OS
Create MCP server with search_assets, get_asset_details, create_license_purchase endpoints
Aperture — Stock Content Platform
Define product requirements and success metrics
Aperture — Stock Content Platform
Design wireframes for asset gallery and purchase flow
Aperture — Stock Content Platform
Implement asset browsing UI with infinite scroll
Aperture — Stock Content Platform
Integrate Cloudinary SDK for media upload and delivery
Aperture — Stock Content Platform
Build ingestion pipeline: upload raw video, generate watermarks, thumbnails
Aperture — Stock Content Platform