Shared Context Across Sessions​

You can now promote work into an initiative-level shared context so every session in that initiative can reuse it. That means a winning thesis, persona, roadmap, or document no longer has to be copied manually from session to session.

To move a document into shared initiative context, drag it to Initiative in the right-side panel. Hold Option on Mac or Ctrl on Windows while dragging if you want to copy it instead of moving it.

When the same name exists at multiple levels, session content still wins over initiative content, which in turn wins over system content. That gives you a clear rule for what is active when you are working across multiple sessions.

Faster, More Reliable AI​

AI processing is now roughly 50% faster and more stable, with fewer duplicate-processing issues and stronger sequential execution. Agents can make several tool calls within a single run, and long multi-step work is much more practical.

Sequential runs are also harder to derail, so steps are far less likely to be skipped when the workload is large.

Vibe Mode is now available for longer autonomous runs of about 5 to 10 steps. It is useful for exploring options quickly, but the output may be less polished than a fully guided run.

Better Control Over Context​

The history/context window selector now lets you choose how much context to send on the next turn:

• All
• 20
• 10
• 5

You can also see the context gauge update as the window changes, so it is easier to understand how much context is being used and how much you are saving.

Collaboration and Discovery​

• Team collaboration invites have been restored.
• You can search for sessions and search inside variable content.
• Trinity Inline is more reliable for quick edits and questions on documents, although Diff Mode still has one known gap when accepting updates.
• AI-edited documents are now versioned automatically, so changes are tracked without manual duplication.

Cleaner Workspace Tools​

• Agent selection is easier to read, with masters, minds, operators, and custom agents ordered more clearly.
• Uploads work consistently from session creation, the paperclip, and the right panel.
• Downloads are more consistent for single documents or full trees, with session, initiative, or combined scope options.
• MCPs can be shared at the initiative level, with bearer-token support as the current compatibility baseline.

Leaderboard and StageFlow​

The leaderboard has been corrected, and StageFlow and Kanban continue to evolve toward the agent workflow model. The result is a better foundation for tracking initiatives and team progress.

Feedback and Academy​

Use the Feedback button in the top-right corner to send suggestions, report issues, or vote on the features you want next. The Academy documentation is also available to help you understand the platform, the agent order, and how Masterminds works differently from other AI tools.

The Big Moves​

Variable Scope: Organize Your Work Like Files​

Drag variables between Session, Initiative, and System scopes using your OS's native file-manager conventions. Hold Option (Mac) or Ctrl (Windows) to copy instead of move. Session always wins when conflicts exist.

This is the foundation for team-wide knowledge management: personal work stays personal until you promote it.

AI That Actually Waits​

We rebuilt the 4-layer timeout architecture from gateway to frontend. No more false "timeout" toasts while the AI is still working. No more duplicate responses after slow networks. The retry system now adapts to each operation's actual needs -- patient for long conversations, quick for onboarding.

Leaderboard: 6x More Visibility​

StageFlow now discovers initiatives by scanning actual workspace activity instead of relying on manual tagging. Result: 208 initiatives found vs 35 before. Add company-wide teams, pagination, and real team names pulled from your settings.

MasterStyles: Documents That Look Right​

Fenced code blocks render with syntax highlighting. Mermaid diagrams get accessible color themes. Hero images adapt to your variable's theme. No more flicker on load.

Quality of Life​

• Cmd+Enter to send in chat (Ctrl+Enter on Windows)
• Context gauge shows AI attention window usage
• History selector for past conversations
• Smarter channel sorting by your own recent activity
• Variables stay put after page refresh (stale async bug eliminated)
• Dismiss "Review Next" persists to database

Security & Infrastructure​

• SECURITY DEFINER functions hardened with workspace membership guards
• Public execute revoked on sensitive database functions
• iLIKE injection vector patched on user search
• 43 additive database migrations (zero data loss)
• 8-stage pre-push safety gate for all deployments
• Automated rollback on E2E test failure
• 2,045+ automated tests protecting every feature

Stats​

• 113 commits across PR #136 + #138
• 125 files changed
• 43 database migrations
• 26 days of development
• Baseline: January 28, 2026

Learn More​

• SWE Release Notes: [Internal] _masterminds_shared/mm_plan/_platform/260223_plan_doc_updates_pr_136_138/260223_pr_release_notes_platform_swe.md
• User Release Notes: [Internal] _masterminds_shared/mm_plan/_platform/260223_plan_doc_updates_pr_136_138/260223_pr_release_notes_platform_users.md

What This Release Delivers​

• One consistent upload pipeline across chat attachments, right panel, and channel creation.
• DOCX -> Markdown and XLS/XLSX -> CSV conversions for clean AI context.
• ZIP/JSON/XML restore that preserves full folder paths.
• Download All for full-channel backup (ZIP, JSON, YAML, Markdown, DOCX).
• Clear separation between temporary message uploads and permanent chat documents.

Why It Matters​

When context is portable, collaboration is faster. When it is recoverable, you move without fear. This release turns your files into reliable, structured AI memory.

Quick Start​

• Use the right panel for permanent documents.
• Use chat attachments for temporary, message-linked context.
• Download All for backup or IDE work.

Learn More​

• Blog: /blog/2026-01-21-uploads-downloads-backup-restore
• Manual: /docs/platform/10_uploads_downloads_manual
• Reference: /docs/platform/11_uploads_downloads_reference

Your agent is only as smart as the documents you let it remember. The Agent Context panel now gives you a clean, structured, and exportable memory system that keeps every conversation on track.

What This Release Delivers​

• A phase-based document tree that mirrors the agent workflow.
• Clear view and edit modes for every document.
• Multi-format downloads (single or full conversation export).
• ZIP and JSON imports that preserve folder structure.

Why It Matters​

Bad context creates bad outcomes. This release turns your conversation into a predictable, reusable document system that carries forward into every Stage Flow handoff.

Quick Start​

• Open the Right Panel.
• Click a document to read it.
• Use Download All to take everything into your IDE.

Learn More​

• Blog: /blog/2026-01-19-agent-context-intelligence-panel
• Manual: /docs/platform/08_agent_context_manual
• Reference: /docs/platform/09_agent_context_reference

More platform improvements are coming next.

🎯 Executive Summary​

MM IDE Skills v1.0.0 introduces intelligent middleware that automates the complete PM/PD → Engineer workflow, reducing engineer non-coding time by 90% and enabling autopilot feature implementation.

Before MM Skills:

• Engineers waste 60-80% of time on manual context switching
• Copy-pasting prompts from web to IDE
• Manual file organization
• No feedback loop to ABM

After MM Skills:

• Type @abm implementar feature X → Full automation
• Specs pulled, prompts generated, TDD enforced, feedback reported
• Engineers focus on code review, not orchestration

🚀 What's New​

Core Features​

1. Autopilot Workflow (mm-abm-loop)​

Single command executes entire feature implementation:

@abm implementar feature JWT Authentication

What happens:

• ✅ Discovers ABM agent dynamically
• ✅ Pulls PRD/Design specs from database
• ✅ Converts to executable build prompts
• ✅ Syncs to _masterminds/* folder structure
• ✅ Executes prompts with strict TDD (RED → GREEN → REFACTOR)
• ✅ Reports metrics back to ABM for learning

Success Metrics:

• 90% time reduction in handoff process
• 100% automation from spec to code
• 23/23 tests passing on first attempt (example feature)

2. 7 Specialized Skills​

3. Multi-IDE Support​

Supports 4 major IDEs with zero-config installation:

• ✅ Claude Code
• ✅ Cursor
• ✅ Windsurf
• ✅ CODEX

Installation:

cd _masterminds/ide/skills && ./install.sh
# Restart IDE → Done!

Architecture:

• Central source: _masterminds/ide/skills/*.md
• Symlinks to: ~/.claude/skills/, ~/.cursor/skills/, etc.
• Benefit: Update once, propagates to all IDEs

4. MCP Protocol Integration​

Skills communicate with ABM via MCP 2024-11-05:

• Authentication: OAuth 2.1 + PKCE
• Transport: HTTP + JWT tokens
• Token Validity: 30 days (auto-refresh)
• Security: RLS enforced on all DB queries

MCP Tools Used:

• list_agents() - Discover ABM/CIM dynamically
• invoke_agent() - Execute agent with context
• sync_to_files() - Download prompts to local files
• report_feedback() - Send execution metrics

5. Strict TDD Enforcement​

Skills enforce Test-Driven Development cycle:

RED Phase:
├─ Write test first (must fail)
├─ Run test (expect failure)
└─ If test passes → ABORT (invalid test)

GREEN Phase:
├─ Write minimal code to pass test
├─ Run test (expect success)
└─ If test fails → Report to ABM for fix prompt

REFACTOR Phase:
├─ Clean up code
├─ Re-run all tests
└─ Ensure still green

Anti-Pattern Detection:

• ❌ Test passes before implementation → Aborts with error
• ❌ Implementation without test → Rejected
• ❌ Skipping refactor → Flagged for review

6. Bidirectional Feedback Loop​

Skills report detailed metrics to ABM after each prompt:

{
  "prompt": "04_build_T001_E01_UserModel.md",
  "status": "SUCCESS",
  "duration": "3.4s",
  "files_created": ["src/models/User.ts", "src/models/__tests__/User.test.ts"],
  "tests_passing": 5,
  "tests_total": 5,
  "errors_encountered": []
}

ABM Learning:

• Identifies common error patterns
• Refines future prompt quality
• Auto-generates fix prompts when needed
• Improves spec quality by 50% over 10 iterations (target)

📊 Performance & Metrics​

Beta Testing Results​

Technical Performance​

• Autopilot Execution Time: 5-15 minutes (for 12-prompt feature)
• MCP Response Time: 100-500ms per call
• Token Validity: 30 days (reduces auth prompts by 97%)
• File Sync Speed: 10-50ms per file
• Test Execution: 1-10s per prompt (varies by framework)

🔄 Migration Path​

From Manual Workflow​

Old Way (Manual):

1. PM creates PRD in web ✅
2. PD creates design in web ✅
3. Engineer opens web, finds PRD
4. Engineer copies prompts one by one
5. Engineer pastes into IDE
6. Engineer organizes files manually
7. Engineer executes prompts manually
8. Engineer reports back to PM manually
9. Total time: 45-60 minutes

New Way (Automated):

1. PM creates PRD in web ✅
2. PD creates design in web ✅
3. Engineer: @abm implementar feature X
4. ☕ Drink coffee
5. Total time: 5 minutes

Migration Steps:

1. Install skills (2 minutes)
2. Complete OAuth flow (1 minute)
3. Try first feature (5 minutes)
4. Done!

🐛 Known Issues​

📦 What's Included​

Files & Directories​

_masterminds/ide/skills/
├── README.md                          # Installation & usage guide
├── install.sh                         # Automatic installation script
├── mm-abm-invoke.md                  # Skill 1: Create ABM chat
├── mm-abm-answer-questions.md        # Skill 2: Autonomous Q&A
├── mm-abm-execute-prompt.md          # Skill 3: TDD execution
├── mm-abm-validate-prompt.md         # Skill 4: Result validation
├── mm-abm-report-feedback.md         # Skill 5: Metrics reporting
├── mm-abm-loop.md                    # Skill 6: Autopilot (PRIMARY)
└── mm-agent-auto-switch.md           # Skill 7: ABM/CIM switching

Documentation​

• ✅ Feature Documentation: doc_mm_mcp_server_v2_ide_skills_260118.md (500+ lines)
• ✅ Engineer Jumpstart Guide: doc_mm_mcp_server_v2_eng_jumpstart_260118.md
• ✅ Manual Test Procedure: 260118T1500_manual_test_procedure.md
• ✅ Handoff Document: HANDOFF_TESTING_SESSION.md
• ✅ Release Notes: This document
• ✅ Blog Post: 2026-01-18-mm-ide-skills-launch.md
• ✅ Migration Guide: migration_manual_to_mm_skills.md

Tests​

• ✅ OAuth Integration Tests: 5/5 passing
• ✅ MCP Server Integration Tests: 5/5 passing
• ⏳ Manual Test Suite: 15 test cases (pending execution)
• ⏳ Skills Unit Tests: Planned for v1.1

🎓 Learning Resources​

Quick Start​

1. Installation:

   cd _masterminds/ide/skills && ./install.sh
   

2. First Use:

   @abm implementar feature [name]
   

3. Get Help:

   • Docs: _masterminds_shared/mm_docs/features/platform/
   • Slack: #engineering
   • Platform Admin: @admin-team

Tutorials​

• 5-Minute Video: [Coming Soon]
• Written Tutorial: See Engineer Jumpstart Guide
• Onboarding Checklist: See Migration Guide

🔐 Security & Compliance​

Authentication​

• Protocol: OAuth 2.1 + PKCE
• Token Validity: 30 days
• Token Storage: IDE-specific secure storage
• Scopes: workspace:read, agent:invoke

Data Privacy​

• RLS Enforced: All DB queries respect workspace boundaries
• No Data Leakage: Engineers only access their workspace data
• Audit Logs: All agent executions logged in agent_execution_logs

Permissions​

• Auto-Granted: All engineers with workspace membership
• Revocation: Automatic on workspace removal
• No Admin Approval: Self-service via OAuth

🚧 Deprecations & Breaking Changes​

None. This is v1.0.0, first release.

🛣️ Roadmap​

v1.1 (Q1 2026)​

• ⏳ Checkpoint/resume for interrupted execution
• ⏳ Windows symlinks fallback (direct copy mode)
• ⏳ Skills unit tests (>80% coverage)
• ⏳ Skills analytics dashboard
• ⏳ Improved error messages based on beta feedback

v1.2 (Q2 2026)​

• ⏳ Offline mode (cached prompts)
• ⏳ Skills versioning (backward compatibility)
• ⏳ Skills marketplace (community contributions)
• ⏳ Visual skill editor (web-based)

v2.0 (Q3 2026)​

• ⏳ Multi-workspace support
• ⏳ Custom skill creation UI
• ⏳ Advanced metrics (time-series, predictions)
• ⏳ Integration with CI/CD pipelines

🙏 Credits​

Team:

• Platform Team (implementation)
• ABM Team (agent development)
• QA Team (manual testing)
• PM Team (requirements & validation)

Special Thanks:

• PM João (beta testing & feedback)
• Engineer César (alpha testing & bug reports)

📞 Support​

Getting Help​

• Documentation: _masterminds_shared/mm_docs/features/platform/
• Slack Channel: #engineering
• Platform Admin: @admin-team
• Bug Reports: GitHub Issues

Known Limitations​

1. Local Only (v1.0): Skills use localhost URLs (not deployed to alpha yet)
2. Single Feature at a Time: No parallel feature implementation
3. No Rollback: Can't undo autopilot execution (git revert only)
4. IDE Restart Required: After installation and major updates

📄 License & Usage​

Internal Use Only: Masterminds employees with active workspace membership.

No External Distribution: Skills are proprietary to Masterminds platform.

🎬 What's Next?​

Immediate Actions (Week 1)​

1. ✅ Install Skills: Run ./install.sh and restart IDE
2. ✅ Complete OAuth: Authenticate on first use
3. ✅ Test with Simple Feature: Pick small feature from backlog
4. ✅ Provide Feedback: Report issues in #engineering

Beta Program (Week 2-4)​

• 3 pilot engineers selected
• Each implements 2-3 features via autopilot
• Collect metrics: time savings, error rates, feedback quality
• Iterate on error messages and docs

Production Rollout (Week 5+)​

• Deploy to alpha environment (update URLs)
• Rollout to beta (400+ users)
• Monitor adoption rate and success metrics
• Plan v1.1 features based on usage data

Ready to automate your workflow? Install MM Skills now!

cd _masterminds/ide/skills && ./install.sh

End of Release Notes

Version: 1.0.0 Date: 2026-01-18 Status: Production Ready

I get it. Building the right thing is hard. The Product Delivery Master exists to make that part calmer and sharper.

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So... What Is The Product Delivery Master?

The Product Delivery Master (ABM-A) is built to convert design assets into executable build prompts and a delivery playbook.

It helps you:

• break work into EPICs and tasks
• generate setup and build prompts
• create a build manual
• deliver a clean completion summary

No drama. No guesswork. Just clarity.

What It Actually Does (Without the Buzzwords)

The Product Delivery Master walks through agentic building step by step using proven, practical frameworks.

Along the way, it helps you produce things like:

• delivery plans and prompts
• build manuals
• completion summaries and time estimates

Each step builds on the last, so you are not constantly starting over.

Why This Matters

Build stalls when handoffs are vague. This turns design into clear, executable work for AI coders.

The Product Delivery Master is designed to reduce the chaos by keeping things:

• outcome-focused
• evidence-driven
• logically connected

It is not about perfection. It is about fewer regrets.

When The Product Delivery Master Is Useful

The Product Delivery Master is especially helpful when you are thinking:

• "How do we break this into real build tasks?"
• "What should the AI coders execute first?"
• "Where do setup and build prompts live?"
• "How do we hand off cleanly?"

Masterminds AI -- The Product Delivery Master (ABM-A) Build with clarity.

More capabilities will continue to be introduced in future releases.

I get it. Building the right thing is hard. The Customer Discovery Master exists to make that part calmer and sharper.

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So... What Is The Customer Discovery Master?

The Customer Discovery Master (CDM-A) is built to turn a fuzzy idea into a validated customer and outcome map you can actually trust.

It helps you:

• find the right customer segment
• clarify what people are really trying to get done
• translate pain into measurable outcomes
• decide if the idea is worth building at all

No drama. No guesswork. Just clarity.

What It Actually Does (Without the Buzzwords)

The Customer Discovery Master walks through customer discovery step by step using proven, practical frameworks.

Along the way, it helps you produce things like:

• opportunity assessments
• customer profiles and personas
• job maps and outcome statements

Each step builds on the last, so you are not constantly starting over.

Why This Matters

Most teams rush into features before they know what problem is real. This keeps you grounded in evidence before you spend time or money.

The Customer Discovery Master is designed to reduce the chaos by keeping things:

• outcome-focused
• evidence-driven
• logically connected

It is not about perfection. It is about fewer regrets.

When The Customer Discovery Master Is Useful

The Customer Discovery Master is especially helpful when you are thinking:

• "Is this idea actually worth building?"
• "Who is the real customer, not the imagined one?"
• "What outcomes matter most?"
• "How do we avoid building the wrong thing?"

Masterminds AI -- The Customer Discovery Master (CDM-A) Validate first. Build second.

More capabilities will continue to be introduced in future releases.

I get it. Building the right thing is hard. The Product Design Master exists to make that part calmer and sharper.

{/* truncate */}

So... What Is The Product Design Master?

The Product Design Master (PDM-A) is built to translate solution strategy into a complete design system, UX flows, and build prompts.

It helps you:

• connect design to metrics
• build information architecture
• design user flows and UI systems
• produce build-ready prompts

No drama. No guesswork. Just clarity.

What It Actually Does (Without the Buzzwords)

The Product Design Master walks through product design step by step using proven, practical frameworks.

Along the way, it helps you produce things like:

• value trees and metrics
• navigation and UX flows
• design systems and UI specs
• product requirement prompts

Each step builds on the last, so you are not constantly starting over.

Why This Matters

Design gets messy when artifacts are disconnected. This makes the system coherent and build-ready.

The Product Design Master is designed to reduce the chaos by keeping things:

• outcome-focused
• evidence-driven
• logically connected

It is not about perfection. It is about fewer regrets.

When The Product Design Master Is Useful

The Product Design Master is especially helpful when you are thinking:

• "How do we go from strategy to real UX?"
• "What should the design system include?"
• "How do we keep the UI consistent?"
• "What should builders receive to execute?"

Masterminds AI -- The Product Design Master (PDM-A) Make design inevitable, not improv.

More capabilities will continue to be introduced in future releases.

I get it. Building the right thing is hard. The Solution Discovery Master exists to make that part calmer and sharper.

{/* truncate */}

So... What Is The Solution Discovery Master?

The Solution Discovery Master (SDM-A) is built to turn customer outcomes into a solution roadmap and a PRD that design and build teams can trust.

It helps you:

• create an outcome-driven roadmap
• map opportunity solution trees
• ideate features with real structure
• produce a build-ready PRD

No drama. No guesswork. Just clarity.

What It Actually Does (Without the Buzzwords)

The Solution Discovery Master walks through solution discovery step by step using proven, practical frameworks.

Along the way, it helps you produce things like:

• roadmaps and competitive insights
• opportunity solution trees
• feature briefs and product requirements

Each step builds on the last, so you are not constantly starting over.

Why This Matters

Most teams brainstorm features without a clear path to value. This turns outcomes into solutions with a clean, testable structure.

The Solution Discovery Master is designed to reduce the chaos by keeping things:

• outcome-focused
• evidence-driven
• logically connected

It is not about perfection. It is about fewer regrets.

When The Solution Discovery Master Is Useful

The Solution Discovery Master is especially helpful when you are thinking:

• "Which solutions actually match the customer outcomes?"
• "What should the MVP roadmap be?"
• "How do we avoid feature roulette?"
• "What goes into a real PRD?"

Masterminds AI -- The Solution Discovery Master (SDM-A) Turn outcomes into a roadmap you can commit to.

More capabilities will continue to be introduced in future releases.

Strategic planning fails for boring reasons: vague objectives, unclear dependencies, and ROI that lives in a spreadsheet nobody trusts. You do not need more brainstorming. You need a thesis that can survive leadership scrutiny.

That is what the OKRs Initiatives Planning Master does.

So... What Is The OKRs Initiatives Planning Master?

The OKRs Initiatives Planning Master (OPM-RDS) is a structured system for turning strategic intent into a decision-ready thesis package.

It helps you: • define the real problem before you commit to a solution • turn intent into a structured, testable thesis • map dependencies and execution timing • build a calendar and investment plan leadership can approve • land on a one-pager and narrative that aligns the room

No fluff. Just a plan that can be funded, staffed, and shipped.

What It Actually Does (Without the Buzzwords)

The OKRs Initiatives Planning Master moves from structure to economics to narrative in one continuous flow: • problem statement to structured thesis • value tree and indicators to sizing and ROI • dependencies to execution calendar to investment plan • one-pager and story and critique prep

Each step builds on the last. No rework loops, no contradictions.

Why This Matters

Most teams do not fail because they lack ideas. They fail because their plans cannot survive scrutiny.

The OKRs Initiatives Planning Master is designed to keep things: • outcome-focused • financially defensible • sequenced for execution

It is not about perfection. It is about clarity and alignment.

When The OKRs Initiatives Planning Master Is Useful

Use it when you are asking: • Is this thesis actually fundable? • What has to happen first? • How do we defend this ROI? • Can leadership say yes without guesswork?

If you need a plan that survives reality, this is it.

Masterminds AI - The OKRs Initiatives Planning Master (OPM-RDS) Decision-ready theses. Execution-ready plans.

More capabilities will continue to be introduced in future releases.

TL;DR: Meet Your New Agents

• Visual/Data Storyteller:
  Instantly analyze images by pasting or uploading them. The Visual/Data Storyteller ingests spreadsheets and data, then turns everything into smart visual stories, summaries, and presentations at lightning speed—no human designer required. Instantly analyze images by pasting or uploading them.

• Product Guru:
  Specializes in product strategy and critical feedback. Drop in your docs or product artifacts and the Product Guru will provide actionable reviews, strategy insights, blind spot detection, prioritization, and stakeholder-style feedback.

• Masterminds Operator (Free Spirit Chatter):
  Your real-time brainstorming and creative partner. The Masterminds Operator is always ready for rapid Q&A, “what if” exploration, instant code samples, and MVP prototyping—with extra-fast, unconstrained, and flexible conversation flow.

🎩 Visual/Data Storyteller

Key Features:

• Image Understanding & Analysis:
  Paste (Ctrl+V) or upload PNG, JPG, GIF, or WebP images right into chat. The Visual/Data Storyteller instantly analyzes screenshots, wireframes, or sketches, validates files, and shows thumbnails.

• Visual Data & Document Creation:
  Load spreadsheets or other data documents and the Visual/Data Storyteller will generate dynamic visual summaries, reports, and full presentations—connecting to sources via MCP for even richer visual storytelling.

• Speed:
  Produces visual documents, motion graphics, and slide narratives in under a minute, ready for feedback or sharing.

Try The Visual/Data Storyteller When You Need:
Pitch decks, animated explainers, research summaries, or instant design critiques—just drop in your idea, sketch, or data.

🧠 Product Guru

Key Features:

• Advanced Strategy Intelligence:
  Ingest your product docs or development artifacts—the Product Guru analyzes, spots patterns, and uncovers critical paths, risks, competitive gaps, and improvement opportunities.

• Senior-Level Feedback:
  Get review and feedback as if from a veteran product lead. The Product Guru highlights priorities, flags missing elements, and even roleplays stakeholder questioning.

• How to Use The Product Guru:
  Ask for docs review, critical path analysis, prioritization advice, or a simulated product meeting—you’ll get actionable, strategic guidance instantly.

Try The Product Guru If You’re Asking:
“Will this strategy scale?”, “Are there risks I’m missing?”, or “What’s the fastest path to product/market fit?”

⚡ Masterminds Operator: Free Spirit Chatter

Key Features:

• Turbo Brainstorm & Fast Answers:
  Engage the Masterminds Operator for creative sprints, fast Q&A, or lateral thinking. The Masterminds Operator understands informal requests and supports quick idea generation, code drafts, or playful collaboration.

• Agile, Unlocked Conversations:
  Minimal guardrails mean you can brainstorm “what if”s, iterate on creative ideas, or challenge your own assumptions—always at a rapid pace.

• When to Use The Masterminds Operator:
  Need MVP sketches, fast feedback, playful creative flows, or just immediate answers? The Masterminds Operator moves with you.

Masterminds AI – Agents Only Edition:
Your new AI specialist team is ready—smarter, faster, and tailored entirely for your workflow. Dive in and build, strategize, brainstorm, and create, all with agent power at your side.

Note: This update launches brand-new Agent capabilities. App-level features will return soon in future releases.