Evergences Shared Memory changelog

https://evergences.com/llms.txt

− - [AI ROI Calculator | Evergences](https://evergences.com/roi/): Compare AI workflow cash savings, growth contribution, capacity and ramp-adjusted payback with transparent assumptions.+ - [AI ROI Calculator | Evergences](https://evergences.com/roi/): Explore AI infrastructure cash flows and fixed scenario analysis, or model business workflow cash savings, capacity and payback.+ - [When Historical Data Adds Value | Evergences](https://evergences.com/videos/when-historical-data-adds-value/): Historical data can support differentiation when losing it would materially reduce customer value. Sean contrasts accumulated useful history with data collected for a single interaction.+ - [Build Revenue From Customers | Evergences](https://evergences.com/videos/build-revenue-from-customers/): Sean illustrates bottom-up revenue planning: add what individual customers pay over time rather than relying only on a top-down market-share assumption.+ - [Learn Through Repeated Attempts | Evergences](https://evergences.com/videos/learn-through-repeated-attempts/): Sean uses an illustrative pottery story to contrast learning through repeated attempts with trying to perfect a first version. This is a teaching metaphor, not a verified experiment.+ - [Pair a New Capability With Its Enabling Workflow | Evergences](https://evergences.com/videos/pair-a-new-capability-with-its-enabling-workflow/): Sean describes pairing a new capability with a workflow improvement that enables it, considering both sides together.+ - [Build Depth in More Than One Skill | Evergences](https://evergences.com/videos/build-depth-in-more-than-one-skill/): Sean uses a tic-tac-toe metaphor for combining broad knowledge with depth in more than one skill, rather than relying on a single specialization.+ - [Why Would the Buyer Choose Yours? | Evergences](https://evergences.com/videos/why-would-the-buyer-choose-yours/): Using a water purchase as an example, Sean asks how a buyer chooses between competing products and alternatives.+ - [Budget for AI Delivery Costs | Evergences](https://evergences.com/videos/budget-for-ai-delivery-costs/): Sean discusses input and output token usage as part of the cost of delivering an AI product or service. Accounting treatment depends on the business and arrangement.+ - [What Customers Require Before Buying | Evergences](https://evergences.com/videos/what-customers-require-before-buying/): Sean distinguishes the requirements customers expect before considering a purchase from the features that differentiate a product or service.+ - [People Need to Evolve Too | Evergences](https://evergences.com/videos/people-need-to-evolve-too/): Sean considers how people can build skills as AI changes work, alongside changes in technology, companies and investment.+ - [Look for Friction Near Revenue | Evergences](https://evergences.com/videos/look-for-friction-near-revenue/): Sean uses expense filing, receipts, accounting codes, approvals and rework as an example of friction surrounding revenue-generating work.+ - [Choose Your Nonnegotiable Requirements | Evergences](https://evergences.com/videos/choose-your-nonnegotiable-requirements/): Sean discusses using experience and judgment to decide where to compromise and which requirements should remain nonnegotiable.+ - [Design for a Feeling | Evergences](https://evergences.com/videos/design-for-a-feeling/): Sean describes an illustrative design exercise: start with a meaningful memory or feeling, then connect it to colors, materials, movement and craftsmanship.+ - [Study What You Already Buy | Evergences](https://evergences.com/videos/study-what-you-already-buy/): Sean suggests studying products you already own and use throughout the day, then comparing the reasons behind those purchase decisions.+ - [Fundraising Stories Have Survivorship Bias | Evergences](https://evergences.com/videos/fundraising-stories-have-survivorship-bias/): Sean highlights survivorship bias in fundraising coverage: successful raises receive attention while unsuccessful attempts are less visible. This is a qualitative observation, not a measured failure rate.+ - [Where Is the Customer Connection? | Evergences](https://evergences.com/videos/where-is-the-customer-connection/): Examine the relationship between a buyer and a product company. Ask where that connection lives, how strong it is and whether you invest in it.+ - [Build Products People Keep Using | Evergences](https://evergences.com/videos/build-products-people-keep-using/): Durable materials are part of lasting design. Continued usefulness matters too: consider the objects, tools and spaces people return to over time.+ - [Three Ways a Product Conversation Travels | Evergences](https://evergences.com/videos/three-ways-a-product-conversation-travels/): One-to-one conversations, one-to-many communication and word of mouth play different roles when a product reaches people. Start by distinguishing them.+ - [Customer Criticism Can Be a Product Signal | Evergences](https://evergences.com/videos/customer-criticism-can-be-a-product-signal/): A complaint about a seam, durability or an unmet need can reveal something specific to investigate. Look for the product detail behind the criticism.+ - [Which Requirements Matter Most to Your Customer? | Evergences](https://evergences.com/videos/which-requirements-matter-most-to-your-customer/): Listen for the requirements customers prioritize. Security, scalability, price, ROI and new capabilities can matter differently to different buyers.+ - [What Business Result Should Your Roadmap Change? | Evergences](https://evergences.com/videos/what-business-result-should-your-roadmap-change/): Connect quarterly product work to a business question: what revenue or EBITDA impact is the investment intended to support? Make that link explicit.+ - [A Product Spec Starts the Conversation | Evergences](https://evergences.com/videos/a-product-spec-starts-the-conversation/): Mockups, requirements and blueprints help communicate a product. Bringing them into an implementation still involves conversation, debate and compromise.+ - [Who Pays for an Ad-Supported Product? | Evergences](https://evergences.com/videos/who-pays-for-an-ad-supported-product/): An ad-supported service has users and paying advertisers. Examine how those different roles can shape engagement goals and create incentive tension.+ - [Give People a Reason to Follow What Comes Next | Evergences](https://evergences.com/videos/give-people-a-reason-to-follow-what-comes-next/): A brand can offer an unfolding story through its products and experiences. Consider what makes someone want to see the next chapter, beyond a new colorway.+ - [Who Is Responsible for Product Craftsmanship? | Evergences](https://evergences.com/videos/who-is-responsible-for-product-craftsmanship/): Ask who is steering the product and who cares about craftsmanship. A screen shows only part of what someone experiences when they encounter the real thing.+ - [Build From the Materials Up | Evergences](https://evergences.com/videos/build-from-the-materials-up/): Slow down enough to work with the people who understand the raw materials. Build toward a product vision layer by layer, with care for the components.+ - [Trust Can Be a Buying Requirement | Evergences](https://evergences.com/videos/trust-can-be-a-buying-requirement/): Buying criteria can include trust, data use and values as well as features.+ - [Publicity Changes What a Brand Signals | Evergences](https://evergences.com/videos/publicity-changes-what-a-brand-signals/): Publicity can affect what a brand stands for and what buying it signals. Evaluate the attention in relation to the values you want the product to communicate.+ - [Explain the Detail That Led You to Build It | Evergences](https://evergences.com/videos/explain-the-detail-that-led-you-to-build-it/): Explain the product detail that was missing from the alternatives. Use a concrete illustration to make the difference understandable to the customer.+ - [Iteration Needs Market Feedback | Evergences](https://evergences.com/videos/iteration-needs-market-feedback/): A new feature or colorway is not the whole iteration process. Refine the product through interaction with the market and what that interaction teaches you.+ - [Observe What Sells at Different Price Points | Evergences](https://evergences.com/videos/observe-what-sells-at-different-price-points/): Observe purchases at different price points while recording what else changes. Interpret the pattern alongside differences in product, audience and conditions.+ - [Taste Is More Than Spotting a Trend First | Evergences](https://evergences.com/videos/taste-is-more-than-spotting-a-trend-first/): Taste is not simply discovering a song or wearing a trend before someone else. Explore the distinction between being first and developing a sturdier preference.+ - [Where Can You Add Value Beyond a Repeated Task? | Evergences](https://evergences.com/videos/where-can-you-add-value-beyond-a-repeated-task/): For work built around repeated steps, consider value beyond the process: judgment, improvement or helping automate it.+ - [Design for Trust in the Product Experience | Evergences](https://evergences.com/videos/design-for-trust-in-the-product-experience/): A welcoming interaction can be part of a product’s value. Consider how safety, calm and the fear of data misuse shape the experience of a simple text box.+ - [How Funding Choices Shape Business Priorities | Evergences](https://evergences.com/videos/how-funding-choices-shape-business-priorities/): Funding choices can influence whose needs receive attention. Consider the role of customer revenue when weighing debt and equity in a business.+ - [Look Beyond Views to Customer Actions | Evergences](https://evergences.com/videos/look-beyond-views-to-customer-actions/): Observe shares, bookmarks, outreach and purchases alongside views. Follow the numbers with conversations that can help explain what people cared about.+ - [Why a Faster Result Can Be Worth Paying For | Evergences](https://evergences.com/videos/why-a-faster-result-can-be-worth-paying-for/): Customer urgency can shape willingness to pay. Shipping and transaction-processing examples show why the value of speed depends on the problem and the buyer.+ - [How Does Your Business Keep Getting Paid? | Evergences](https://evergences.com/videos/how-does-your-business-keep-getting-paid/): Ask whether customers keep paying or must be found again each cycle.+ - [AI Can Speed the Product Workflow | Evergences](https://evergences.com/videos/ai-can-speed-the-product-workflow/): An idea must become a design, implementation and usable product. AI may accelerate that work while the translation from idea to reality still needs to happen.+ - [What Do You Want to Stand For? | Evergences](https://evergences.com/videos/what-do-you-want-to-stand-for/): Clarify the principles you want your work to stand for, and consider how shared values can outlast a project.

Showing the first 40 of each.

https://evergences.com/llms.txt

− - [Products — Bitcoin Capsule, Shared Memory & More | evergences](https://evergences.com/products/): Explore Bitcoin Capsule, Shared Memory, PROME Care Core, and Jetpack Glasses. Products for AI agents, robotics, and Analog Augmented Reality.− - [Autonomous Enterprise engagement | evergences](https://evergences.com/services/autonomous-enterprise/): Assess and build an adaptable enterprise with Sean Everett. Transform legacy and AI-native businesses through an agreed scope for defensible, profitable growth.− - [AI & Technical Due Diligence | evergences](https://evergences.com/services/ai-technical-due-diligence/): Assess one acquisition target with Sean Everett. Review product and AI capabilities, technical foundations, risks and opportunities. Scope, fees and timing agreed in a proposal.− - [AI Product Builds | evergences](https://evergences.com/services/ai-product-builds/): Define and build an AI-native product with Sean Everett. Discovery, product strategy, prototype, agreed implementation, evaluation and launch readiness within a scoped engagement.− - [Build AI Models | evergences](https://evergences.com/services/build-ai-models/): Build and evaluate a model for a repeated business task with Sean Everett. Authorized data preparation, licensed open-weight model selection, fine-tuning and scoped deployment.− - [Interim Chief AI Officer | evergences](https://evergences.com/services/interim-chief-ai-officer/): Establish AI priorities, deliver a bounded pilot and prepare an orderly handover to a permanent leader with Sean Everett.− - [evergences — Inventions, Innovations, & Firsts](https://evergences.com/): Explore Sean Everett’s creations in AI, robotics, cloud computing, and spatial computing, their planetary-scale impact, and memos on our shared future.+ - [AI ROI Calculator | Evergences](https://evergences.com/roi/): Compare AI workflow cash savings, growth contribution, capacity and ramp-adjusted payback with transparent assumptions.+ - [Videos | Evergences](https://evergences.com/videos/): Short videos from Sean Everett on AI, customer discovery, product design and growth. Watch a clip, explore its ideas and read the transcript.+ - [AI Chatbot Checkbox | Evergences](https://evergences.com/videos/ai-chatbot-checkbox/): An AI chatbot can become a purchasing checkbox rather than a differentiator. Sean discusses the distinction between a common feature and a distinctive customer capability.+ - [Tools Change, Outcomes Remain | Evergences](https://evergences.com/videos/tools-change-outcomes-remain/): A house-building analogy separates changing tools from the outcome a customer still needs. AI is considered as a tool for delivering that outcome.+ - [Give Customers a Superpower | Evergences](https://evergences.com/videos/give-customers-a-superpower/): What useful new capability could make a customer’s life faster, better, easier or cheaper? Sean asks how a product could create meaningful customer value.+ - [Pay for Outcomes | Evergences](https://evergences.com/videos/pay-for-outcomes/): A service buyer may value closed-won customers over leads at the top of a funnel. Sean distinguishes an outcome from an intermediate activity.+ - [Discovery Is Not a Pitch | Evergences](https://evergences.com/videos/discovery-is-not-a-pitch/): Customer discovery is a listening exercise. Start with understanding rather than selling.+ - [Let the Technology Disappear | Evergences](https://evergences.com/videos/let-the-technology-disappear/): Technology should support the human experience. Adding a feature is only useful when the experience gets better.+ - [What Can Only You Build Together | Evergences](https://evergences.com/videos/what-can-only-you-build-together/): A useful partnership question: what can we create together that neither of us could create alone?+ - [Choose Execute Review | Evergences](https://evergences.com/videos/choose-execute-review/): Choose the task, check that the tool can do it, then review the result. Execution is only part of the workflow.+ - [Purpose Meets Customer Value | Evergences](https://evergences.com/videos/purpose-meets-customer-value/): Start with work that matters to you, then ask what value someone else would pay for.+ - [Learn Where the Potholes Are | Evergences](https://evergences.com/videos/learn-where-the-potholes-are/): Trying, failing and learning can improve the next attempt. Experience matters when tools change quickly.+ - [Follow the Thread | Evergences](https://evergences.com/videos/follow-the-thread/): Ask about a real problem. Listen to the answer. Then follow the thread with a useful question.+ - [How Are Decisions Made | Evergences](https://evergences.com/videos/how-are-decisions-made/): How are decisions made? Who decides, how long does it take, and what evidence matters?+ - [Can You Do It Again | Evergences](https://evergences.com/videos/can-you-do-it-again/): The test of a capability: can you deliver it again, consistently, over time?+ - [Internal and Customer Facing AI | Evergences](https://evergences.com/videos/internal-and-customer-facing-ai/): Separate internal workflow improvements from the experience your customer sees. Both deserve a deliberate decision.+ - [Your Combination of Skills | Evergences](https://evergences.com/videos/your-combination-of-skills/): Individual skills can look ordinary. The useful combination you build over time can be much more distinctive.+ - [AI as a Creative Partner | Evergences](https://evergences.com/videos/ai-as-a-creative-partner/): There are only so many hours in a day. Think about the help that would actually support what you are trying to create.+ - [Imagine the Useful Thing | Evergences](https://evergences.com/videos/imagine-the-useful-thing/): A design exercise: put the constraints aside briefly and imagine one useful thing that would make daily life easier.+ - [Different Layers Different Speeds | Evergences](https://evergences.com/videos/different-layers-different-speeds/): A house is a useful way to picture pace layers: the frame, the walls, the furniture and daily life change on different schedules.+ - [Values Include Consequences | Evergences](https://evergences.com/videos/values-include-consequences/): Building something helpful also means thinking about its second- and third-order consequences.+ - [Separate Opinion and Evidence | Evergences](https://evergences.com/videos/separate-opinion-and-evidence/): Separate the opinion from its underlying principles and evidence. Ask what another person could independently check.+ - [Grow the Pie | Evergences](https://evergences.com/videos/grow-the-pie/): An ecosystem can create value beyond a fight over the same customer. What could grow the pie?+ - [Put the Decision in the Middle | Evergences](https://evergences.com/videos/put-the-decision-in-the-middle/): Put the decision in the middle. Test the idea together rather than treating disagreement as a personal attack.+ - [Ask Why They Choose | Evergences](https://evergences.com/videos/ask-why-they-choose/): Ask what customers keep choosing, then ask why. The reasoning behind a preference can be more useful than the preference alone.+ - [Ideas You Can Move | Evergences](https://evergences.com/videos/ideas-you-can-move/): A design thought experiment: what if ideas and AI architectures could be manipulated like physical objects?+ - [The Work Between Wanting and Getting | Evergences](https://evergences.com/videos/the-work-between-wanting-and-getting/): An outcome often depends on more than one tool: people, communication, purchases and coordination. Where can you reduce that work?+ - [Some Layers Should Change Slowly | Evergences](https://evergences.com/videos/some-layers-should-change-slowly/): Before rebuilding a system, distinguish its durable structure from its faster-changing layers.+ - [Tools Are Not the Mission | Evergences](https://evergences.com/videos/tools-are-not-the-mission/): AI, robotics and other technologies are tools. Which mission are they serving?+ - [Fascination Sustains the Work | Evergences](https://evergences.com/videos/fascination-sustains-the-work/): If you will work on a problem for years, what keeps you drawn to it? Start with a fascination that can sustain the work.+ - [Escape the Feature Copying Loop | Evergences](https://evergences.com/videos/escape-the-feature-copying-loop/): Once baseline requirements are met, avoid an endless feature-copying loop. What is the larger strategic choice?+ - [The Decisions Your AI Inherits | Evergences](https://evergences.com/videos/the-decisions-your-ai-inherits/): When decision principles are encoded into software, their effects reach customers. Be deliberate about what you encode.+ - [Map the Use Case Before the Code | Evergences](https://evergences.com/videos/map-the-use-case-before-the-code/): An AI use case needs more than code: define the behaviour you want, then check the result.+ - [Ask for the Reasoning | Evergences](https://evergences.com/videos/ask-for-the-reasoning/): Ask which principles support a claim, then ask for the evidence.+ - [Growth Needs More Than Maintenance | Evergences](https://evergences.com/videos/growth-needs-more-than-maintenance/): Keeping the business running and improving it are different jobs. Growth asks for investment in product, service and customer experience.+ - [Questions That Reveal the Choice | Evergences](https://evergences.com/videos/questions-that-reveal-the-choice/): Try asking how two options feel different, why someone would choose one, and what feels expensive. Listen to the answer.+ - [Learning Speed Changes the Gap | Evergences](https://evergences.com/videos/learning-speed-changes-the-gap/): A learning advantage depends on the pace of improvement, not just where you started. What helps your team learn faster?+ - [Find Your Own Taste | Evergences](https://evergences.com/videos/find-your-own-taste/): A quiet starting point for taste: remove the noise and ask what genuinely draws your attention.+ - [Build From Lived Experience | Evergences](https://evergences.com/videos/build-from-lived-experience/): Your experiences, interactions and ways of seeing the world can become material for new products and services.+ - [Strategy Is a Set of Choices | Evergences](https://evergences.com/videos/strategy-is-a-set-of-choices/): Sean describes strategy through decisions about the market, team, brand, product, service and resources.

https://evergences.com/llms.txt

− - [Growth Playbook PDF for Experts & Small Businesses | Evergences](https://evergences.com/products/growth-playbook/): Turn practiced capabilities into a productized offer, find prospects and prepare customer conversations. A 77-page PDF for $195 USD once. Preview three sample pages.− - [Evergences Growth Support — Setup, Evidence & Permissions | evergences](https://evergences.com/support/evergences-growth/): Get help with Evergences Growth macOS local setup, saving, evidence labels, host search, Gmail and Google Calendar. Contact sean@evergences.com.− - [Shared Memory — Keep Your Team’s AI Agents Working Together | evergences](https://evergences.com/products/shared-memory/): Shared context, clear ownership, fewer repeated tasks. Team-agent coordination is in development; register interest in a pilot.− - [Services — Technology Diligence, AI & Invention | evergences](https://evergences.com/services/): Technology due diligence for private equity, AI products for Fortune 500 companies, emerging technology invention, and startup product advisory with Sean Everett.− - Services: technology due diligence, enterprise AI products, emerging technology invention, and startup product advice.− - [Shared Memory](https://evergences.com/products/shared-memory/): Help teammates’ AI agents share context, coordinate work, and surface risks and opportunities. Status: Team pilot in development.− - [PROME Care Core](https://prome.ai/care-core): Core values for AI and robotics. Explore how PROME separates understanding a request from checking values and permission. Status: Research demo.− - [Jetpack Glasses](https://jetpackglasses.com): Analog Augmented Reality glasses combining sunglasses and blue and green light filtering, without electronics, AI, or an Internet connection. Status: Analog Augmented Reality.− - [Growth Playbook](/products/growth-playbook/): A step-by-step PDF to identify capabilities, productize an offer, find prospects and prepare pitches. Separate OpenAI Codex plugin coming soon. The standalone PDF is $195 USD once. Status: Published.− - MCP tools: list_memos, read_memo, search_content, read_content, list_capabilities, search_memories and read_memory. Use resources/list to discover full documents.+ - [Transformations — Before, Work, After & Value | evergences](https://evergences.com/transformations/): Explore transformations across product delivery, AI, growth, commercialization and operations: the starting situation, Sean Everett’s role, the work, the result and the value created.+ - [Growth Playbook PDF for Experts & Small Businesses | Evergences](https://evergences.com/products/growth-playbook/): Choose a distribution channel, shape a supported offer and prepare customer conversations. An 83-page PDF for $195 USD once. Preview three sample pages.+ - [Shared Memory — Connect Your AI Agent | evergences](https://evergences.com/products/shared-memory/): Use Shared Memory now through MCP: source-linked public notes, private workspaces and versioned evidence. Developer beta limits apply.+ - [Services — Technology Diligence, AI & Invention | evergences](https://evergences.com/services/): Explore five engagements with Sean Everett: Autonomous Enterprise, AI & Technical Due Diligence, AI Product Builds, Build AI Models and Interim Chief AI Officer. Review scope, outputs, client inputs and proposal-based terms.+ - [Math Leaders Win — Sean Everett | evergences](https://evergences.com/memos/math-leaders-win/): Take a look around you. Everything in the universe, manmade or otherwise, is built on mathematics.+ - Services: Autonomous Enterprise, AI & Technical Due Diligence, AI Product Builds, Build AI Models and Interim Chief AI Officer. Human-led engagements with scope, client inputs and proposal-based terms.+ - [Services and current offers](https://evergences.com/services/#current-offers): The engagement overview and individual briefs.+ - [Transformations](https://evergences.com/transformations/): Starting situations, work, results and evidence limits across the public experience library.+ - [Shared Memory](https://evergences.com/products/shared-memory/): A developer beta for source-linked notes, private workspaces and versioned evidence. Broader team-agent coordination is in development. Status: Developer beta available.+ - [PROME Care Core](https://prome.ai/care-core): A separate API/MCP pilot for bounded permission checks. Contract 2 signed checks require trusted-host registration beyond a subscription; advice and connection do not execute actions or grant permissions. Status: API/MCP pilot.+ - [Jetpack Glasses](https://jetpackglasses.com/): Analog Augmented Reality glasses combining sunglasses and blue and green light filtering, without electronics, AI, or an Internet connection. Status: Analog Augmented Reality.+ - [Growth Playbook](https://evergences.com/products/growth-playbook/): A step-by-step PDF to turn practiced capabilities into an offer and prepare customer conversations. Separate direct-install Codex CLI beta for macOS. The standalone PDF is $195 USD once. Status: Published.+ - MCP tools (nine public read-only): list_memos, read_memo, search_content, read_content, get_content_updates, list_capabilities, search_memories, read_memory and read_memory_context. Use resources/list to discover full documents.

package_identifier

https://github.com/seanmeverett/shared-memory-mcp/releases/download/v1.1.5/evergences-shared-memory.mcpb → https://github.com/seanmeverett/shared-memory-mcp/releases/download/v1.1.6/evergences-shared-memory.mcpb

version

1.1.5 → 1.1.6

https://evergences.com/llms.txt

− - [Internal AI Workflow Assessment | evergences](https://evergences.com/services/ai-workflow-assessment/): Assess one internal AI workflow with Sean Everett. Get a prioritized MVP, roadmap and evaluation metrics grounded in adoption, data access and operating ownership.− - [Sean Everett — Biography, Inventions & Patents | evergences](https://evergences.com/sean-everett/): Sean Everett’s full biography: inventions, patents, entrepreneurship, AI, spatial computing, and product leadership. Explore his work, ventures, and press coverage.+ - [Growth Playbook PDF for Experts & Small Businesses | Evergences](https://evergences.com/products/growth-playbook/): Turn practiced capabilities into a productized offer, find prospects and prepare customer conversations. A 77-page PDF for $195 USD once. Preview three sample pages.+ - [Evergences Growth Support — Setup, Evidence & Permissions | evergences](https://evergences.com/support/evergences-growth/): Get help with Evergences Growth macOS local setup, saving, evidence labels, host search, Gmail and Google Calendar. Contact sean@evergences.com.+ - [Autonomous Enterprise | evergences](https://evergences.com/case-studies/autonomous-enterprise/): Self-reported experience: Building an AI-assisted business across departments, with evidence and human accountability. An ongoing own-business implementation, with published assets, released software and verified individual workflows.+ - [Offers | evergences](https://evergences.com/offers/): Autonomous Enterprise, AI & Technical Due Diligence, AI Product Builds, Build AI Models and Interim Chief AI Officer with Sean Everett. Review each engagement’s scope, outputs and client inputs, then discuss a proposal.+ - [Autonomous Enterprise engagement | evergences](https://evergences.com/services/autonomous-enterprise/): Assess and build an adaptable enterprise with Sean Everett. Transform legacy and AI-native businesses through an agreed scope for defensible, profitable growth.+ - [AI & Technical Due Diligence | evergences](https://evergences.com/services/ai-technical-due-diligence/): Assess one acquisition target with Sean Everett. Review product and AI capabilities, technical foundations, risks and opportunities. Scope, fees and timing agreed in a proposal.+ - [AI Product Builds | evergences](https://evergences.com/services/ai-product-builds/): Define and build an AI-native product with Sean Everett. Discovery, product strategy, prototype, agreed implementation, evaluation and launch readiness within a scoped engagement.+ - [Build AI Models | evergences](https://evergences.com/services/build-ai-models/): Build and evaluate a model for a repeated business task with Sean Everett. Authorized data preparation, licensed open-weight model selection, fine-tuning and scoped deployment.+ - [Interim Chief AI Officer | evergences](https://evergences.com/services/interim-chief-ai-officer/): Establish AI priorities, deliver a bounded pilot and prepare an orderly handover to a permanent leader with Sean Everett.+ - [Sean Everett — Biography, Inventions & Patents | evergences](https://evergences.com/sean-everett/): Sean Everett’s advanced mathematics training began at 13 and informs his work in AI product development, technical diligence and investment decisions.+ - [From Static to Dynamic Software — Sean Everett | evergences](https://evergences.com/memos/from-static-to-dynamic-software/): Sean Everett on the shift from static to dynamic software and what faster learning cycles mean for businesses.+ - [Insights & Case Studies — Sean Everett | evergences](https://evergences.com/memos/insights-case-studies/): Explore approximately 100 insights and 30 case studies on AI, product development, growth and technical diligence from Evergences.+ - [How to Build Proprietary Models — Sean Everett | evergences](https://evergences.com/memos/how-to-build-proprietary-models/): Sean Everett’s eight-step guide to building proprietary models with business examples, local fine-tuning, held-out testing and deployment.+ - [Driving AI ROI — Sean Everett | evergences](https://evergences.com/memos/driving-ai-roi/): How do you ensure you drive ROI from AI? You give the keys to the right all-in-one person.+ - [Growth Playbook — Sean Everett | evergences](https://evergences.com/memos/growth-playbook/): Turn work you know well into a clear offer, find people who need it, and start a useful conversation. Explore the Growth Playbook with Sean Everett.+ - [Growth Playbook](/products/growth-playbook/): A step-by-step PDF to identify capabilities, productize an offer, find prospects and prepare pitches. Separate OpenAI Codex plugin coming soon. The standalone PDF is $195 USD once. Status: Published.

package_identifier

https://github.com/seanmeverett/shared-memory-mcp/releases/download/v1.1.0/evergences-shared-memory.mcpb → https://github.com/seanmeverett/shared-memory-mcp/releases/download/v1.1.5/evergences-shared-memory.mcpb

version

1.1.0 → 1.1.5

https://evergences.com/llms.txt

− - [Specialties — Technology Diligence, AI & Invention | evergences](https://evergences.com/specialties/): Technology due diligence for private equity, AI products for Fortune 500 companies, emerging technology invention, and startup product advisory with Sean Everett.− - Specialties: technology due diligence, enterprise AI products, emerging technology invention, and startup product advice.+ - [Insights — AI, Products & Technology | evergences](https://evergences.com/insights/): Practical insights on AI, product development, technology diligence, and the systems that support them. By Sean Everett.+ - [How should an AI agent decide whether it can act? | evergences](https://evergences.com/insights/ai-agent-permission-checks/): Separate understanding a request, checking permission and executing an action. Make the action, destination and approval explicit before an agent changes anything.+ - [How do AI teams keep shared context current? | evergences](https://evergences.com/insights/durable-context-for-ai-teams/): Give shared work stable records, explicit versions and a clear path from proposed changes to adopted decisions. Preserve enough context for the next task to continue.+ - [How do you turn an enterprise AI pilot into a working product? | evergences](https://evergences.com/insights/enterprise-ai-pilot-to-product/): Choose a complete employee workflow, assign its dependencies and build the path through access, delivery and support before expanding the rollout.+ - [How do you take a physical product from idea to launch? | evergences](https://evergences.com/insights/physical-product-concept-to-launch/): Connect the customer experience, supplier specification, complete unit cost and launch promise. Build the first version around something you can manufacture and deliver consistently.+ - [What makes an AI software business defensible? | evergences](https://evergences.com/insights/ai-software-business-defensibility/): Locate the advantage in the customer workflow, usable data, product integration and delivery capability. Ask what remains valuable as models and competitors improve.+ - [How should a marketplace qualify customers before matching them? | evergences](https://evergences.com/insights/marketplace-customer-qualification/): Help customers define the job, understand its likely scope and reach an appropriate provider. Ask questions that improve the match and make the next step clear.+ - [How can pricing presentation make a purchase easier to understand? | evergences](https://evergences.com/insights/pricing-presentation-purchase-decisions/): Show what a price buys, how it is calculated and what can change before commitment. Match the explanation to the service and measure the complete purchase journey.+ - [When should a product offer hands-on onboarding? | evergences](https://evergences.com/insights/service-assisted-product-onboarding/): Use initial assistance to help customers reach a clear first result. Define the work the service covers, what the customer owns and how the relationship moves into ongoing product use.+ - [How do you test demand before building a platform? | evergences](https://evergences.com/insights/manual-demand-tests-before-building/): Deliver a small version of the proposed experience by hand. Observe the interaction people return for, the work needed to support it and the commitment they are willing to make.+ - [How should a product team separate activation from retention? | evergences](https://evergences.com/insights/activation-retention-product-metrics/): Define the first useful result, repeat use and participation as separate measures. Compare consistent customer groups and connect each measure to a specific product decision.+ - [How do you modernize a platform while customers still depend on it? | evergences](https://evergences.com/insights/legacy-platform-modernization-roadmap/): Organize modernization around customer workflows, migration paths and operating responsibilities. Make progress in releasable pieces while preserving the service people rely on.+ - [How do you package hardware, software and service into one subscription? | evergences](https://evergences.com/insights/hardware-software-service-subscription/): Define the working customer outcome, the responsibilities included in the price and the partner handoffs needed to deliver it. Plan support and replacement alongside the product.+ - [How do you find a commercial use for a new technology? | evergences](https://evergences.com/insights/technology-invention-commercial-path/): Connect a technical capability with a specific customer problem, a buyer and a feasible path to delivery. Use demonstrations and partner conversations to resolve distinct commercial questions.+ - [What makes an enterprise knowledge assistant useful at work? | evergences](https://evergences.com/insights/knowledge-assistant-work-context/): Connect answers to the task, the source material and the next decision. Build access, currency and unresolved questions into the experience from the beginning.+ - [How do you design a generative-media product around a complete workflow? | evergences](https://evergences.com/insights/generative-media-workflow-design/): Connect the creative brief, generation, review and usable output. Define quality at each stage and make revisions, cost and failure handling part of the product.+ - [How do you make a product feel coherent across phones and wearables? | evergences](https://evergences.com/insights/cross-device-product-continuity/): Give each device a clear role while preserving the task across transitions. Define shared state, synchronization and notifications around what the person is trying to do.+ - [How do you build a content workflow that teaches you what an audience values? | evergences](https://evergences.com/insights/content-production-audience-learning/): Connect production capacity with consistent measures of reach, return behavior and response. Change formats deliberately and keep audience definitions stable enough to learn from them.+ - [How do you turn an operating improvement into a repeatable team process? | evergences](https://evergences.com/insights/operating-process-team-handoff/): Define the work, the owner and the exception path. Combine process changes with training and a few useful measures so the team can carry the improvement into ordinary operations.+ - [How do you make a metrics dashboard useful for decisions? | evergences](https://evergences.com/insights/operating-metrics-decisions/): Connect each measure to a question, an owner and a possible action. Keep outcomes, drivers and constraints visible so the review leads to a decision the team can follow through.+ - [What should change between a prototype, a beta and a production release? | evergences](https://evergences.com/insights/release-readiness-prototype-beta-production/): Give each stage a clear purpose, a defined audience and a decision to support. Expand the operating responsibilities as the product moves toward everyday customer use.+ - [How do you turn a technology assessment into product priorities? | evergences](https://evergences.com/insights/technology-assessment-product-priorities/): Connect technical findings with the workflows they affect, the decisions they change and the work required to respond. Keep dependencies and uncertainty visible when choosing the sequence.+ - [How do you structure a technical partnership around a product goal? | evergences](https://evergences.com/insights/research-partnership-product-delivery/): Define the capability each partner contributes and the result the product team needs. Make interfaces, responsibilities and the next decision clear before expanding the collaboration.+ - [How do you keep an AI product flexible as its underlying services change? | evergences](https://evergences.com/insights/stable-ai-integration-boundaries/): Define a stable boundary around the job your application needs done. Keep provider-specific behavior visible, and test replacements against the complete workflow before changing what customers use.+ - [What should users understand before relying on a product’s data? | evergences](https://evergences.com/insights/product-data-scope-and-lineage/): Make the path from input to displayed result understandable. Show the scope, freshness and important assumptions behind the output, including the difference between observed and inferred information.+ - [How do you compare integration options for a product portfolio? | evergences](https://evergences.com/insights/comparing-product-integration-options/): Compare the customer outcome, technical changes and organizational work required by each path. Include the transition period and the responsibilities that remain after integration.+ - [How do you choose an automation project that fits the operating model? | evergences](https://evergences.com/insights/automation-workload-operating-model/): Start with the work being performed, its variation and the result the organization needs. Include exceptions, review and the use of released capacity when judging an automation opportunity.+ - [What makes a product alert useful instead of distracting? | evergences](https://evergences.com/insights/actionable-product-alerts/): Connect a defined condition with an owner and an expected response. Make urgency, routing and acknowledgment part of the design so alerts help people decide what to do next.+ - [How do you evaluate a software platform beyond its feature list? | evergences](https://evergences.com/insights/workflow-based-platform-evaluation/): Test the customer and administrative workflows that matter to your business. Separate native capabilities from integration work, and compare the complete cost of adopting and operating each option.+ - [How do you reduce delivery risk when critical knowledge sits with one person? | evergences](https://evergences.com/insights/reducing-critical-knowledge-dependencies/): Identify the work that depends on concentrated knowledge, then create practical ways for others to perform and maintain it. Review access, documentation and decision ownership alongside staffing.+ - [How do you keep a growing product understandable as features multiply? | evergences](https://evergences.com/insights/product-coherence-feature-overlap/): Organize capabilities around the jobs users need to complete. Make overlapping features, naming and handoffs explicit so product breadth becomes a coherent experience.+ - [What should you validate before taking an existing product into a new market? | evergences](https://evergences.com/insights/reusing-products-in-new-markets/): Test the customer problem, buying process and delivery requirements in the new setting. Reuse technical capabilities where they fit while checking the commercial assumptions separately.+ - [What should count as done when an AI agent writes code? | evergences](https://evergences.com/insights/ai-generated-code-definition-of-done/): Define completion through working behavior and evidence from checks. Require the agent to inspect, test and explain the change, including what remains unverified.+ - [How do you make product marketing clear without overstating the product? | evergences](https://evergences.com/insights/reviewing-product-marketing-claims/): Review audience language and factual claims as separate parts of the work. Connect the promise to an available capability and keep the conditions that matter to the buyer.+ - [How should you test whether an AI feature performs its actual job? | evergences](https://evergences.com/insights/ai-behavior-evaluation/): Define the behavior that matters, protect a fresh test set and compare complete configurations fairly. Check automated scoring against human judgment and turn observed failures into repeatable tests.+ - [How do you manage an AI feature when the cost of each job varies? | evergences](https://evergences.com/insights/ai-workload-economics/): Measure the complete work behind an accepted result, including retries and supporting services. Test cost reductions against quality, then model how workload mix and usage growth affect the offer.+ - [When are two survey results genuinely comparable? | evergences](https://evergences.com/insights/survey-benchmark-comparability/): Check whether the question, population and estimation method still support the same comparison. Preserve survey versions, test consequential changes and show uncertainty before interpreting a movement as a trend.+ - [How do you test whether a sales channel rewards the behavior you need? | evergences](https://evergences.com/insights/channel-incentive-conflict/): Map who earns, owns and performs the work as a buyer moves between channels. Make credit and handoffs explicit, then test partner activity through completed sales and sustainable delivery.+ - [How do you know whether a service can handle more customers sustainably? | evergences](https://evergences.com/insights/service-scalability/): Count the work behind an accepted delivery, including customer effort and expert review. Test whether a standard or self-service offer changes that work and which capacity constraint appears as demand grows.+ - [How do you find product friction that never becomes a support ticket? | evergences](https://evergences.com/insights/silent-product-friction/): Observe how customers complete real work, including the extra steps and tools they use. Ask for feedback at meaningful moments and check whether an improvement removes the underlying effort.

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