Dr Geanie Asante

A chatbot answers; an agent breaks a goal into steps, connects to tools and executes.

• Asante’s method is repeatable: define a clear outcome, give the agent context such as documents and brand goals, connect it to real systems like a calendar, CRM or project-management platform, maintain human oversight, and start with low-risk tasks such as research, prospecting, scheduling and follow-through.
• The relationship is framed as manager and intern, not full automation.
• More than one post closes with the idea that the future is not typing prompts but stating the outcome and reviewing results at the end of the day.

In one post, Asante uses a webinar launch as a sample mission, then lists seven steps, from defining the outcome to oversight. A companion carousel repeats the sequence in five steps and adds copy-and-paste prompts for each.

The same framing recurs in later AI Insights issues: the agent era judges AI by execution, not conversation.

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The posts lay out a taxonomy: generative AI for text, images, video, code and design; research tools; automation for repetitive tasks; agents that perform multi-step tasks with reasoning; coding tools; and image and design tools.

• Each category comes with a sample prompt.
• The practical takeaway is to combine tools into workflows rather than rely on one tool.

The post lists six categories, each with a prompt—for example, using an agent as an AI operations assistant to research vendors and compare pricing, or asking a coding tool to act as a senior full-stack engineer on an MVP architecture. It closes by inviting readers to comment for a beginner’s guide to which tools to learn first.

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Asante maps AI-assisted building from idea validation through architecture, design, authentication, payments, real-time features, database work and launch.

• Separately, they list free or low-cost tools for branding, websites, email, payments, project management, automation, accounting, CRM and analytics.
• The stated advantage is speed and less blank-page friction, not magic: one app-building post says plainly that AI will not create a successful app on its own.

Eight prompt sets cover building an app with Claude and Replit, from validating demand and defining MVP features to Stripe payments and app-store launch planning. A separate list pairs twenty business functions with one free tool each, and an AI Insights issue reports an AI-built CRM created in a day with no development team.

Later, the AI Insights format added offers tied to this theme, including a 48-Hour AI Employee Launch Kit and a free workshop on building a first multi-step AI automation.

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Each issue follows a similar structure: a handful of brief summaries of current developments, followed by a Prompt of the Week, a Chatbot of the Week and one or two events or offers. Its distinctive move is translation: the posts explain what developments mean for businesses, leaders and professionals, rather than simply reporting them, and often close with a question to invite a response.

Issue #112 covers AI cybersecurity priorities, Meta’s AI talent hire and questions about who controls powerful AI.

• It then adds a prompt for planning thirty days of social content in two hours and a chatbot for student discussion responses.
• Issue #104 links model rollouts and competition for AI researchers to a closing essay in a Heart-Centered AI series that asks where the heart is.

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Asante argues that customers will still pay for expertise even when they can use AI themselves, and that human judgment turns raw output into professional work.

• The posts offer practical tips for verifying AI-generated information, cover calls for stronger safeguards and include a series on keeping human values at the centre of AI.
• The stance is not anti-AI: judgment and checking are presented as conditions for trusting the tools.

Issue #114 pairs autonomous agents and the need for oversight with a discussion of why customers still pay for expertise. Issue #109 includes verification tips and coverage of calls for stronger AI safeguards and Europe’s AI transparency rules.

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The argument is that AI is becoming more autonomous, embedded and strategic, raising questions leaders cannot delegate to tool tips: whether AI will outpace human control in cybersecurity, how quickly autonomous agents will redefine work, and who will lead as AI becomes core infrastructure. These posts frame the moment and ask readers to weigh security, agents and enterprise adoption against one another, rather than offer a step-by-step method.

Issue #93 calls the AI arms race real, describes cybersecurity as both weapon and shield, and ends with three open questions and a poll-style prompt asking readers which matters most: security, agents or enterprise adoption. A later issue reports AI models hacking test networks and businesses seeking more control over their AI infrastructure.

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To understand what Asante means by agentic AI, start here.

Seven numbered points: an agent breaks a large goal into steps and runs them in sequence; start by defining a clear outcome, such as planning a webinar launch with email copy, promo posts and a guest list; give it context and access to tools; connect real systems like a calendar, CRM or project management software; maintain oversight, described as "manager + intern"; begin with low-risk areas such as research, prospecting, scheduling and follow-through; and expect the work to shift from typing prompts to reviewing results at the end of the day. A companion carousel makes the same argument with five starting steps and says it includes copy-paste prompts for each.

For brands planning a campaign

The oversight framing is the usable core for a leadership audience: it treats the agent as staff to manage, not software to install. A session built around this post can focus on one delegated workflow that participants define, resource and review.

Eight prompt sets cover the route from idea to launch: idea validation (demand, competitors, gaps, MVP features, roadmap); full-stack architecture (tech stack, database structure, API endpoints, authentication flow, scaling); a UI/UX design system (screens, navigation, colour palettes, responsive layouts); authentication (login, Google and Apple sign-in, sessions, password reset, roles); payments with Stripe; real-time features such as chat, notifications and presence; the database and API layer; and launch planning, including app store optimisation and a Product Hunt release.

• The post states plainly that AI will not create a successful app; its advantage is speed and less blank-page friction.
• It lists what to ask the tools for rather than showing finished output.

For brands planning a campaign

A ready-made spine for a hands-on workshop: each of the eight steps can become a live demo or participant exercise. The post offers prompt scaffolding, not a documented build with results, so a partner whose audience expects proof should bring their own worked example.

Newcomers wondering whether they teach one tool or the whole landscape should start here.

Six categories, each with a sample prompt: generative AI for text, images, video, code and design; research tools for extracting insights and contradictions from articles; automation for repetitive workflows such as lead capture and CRM updates; agents that perform multi-step tasks with reasoning; coding tools for building and debugging; and image and design tools for graphics and mockups.

• The post argues that ChatGPT is one doorway into AI, and that the advantage comes from knowing which tool to use, when, and how to combine them into workflows.
• It ends by asking readers to comment "AI" for a beginner breakdown of which tools to learn first.

For brands planning a campaign

A useful diagnostic opening for a mixed-seniority room: participants can place themselves in one of the six categories. The comment request also shows a lead-capture habit, relevant to partners planning co-promotion rather than a one-off session.

It is the best example of the publishing rhythm a partner would be buying into.

The issue follows a fixed structure: three news stories summarised in a sentence or two each (AI cybersecurity as a growing priority, Meta's AI talent hire, OpenAI's question of who controls powerful AI); a Prompt of the Week on planning 30 days of social content in a couple of hours; a Chatbot of the Week built for student discussion responses; then two offers — an AI Executive Lab cohort with a discount code, and a free live workshop on building an AI employee, with times and a registration link. The practical items and offers carry more detail than the news summaries.

For brands planning a campaign

The newsletter is a channel Asante controls and a plausible place for a partner credit or co-branded prompt of the week. News coverage is brief, so a sponsored element would need to supply its own substance.

A short, argumentative post rather than a how-to: AI in cybersecurity is both weapon and shield; we are entering an agent era where AI is judged by execution rather than conversation; enterprises are embedding AI in core operations and high-stakes decisions.

• It closes with open questions — will AI outpace human control in cybersecurity, how quickly will autonomous agents redefine work, who leads as AI becomes core infrastructure — and asks readers which of security, agents or enterprise adoption matters most.
• It frames the moment rather than evidencing it.

For brands planning a campaign

Good material for opening an executive conversation with questions instead of tool tips, and for testing whether an audience wants strategy or instruction. Pair it with the practical posts: on its own, it stays at the level of framing.

Useful for judging how much of the feed is original teaching.

A numbered list pairing one business function with one tool: Instagram for branding, Canva for design, Carrd for a website, MailerLite for email, ChatGPT as an AI writer, VidIQ, Ko-Fi, Stripe, Trello, Make, Wave, HubSpot, Toggl, Notion, Tally, Namelix, Substack, NotebookLM and Google Analytics.

• It credits "Original by Yik Chan" and closes with two links of Asante's own and a follow prompt.
• The post gives no reasoning about how the tools fit together or why these were chosen over alternatives.

For brands planning a campaign

Signals that part of the feed is curation rather than original teaching. Partners seeking depth in this area should ask for the reasoning behind the selection; the list alone does not demonstrate it.

The posts repeatedly outline a starting sequence: define a clear mission, feed context, connect tools or APIs, maintain human oversight, and delegate outcomes rather than prompts.

• A separate post places agents alongside generative AI, research, automation, coding, and design tools, while another says the agent era judges AI by execution, not conversation.
• One post describes shopping agents that compare stores, apply filters, and manage subscriptions.
• A recurring caution: oversight remains necessary, especially as agents become more autonomous.

Numbered step lists and copy-and-paste prompts, often framed as a manager-plus-intern relationship rather than full automation.

Oversight is not optional: the posts warn that autonomous agents can outpace human control and call for stronger safeguards.

For brands planning a campaign

This is the strongest direct fit for a workshop series on agentic AI workflows for business leaders. Exercises can cover mission definition, context and API connections, oversight checkpoints, and outcome delegation, using the execution-not-conversation framing as an opening decision criterion.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

One post offers eight prompts for taking an app from idea validation through architecture, UI, authentication, payments, real-time features, database and API work, and launch.

• Another groups examples across generative AI, research, automation, agents, coding, and image or design tools.
• Agentic AI posts include prompts for testing each step, while AI Insights issues feature a Prompt of the Week for tasks such as building an investor-ready business plan or planning thirty days of social media content in two hours.

Numbered prompt libraries, category breakdowns, and carousel prompts for copy and paste.

For brands planning a campaign

Workshop materials can follow a practical prompt-library format, covering validation, architecture, content planning, automation, and review. Leaders can test each prompt on a real business task rather than simply hear about AI capabilities.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

One issue covers an AI arms race, cybersecurity as both weapon and shield, the agent era, and enterprise adoption.

• Later issues cover model rollouts and global competition for AI researchers, AI models hacking test networks, Europe’s AI transparency rules, calls for stronger safeguards, cybersecurity priorities, and who controls powerful AI.
• The format typically moves from news to business or leadership implications, then to a question or resource.

Numbered newsletter-style issues with recurring segments such as Prompt of the Week, Chatbot of the Week, and workshop invitations.

For brands planning a campaign

A workshop series can adapt this briefing rhythm into executive updates, pairing each session’s AI development with a leadership decision. A sponsoring brand could fit naturally into the news-to-implication segment rather than deliver a generic product pitch.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

One lists twenty free tools for branding, websites, email marketing, payments, project management, automation, accounting, CRM, surveys, presentations, and analytics.

• Another maps app building from idea to launch.
• A separate issue says AI built a CRM in one day with no development team.
• Other posts cover e-commerce agents, an AI employee launch kit, and a thirty-day content system.
• The through-line is assembling tools and AI workers into a running operation.

For brands planning a campaign

For a B2B AI training company, this supports workshop modules on no-code and AI-assisted operations, tool selection, and rapid prototyping. Before booking, ask whether Asante teaches leaders to assemble a limited workflow, rather than only discussing AI conceptually.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

One issue concludes a Heart-Centered AI series with a piece asking where the heart is and arguing that human values will shape AI’s future.

• Another says customers will still pay for expertise and that human judgment turns raw AI output into professional work.
• Other issues offer tips for verifying AI-generated information and call for stronger safeguards, while a security-focused issue asks who leads as AI becomes core infrastructure.
• The stance is not anti-AI: judgment and verification make AI use reliable.

For brands planning a campaign

This thread can anchor a governance or responsible-adoption module for leaders who need oversight, verification, and judgment before scaling agents. It gives the series a counterweight to automation enthusiasm.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5

One frames the AI arms race and cybersecurity as both weapon and shield, with enterprises embedding AI in core operations and high-stakes decisions.

• Another covers autonomous agents, the need for oversight and cybersecurity capabilities, and business control over AI infrastructure.
• Further issues discuss AI models hacking test networks, Europe’s transparency rules, competition for AI talent, and who controls powerful AI.
• One issue also touches on white-collar job pressure and global debates over sharing AI’s benefits.

For brands planning a campaign

This supports an executive briefing or workshop track on AI risk, governance, and workforce implications. Before booking, ask whether Asante can translate security and enterprise themes into decisions leaders can act on.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

One promotes the AI Executive Lab and weekly insights.

• Another promotes the AI Executive Lab alongside a free workshop on building a first multi-step AI automation.
• Another promotes an AI Executive Lab cohort with a discount code and a free Hire Your First AI Employee workshop.
• A further issue promotes a free workshop on getting a first paying client.
• The AI Insights format also features Prompt of the Week, Chatbot of the Week, and invitations to comment for a beginner-friendly breakdown.

Recurring newsletter issue, free live workshop, and paid cohort, with discount codes and registration links.

For brands planning a campaign

A campaign for a proposed workshop series should test its fit with the existing ladder from free workshop to newsletter to paid cohort. The brand should assess whether a co-branded agentic AI workshop complements or competes with the AI Executive Lab offer.

Examples: Source 1 · Source 2 · Source 3 · Source 4 · Source 5 · Source 6

The newsletter is a recurring product in their content.

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The posts don't state their relationship to the lab; ask whether they own it, work for it, or represent it as a client.

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Criscuolo builds a restaurant reservation system and a home-research app with Remy, a spec-driven product agent, in the same practical register Asante uses for prompt libraries and no-code business building.

Criscuolo shows the method by shipping named products and treating the written spec as the source of truth, aimed at solo operators and specific verticals like restaurants and real estate. Asante teaches frameworks, prompt sets, and news-to-implication briefings across a broader AI enablement and leadership curriculum, with a recurring newsletter and cohort offers.

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Ali's walkthrough of saving a Gemini skill in Chrome for Amazon competitor research is the same kind of copy-and-run prompt instruction Asante gives for agentic workflows.

Ali stays inside e-commerce and marketplace selling, covering Amazon listings, review analysis, and emerging commerce protocols like UCP and agent-driven checkout.

• Asante ranges across AI enablement more widely, adding governance, verification, and executive-briefing material alongside the how-to posts.
• They frame the work around training leaders rather than seller tactics.

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Panjuta's fifteen Claude connectors for lead generation and twenty Claude tool combinations match Asante's numbered format; both argue the value appears when tools are combined rather than run alone.

Panjuta centers on the sales and lead-generation stack, pairing CRM and outreach connectors with a paid community for turning LinkedIn into a lead engine. Asante's lists span building and operating a business, paired with agentic AI methods, weekly news briefings, and responsible-AI threads rather than a single sales workflow.

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The posts offer two live build stories: Mesa, a reservation system for independent restaurants, and Plat, a property-research app built in an hour.

• Both are presented as spec-driven builds, with a written specification acting as the source of truth and an AI product agent coordinating backend, database, authentication, and deployment.
• That suits a session on buy-versus-build decisions, owning your own stack, and reducing platform rent, especially for an audience in hospitality, real estate, or proptech.
• If the client wants a demonstration that ends with a running product rather than a prompt library, this material is more concrete than their instructional posts.

The tradeoff is scope and format.

• The posts are two product-build case studies tied to Remy and MindStudio, aimed at restaurant operators and property research.
• They offer deeper but narrower build demonstrations, not a leadership curriculum, agent oversight model, recurring workshop series, or broad taxonomy of AI tool types.
• Buyers seeking a repeatable executive enablement programme should ask for governance and general AI-literacy material to complement the demonstrations.

Examples: Source 1 · Source 2

The two posts cover Gemini in Chrome skills for Amazon competitor research and the Universal Commerce Protocol, which is described as letting AI agents find a store, check inventory, negotiate, and complete a purchase.

• For an e-commerce or retail leadership cohort, that is sharper domain framing than Asante’s wider business-AI teaching.
• Ali also shows a reusable setup procedure with a pasted prompt and instructions for saving it as a Chrome skill, which fits a hands-on segment where participants build a research process during the session.

The tradeoff is that Ali’s material is concentrated in e-commerce and marketplace contexts.

• It is a weaker choice for a general leadership cohort that needs a foundation in what agents are, how to supervise them, and where to start across departments.
• The posts include an e-commerce-specific prompt skill and a commerce-protocol explainer, but no workshop series, cohort programme, or governance module.
• Asante runs a free-workshop-to-paid-cohort ladder and teaches a manager-plus-intern oversight model, so switching would mean trading their enablement structure for deeper commerce-specific content.

Examples: Source 1 · Source 2

The posts are catalogues: 15 Claude connectors for lead generation, covering Apollo, HubSpot, Clay, Salesforce, ZoomInfo, and others, and 20 Claude tool combinations across communication, project, design, data, business, and automation tools.

• For a leadership audience that already owns those systems and wants to see how an AI assistant becomes a working layer across them, this is more directly usable than Asante’s high-level process steps.
• A session on lead-generation automation or AI-assisted prospecting could be assembled quickly from this material.

The tradeoff is that the posts are mostly integration lists and tool pairings, not a teaching sequence.

• They do not show the define-mission, feed-context, connect-tools, keep-oversight progression Asante uses, a governance discussion, or a workshop programme.
• Buyers who want an executive cohort to leave with a supervised process and a verification habit should ask for that scaffolding.
• The switch buys specific integration detail at the cost of a ready-made training arc.

Examples: Source 1 · Source 2