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Problem

Lending money or an item to someone you know usually happens informally, with no easy way to agree on terms or find people nearby who have what you need.

Solution

Built a marketplace app where people list money or items they're willing to lend and browse requests from others nearby, then connect directly to arrange the exchange.

Problem

Recording a presentation or video from memory means constant re-takes and stiff delivery, and carrying a separate teleprompter rig isn't practical for a solo creator.

Solution

Built a mobile teleprompter that scrolls your script over the live camera view while recording, so presenters read naturally at their own pace, all from a single phone.

Problem

Teams already know exactly which manual workflow is wasting their time, but a typical automation project takes weeks of scoping and back-and-forth before anything actually runs.

Solution

Using Claude to design the logic and n8n to wire it straight into the team's existing tools, a working automation (not a proposal) ships the same day the workflow is described, then gets refined from real usage.

Problem

A genuinely useful personal AI agent needs to run on infrastructure the team controls rather than a black-box hosted assistant, especially once it starts handling real day-to-day agentic tasks.

Solution

Building a personal AI agent on top of the Hermes model, giving it tools and memory to handle day-to-day agentic tasks directly instead of through a third-party hosted assistant.

Problem

Missed inbound calls meant missed appointments and frustrated customers, especially outside business hours when no one was available to pick up.

Solution

Built an AI receptionist and inbound call assistant that answers every call, books appointments, and routes requests automatically, cutting missed calls by 90% and noticeably improving customer satisfaction.

Problem

Sales reps were spending most of their day on manual outbound dialing and follow-up calls instead of talking to leads who were actually ready to buy, so a lot of warm pipeline went cold.

Solution

Designed and deployed AI-driven outbound calling agents that handle lead follow-up and initial sales conversations autonomously, increasing prospect engagement by 40%.

Problem

Generic scripted chatbot flows couldn't answer specific product questions, so support tickets kept piling up and website visitors left without the answer that would have turned them into a lead.

Solution

Combined Botpress's conversation flows with the OpenAI API and a vector database so every answer is grounded in the company's actual documentation, cutting support tickets by 50% and lifting lead capture by 25%.

Problem

Moroccan businesses spend days manually scanning government portals for relevant public tenders, then rebuild boilerplate submission documents from scratch for every bid. Slow and error-prone enough that strong candidates miss deadlines or submit generic proposals.

Solution

Built an automated pipeline that extracts and analyzes public tender listings, then uses Retrieval-Augmented Generation to draft tailored proposals and pre-fill submission documents against each company's own project history, cutting preparation time by 60%.

Problem

Client conversations move faster than a slide deck can. An idea needs to become a working demo the same day to keep momentum.

Solution

Using Claude every day to prototype and build demo applications, plus Botpress and n8n to stand up client chatbots quickly, turning ideas into working software the same day they're discussed.

Problem

Leads were falling through the cracks between the CRM, the calling tool, and the sales team because nothing kept them in sync automatically.

Solution

Integrated GoHighLevel (GHL) and Retell with n8n into a single end-to-end lead management system, improving data accuracy and sales productivity for clients.

Problem

Small businesses wanted a custom AI agent on their site but couldn't justify a multi-week custom development project just to get one live.

Solution

Built a no-code AI chatbot platform where businesses configure and deploy their own custom agent through a guided UI, cutting typical development time by 70%.

Problem

Learners dropped off once a course ended because the platform had no clear next step from "finished a course" to "ready for the job it prepared them for."

Solution

Added an AI component that turns a learner's course history into a professional resume and a personalized learning path toward their next goal, which measurably improved user retention.