No card grid, no icons. Each service is a real commitment with a posted price range; I share rates on the discovery call. Where a competitor slogans, I ship.
For operators drowning in six-plus hours a day of repetitive tickets. I scope the eighty percent (pricing, order tracking, returns, how-tos) into a working support agent; the remaining twenty percent (emotional tickets, damage claims) hard-routes to you with an auditable escalation log. The counter to the IH objection that AI tanks hard on emotional tickets is not to argue, it is to never let the AI own them in the first place.
For the operator in HN 46090672 who has to go to the listing page, screenshot the page, download the files, and upload all of it to ChatGPT. I replace that loop with a pipeline that ingests, extracts, and returns analysis on a schedule, so the work happens without your hands on it.
Agents that triage inbound requests and queue the next action, sized to your stack. Least-privilege tool access by default, because the April 2026 Claude Mythos sandbox escape and the Chinese-state-actor agentic campaign against thirty organizations both argued the same thing: an unscoped agent is a liability, a scoped one is leverage.
Booking funnels built on the pattern I shipped at The CMP Hong Kong, where we lifted conversion fifty percent. Integrated with your calendar, payments, and CRM, not a no-code kludge. Cal.com or GCal on the back, your domain on the front.
Lifecycle, outbound, and content loops driven by your own product data, not by a generic SaaS playbook. I wire the events, the prompts, and the sends, and I leave you with a dashboard you can actually read.
For the operator in HN 46247423 who is spending hours in spreadsheets building repetitive dashboards. I replace the repeating parts with a scheduled report that lands in your inbox, so humans get back the strategic decisions.
Shipped in response to the Apr 19-20, 2026 Vercel breach. A compromised Context.ai employee with an “Allow All” OAuth scope pivoted into Vercel's Google Workspace and environment variables; ShinyHunters listed the data for $2M. I review every AI tool in your stack, its OAuth scopes, and its env var hygiene, and I hand you a remediation list. Fixed fee.
Buyers today are paralyzed between Zapier, Make, n8n, Lindy, and Relevance AI, on top of model choice (Opus 4.7, Sonnet, open-weight Llama). I audit your workflows, pick the platforms and models that actually fit, and document the choice. Fixed fee, pairs well with the security review.
Private inference on hardware you own or rent, for clinics, legal ops, and SaaS teams whose data genuinely cannot leave their environment. Competitors slogan this and move on; I dramatize it by actually shipping the stack, from model selection through deployment, monitoring, and an honest conversation about what you lose versus the frontier models.
The ChatGPT Apps SDK went public Dec 18, 2025 and all custom GPTs migrated to GPT-5.2 on Jan 12, 2026. The ChatGPT App Directory is now a real distribution channel. I scope your app, build it against the SDK, wire the auth, and own the directory listing. Priced as a fixed fee, not an hourly retainer.
When your workflow does not fit any of the above, I build the app. Fifteen years of shipped cross-platform work (web, mobile, VR, IoT, blockchain) means the right surface is usually not the obvious one; sometimes the answer is a lightweight iPhone app, sometimes a Chrome extension, sometimes a Unity sim.
For in-house teams who want to own their AI stack, not rent it from me forever. I run working sessions, write the runbooks, and leave behind a team that can extend what I built without me. No course upsell, no community membership, just the specific training your team asked for.
Start with a $75 consult. I will tell you which of the twelve SKUs fits, and if none of them do, I will say so.