AI Site Biz: From SMB Dashboard to Website Companion
How JetCalls moved from a broad SMB automation idea toward a sharper website companion for owner-operated service businesses.
How the JetCalls team built AI Site Biz, ReSmart.ai, Freeform Code, AI Dashboard, and Hermes Hub.
AI Site Biz builds and maintains fast small-business websites from owner briefs, old sites, brochures, photos, and chat-style update requests. The important idea is not generic AI design; it is a practical website helper that drafts changes and waits for owner approval.
How JetCalls moved from a broad SMB automation idea toward a sharper website companion for owner-operated service businesses.
Why the AI Site Biz build moved toward Hugo-style static output and a clearer website product instead of a generic SMB hub.
How screenshots, WhatsApp-style updates, and proof-oriented presentation made the AI Site Biz workflow more believable.
How JetCalls built AI Site Biz as proof of AI productization for service-business websites, from owner pain to chat-first workflows.
How analytics, lead capture, and website-operation thinking turned AI Site Biz from page generation into an operating workflow.
ReSmart.ai helps buyers, sellers, renters, landlords, investors, agents, and AI agents evaluate US housing markets, listings, affordability, timing, and risk from public market data plus guided AI analysis.
How early ReSmart.ai work used chat, search tools, and questionnaire flows to make real estate exploration more structured.
How property links, listing metadata, and social previews made ReSmart.ai analysis easier to inspect and share.
How ReSmart.ai tightened legal boundaries, chat state, and public metadata while keeping AI analysis useful.
How ReSmart.ai turned ZIP and local-market data into programmatic report pages without treating every location as equal.
How JetCalls built ReSmart.ai as a map-first, AI-assisted real estate intelligence product with ZIP data and market reports.
Freeform Code changes the shape of coding work. Instead of a human planning a whole product and instructing an agent step by step, an Analyst agent asks questions, scopes one small feature, and drives the work through Developer, Tester, and Preview agents until there is a live URL to inspect.
How Freeform Code began as a daemon for coding agents, prompts, debugging slots, and explicit handoffs.
How isolated workspaces, tester handoffs, and real working previews turned Freeform Code changes into reviewable product moments.
How JetCalls built Freeform Code as a proof of AI-guided software development, using a pinned spec, specialist agents, testing, and live previews.
How Teams bridge work, file attachments, and stricter developer guidance moved Freeform Code closer to collaborative delivery.
How pinned-spec rendering, topic closing, and language support improved the human-facing side of Freeform Code.
AI Dashboard converts plain-English requests into validated dashboard specifications, then renders persistent charts, KPIs, tables, and summaries from approved finance and real-estate connectors.
How the AI Dashboard work began by turning an investor-style mockup into a clearer product architecture and waitlist surface.
How JetCalls built AI Dashboard as a proof of governed prompt-to-dashboard generation for finance and real-estate analytics workflows.
How AI Dashboard moved from generated views to persistent dashboards with a real-estate connector and better mobile behavior.
How AI Dashboard used market-data connectors, options paths, and chart fixes to test high-signal finance dashboards.
How Firebase auth, per-user dashboards, avatar flows, and settings work moved AI Dashboard toward a real multi-user product.
How AI market-summary tags and flatter option-chain layouts improved the dashboard review experience.
Hermes Hub operates tenant-scoped Hermes Agent runtimes: each business gets its own workspace, memory, schedules, access metadata, A2A boundary, and runtime controls. It is the infrastructure proof behind JetCalls' agent work.
How Hermes Hub began with tenant runtime integration, environment controls, API schema, and hosted agent foundations.
How Hermes Hub added A2A discovery, peer introduction, and cron wakeups to make hosted agents reachable and proactive.
How JetCalls built Hermes Hub as a proof of hosted AI agents, business-agent workflows, A2A interoperability, and tenant-scoped runtime controls.
How Hermes Hub added runtime policy, usage visibility, business metrics, and stable tenant controls to make hosted agents more operable.
How Hermes Hub moved toward an operator surface for inspecting, starting, stopping, and managing tenant runtimes.
How business-friendly commands, standard skills, and browser sidecar support improved the everyday experience of hosted agents.