AI Post

The story (short) Across 2023–24 we saw a clear shift: AI moved from chat-only assistants to autonomous, connected agents that can act across apps — think a virtual assistant that reads your CRM, pulls numbers from your ERP, and drafts a monthly sales report without back-and-forth. Major platform moves (custom GPTs, copilot-style connectors, and AI-powered […]

Quick update: custom AI agents just crossed a usability threshold. Platforms from major AI providers and open frameworks now make it easy to build lightweight agents that connect to your CRM, spreadsheets, reporting tools, and calendar — and act autonomously on routine business work (drafting outreach, pulling monthly reports, triaging tickets, scheduling follow-ups). Why this

Quick summary AI agents — software that can act autonomously across apps (think: read emails, update CRM records, generate reports, and schedule follow-ups) — are moving from experiments into real business use. Companies are using agents to automate repetitive sales tasks, keep reporting current, and act as “always-on” assistants that help teams move faster. Why

Quick summary Over the last year we’ve moved past “wow” demos: AI agents — autonomous systems that combine LLMs, tool use, and data access — are being put into real business workflows. Companies are using agents to triage customer issues, auto-generate and distribute sales reports, run outreach sequences, and coordinate cross-team tasks. The result: faster

Quick story: Autonomous AI agents — not just chatbots — are moving into the mainstream. Advances in large models, memory, tool/plugin integrations, and low-code agent frameworks mean businesses can now build AI “agents” that act on behalf of teams: research leads, qualify prospects, update CRMs, run performance reports, and even coordinate calendar scheduling. Early adopters

Short summary AI “agents” — small, task-focused AI systems that can act on your behalf — have moved from lab demos to real business tools. Vendors and startups are packaging agents that connect to CRMs, calendars, email, and databases to do things like follow up with leads, generate quotes, and produce up-to-date sales reports automatically.

Quick summary AI agents — software that can act autonomously to complete tasks, talk to other systems, and generate answers — are no longer just a developer experiment. Over the past year we’ve seen these agents get better at connecting to company data, coordinating multi-step workflows, and creating business-ready outputs like sales follow-ups, invoices, and

Quick summary AI “agents” — autonomous tools that can read your systems, take actions, and talk to people — are moving from labs into real business use. Modern agents can draft outreach, book meetings, answer customer questions, update CRMs, and produce structured reports without constant human direction. They connect to email, calendars, ticketing systems, and

Quick summary AI agents — autonomous, task-focused AI helpers that can search documents, draft emails, update CRMs, and run reports — are no longer a research experiment. Over the past year, more companies have put agents into everyday workflows: automating sales outreach, triaging customer requests, generating regular operational reports, and coordinating cross-team tasks. These agents

Short summary AI “agents” — autonomous systems that can plan, fetch data, take actions, and talk to other tools — are moving out of labs and into real business use. Companies are already using agents to qualify leads, run outreach sequences, populate CRMs, and generate regular sales and finance reports automatically. That combination of automation