Introducing DeepAgent by Abacus.AI — the groundbreaking autonomous AI agent that's redefining productivity in 2025. Unlike traditional chatbots, DeepAgent doesn't just respond; it plans, executes, and delivers results across a spectrum of tasks.
Key Features:
Autonomous Workflow Execution: From drafting emails to building websites, DeepAgent handles complex tasks with minimal input.
Seamless Integration: Works effortlessly with tools like Jira, Google Workspace, and Slack.
Real-World Applications: Automates tasks such as trip planning, report generation, and even coding projects.
Experience the future of AI-driven automation and see why DeepAgent is making waves across the tech community.
00:00The AI agent scene has felt like a messy street brawl for months.
00:06New contenders jump in every week shouting,
00:09I do everything, and then promptly gas out before the first round is over.
00:13And yet, out of nowhere, yesterday a serious heavyweight stepped through the ropes.
00:17Deep Agent, Abacus AI's brand new generalist that lives inside chat LLM teams,
00:23have been dissecting the launch footage for the past day.
00:25And look, this thing isn't another demo-ware quick fix.
00:28It's more like plugging a full-stack teammate straight into your browser.
00:33Here's the setup.
00:34Chat LLM already acts as a single dashboard over 23 different language models.
00:40GPT-40 Mini for nuanced reasoning.
00:44Claude 3 Sonnet for verbose drafting.
00:47Gemini Pro 2.5 for code hints.
00:49Deep Seek v3.1 when you need ultra-precise autocomplete.
00:54Grok for lightning retrieval.
00:56Llama when you want open weights.
00:58The whole zoo.
00:59On top of that, Abacus ships Code LLM, an IDE extension that feels like cursor after a quadruple espresso.
01:07And App LLM, a one-click generator for web or iOS apps.
01:11Deep Agent lands on that foundation so when you launch an agent run,
01:15it can silently route parts of the job to whichever model excels.
01:19Grok for search.
01:20GPT-4 for planning.
01:21Deep Seek for TypeScript without you babysitting the handoffs.
01:25Pricing is refreshingly sane.
01:28For $10 a month, you get Chat LLM Teams plus two full Deep Agent tasks.
01:33Think of a task as one end-to-end mission, regardless of how many subtasks hide inside.
01:37A higher throughput pro tier is slated to roll out roughly a week from now, but the entry plan already costs less than a movie ticket.
01:44That fee also unlocks a slick perk.
01:46During each run, you can tap Show Computer and watch a sandboxed Chrome instance materialize, complete with a Linux-style terminal pane.
01:54It's basically pair programming with a synthetic co-worker who narrates every click-and-curl command.
02:02Of course, great power plus fuzzy instructions equals chaos.
02:05So, Abacus posted a cheat sheet of prompt hygiene rules.
02:09Step 1.
02:10Describe the task in crisp, conversational language.
02:13No need for pseudocode, just specifics.
02:16Step 2.
02:17Front-load any follow-up answers, dates, format, style choices, so the agent doesn't waste cycles interrogating you.
02:24Step 3.
02:25Name your output.
02:26If you want a PDF, say, export as PDF.
02:29If you prefer a live HTML site, call it out up front.
02:33The tighter that opener, the faster the agent rockets to the finish line, and the fewer minutes you burn of your two-tack allowance.
02:40Alright, now let's walk through the highlight reel Abacus dropped during launch,
02:44because these runs show just how broad the skill set is without leaning on gimmicks.
02:50One clip hands DeepAge in a single-sentence brief.
02:53Create and solve a Sudoku puzzle, then publish it as an interactive web app.
02:57What follows is a blur.
02:58The agent spins up a React scaffold, auto-generates a clean 9x9 board, codes a backtracking solver in TypeScript,
03:05pipes tailwind for styling, bundles with Vite, and hot serves the result.
03:09The finished page lets you click any cell, flags conflicts in red, and even offers a hint toggle that reveals the next logical move.
03:15No copy-pasted GitHub gists, no clunky iframe.
03:19It's full source code written on the fly.
03:22In another run, the agent is pointed at a team's Jira Cloud endpoint and asked for a weekly issue dashboard.
03:29It authenticates via OAuth, yanks JSON for the last seven days, and dumps counts into Plotly charts.
03:35Bugs in red, features in blue, chores in gray.
03:37The agent then stitches those charts into a single-page site, adds a text search box for ticket IDs, and deploys the bundle on an Abacus staging URL.
03:47From here's the Jira link to shareable dashboard clocks under five minutes, and you can actually hover each bar for exact ticket numbers.
03:56Travel planning sometimes feels like the final, un-automated frontier, yet Deep Agent tackles it head-on.
04:03One recording hands it,
04:04Seven-day luxury trip to Bali for two adults in late June.
04:09Boutique hotels, private drivers, scuba on Nusa Penida, sunrise trek on Mount Batter, daily costs, PDF itinerary,
04:17the agent fans across half a dozen booking APIs, scraps current room rates in Seminyak and Ubud, logs fairy timetables, bundles WhatsApp numbers for local guides,
04:27then compiles a spectacular day-by-day document, embedded maps, cost breakdown tables, even weather averages for each locale.
04:36Anyone who's lost a weekend to Expedia tabs knows how absurd that time save is.
04:42Corporate folks still live and die by PowerPoint, so the next demo is telling.
04:46The brief, create a slide presentation comparing GPT-40 Mini, Claude 3 Sonnet, Gemini Pro 2.5, and Deep Seek V3.1 on MMLU, GSM 8K, and Inference Speed.
05:02Deep Agent scrapes the latest academic leaderboard, snaps the score tables, drafts 25 ultra-clean slides,
05:09plants speaker notes with disclaimers about context windows and temperature settings,
05:13and exports both a Google Slides link and a downloadable .F-E-P-T-X-X.
05:20I've seen entire analytics teams spend days handcrafting that kind of deck.
05:25Tech writers, brace yourselves.
05:26Another run asks for a detailed technical report on multi-component protocol, MCP, pitfalls in distributed systems,
05:34complete with citations, diagrams, and Rust code samples.
05:37The agent scours AR-esque for anything post-December 2024, summarizes three new papers,
