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.
#DeepAgent #AbacusAI #AIRevolution #AutonomousAI #ProductivityBoost #TechInnovation #FutureOfWork #AIWorkflow #SmartAutomation #AI2025 #MachineLearning #AIIntegration #NextGenAI #DigitalTransformation #AIProductivity #InnovativeTech #AIinBusiness #AutomationTools #AIAdvancements #TechTrends
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.
#DeepAgent #AbacusAI #AIRevolution #AutonomousAI #ProductivityBoost #TechInnovation #FutureOfWork #AIWorkflow #SmartAutomation #AI2025 #MachineLearning #AIIntegration #NextGenAI #DigitalTransformation #AIProductivity #InnovativeTech #AIinBusiness #AutomationTools #AIAdvancements #TechTrends
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TechTranscript
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,
05:44generates sequence diagrams and plant UML, writes compile-ready Rust snippets demonstrating race conditions,
05:51and stitches the lot into a PDF complete with table of contents and working hyperlinks.
05:56All delivered in roughly the time it takes to brew a French press.
06:00A lighter showcase tells the agent,
06:02Launch a book club web app with pastel gradients where users can RSVP, vote on next month's pick, and chat in a simple thread.
06:10Deep Agent scaffolds a Next.js frontend, drops in Supabase for auth and storage,
06:15builds a voting component using optimistic updates,
06:18wires a chat box with live WebSocket push, and pushes a deploy link.
06:23It even slips in a dark mode flag triggered by CSS variables,
06:27the sort of UX polish you'd normally add in Sprint 2.
06:31Email remains the productivity tax we all pay,
06:34so the final recorded run gives the agent control of a Gmail workspace and says,
06:39Review yesterday's inbox, summarize threads needing response,
06:43draft follow-ups, cue them for 0900 tomorrow.
06:46Deep Agent parses message bodies, tallies six outstanding conversations,
06:50whips up polite replies in your tone, schedules the sends,
06:54and returns a bulleted digest of total emails processed, minutes saved,
06:59and a sentiment score for each drafted message.
07:02In short, inbox zero as a service.
07:05A common thread across every clip is transparency.
07:08The show computer view means you can literally watch the browser open Safari Books Online or Eventbrite,
07:15view network calls, see NPM installs scrolling by,
07:18and drop in if a CAPTCHA blocks progress.
07:22When an endpoint rate limits, the agent logs the error, pauses, and waits for a hint,
07:27new token, longer back off, before proceeding.
07:29That ability to supervise keeps Deep Agent from feeling like a black box that silently fails.
07:36There are practical guardrails as well.
07:38Two runs per month on the base plan means you're forced to craft surgical prompts instead of shotgun attempts,
07:44and because one run can chain 20 sub-steps, research, code, slide deck, email,
07:50you can squeeze a shocking amount of work into each allocation if you outline it clearly.
07:55Basically, think like a project manager.
07:57Bundle related deliverables into one well-phrased paragraph,
08:01declare outputs, and let the agent blitz through them while you sip espresso.
08:05On the flip side, sloppy briefs get expensive fast.
08:10Forget to specify the file type, and Deep Agent will pause mid-slite to ask,
08:14chewing up runtime tokens,
08:16skip the date range on that Bali trip, and it might circle back asking,
08:19early or late June.
08:21Each exchange tallies against the quota.
08:24The good news is the learning curve is shallow.
08:26After two or three reps, you naturally start front-loading the critical details.
08:30Essentially, Deep Agent folds whole workflows into one click.
08:33That JIRA demo replaces Friday CSV drudgery.
08:38The Bali itinerary kills the TripAdvisor tab maze.
08:41The benchmark slide deck appears before leadership even asks.
08:46Because it rides ChatLM's multi-model backbone,
08:49it automatically picks the best LLM for each step.
08:52No vendor lock-in.
08:55The upcoming pro tier should raise run limits and add scheduling,
08:59so agents can pull fresh benchmarks every Monday
09:01or auto-draft client decks each Friday.
09:04Abacus is already teasing deeper hooks.
09:06GitHub PRs, Notion updates, even spin up test VMs,
09:10so momentum looks real.
09:11Bottom line for 2025,
09:13success shifts from coding speed to prompt clarity.
09:17Outline the goal, constraints, and output,
09:19and Deep Agent does the rest.
09:21Usually faster than you can make a sandwich.
09:23Want in?
09:25Head to deepagent.abacus.ai,
09:27use the two starter runs on a tough task,
09:29and see what happens.
09:30Worst case, $10 for an interesting failure.
09:33Best case, you win back your weekend
09:35and get a sneak peek at how work will work next.