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Sunday: CEO tries Tasklet.
Monday: Emergency Onboarding.
30 mins later, each employee had built a first agent.
40 days later, 60+ people actively using agents.
Here’s the story ↓
Your agent used to get halfway through a browser task, hit a login screen, and wait for you.
Not anymore. Securely save a login once in Tasklet, your agent can sign itself back in and keep going.
Three features we added to fix this: 🧵
tasklet.ai/blog/2026-10-16-b…
3. Give your agent a 1Password vault
Instead of saving logins one at a time, give your agent a dedicated vault with the credentials it needs.
You keep managing them in @1Password and anything you add later is available to your agent automatically.
Saved logins are encrypted and only filled on the matching site. Within a shared agent, everyone using it can use them, so only add the business accounts you're comfortable sharing.
Save the login once. Let your agent take it from there.
Read the blog:
tasklet.ai/blog/2026-10-16-b…
Gemini 4 Argon is live in Tasklet.
Google’s new frontier model is built for long, multi-step work across finance, legal, and video.
Your agents shouldn’t belong to one model. Select Argon on any agent—your connections, skills, and context stay put.
Claude Haiku 5.5 is live in Tasklet ⚡️
Your agents can use the best model for each task, across labs. Lower-cost models for routine work. More capable models for the hard stuff.
Tasklet retweeted
For anything requiring integrations to other tools (email, notion, etc) @TaskletAI is A+. It’s unreal how well it just *works*
Tasklet retweeted
Replying to @startupandrew @TaskletAI
We’ve got 100+ people building agents at @pipingtech with @TaskletAI. I’d be using it whether or not I had invested. The product was amazing when I started using it in May and the Tasklet team’s pace of development is phenomenal. No better way for normal people and teams at companies to build AI agents than Tasklet. Not that I’ve seen anyways!
A few things we recently shipped!
Your Tasklet agents can delegate to multiple subagents in parallel while you keep working with it.
Also new: a refined UI, sidebar with more visibility into your work, and public links to share artifacts and files.
Here's a walkthrough 👇
📈📈📈
Today, I’m excited to share we’ve raised an additional $12.8M at a $500M valuation.
Muse, Instinct, Grokbot, Dots, etc are great for consumers, but businesses need more if they want to delegate real responsibilities to AI.
@TaskletAI is built with collaboration, automation, security, and control at its core, and our model-agnostic harness & cloud infrastructure gives you the best value for every AI dollar you spend.
Investors in the round include @usv, @359Capital, @salil, @RakeshAgrawal, $RVI, @patrickc and others.
Tasklet retweeted
Today, I’m excited to share we’ve raised an additional $12.8M at a $500M valuation.
Muse, Instinct, Grokbot, Dots, etc are great for consumers, but businesses need more if they want to delegate real responsibilities to AI.
@TaskletAI is built with collaboration, automation, security, and control at its core, and our model-agnostic harness & cloud infrastructure gives you the best value for every AI dollar you spend.
Investors in the round include @usv, @359Capital, @salil, @RakeshAgrawal, $RVI, @patrickc and others.
GPT-6.1 Sol from OpenAI is live in Tasklet! ☀️
Your knowledge, connections, automations, and team can stay put – choose from all the best models to power your agents.
Better cost efficiency and increased intelligence make 6.1 Sol great for your long-running agents and threads!
One platform, every major model.
Feel free to give Sonnet 5.5 a try in any of your agents without rebuilding anything!
Tasklet retweeted
RIP tableau
we're testing new onboardings @taskletai - i had one prompt: "figure out conversion across onboarding cohorts"
tasklet used our team shared connecters to dig into code, rollouts, ads/analytics and build a custom dashboard
Tasklet retweeted
everyone is claiming cost is for vms, but it really is inference - if you architect it right.
there is a trend to run every agent in it's own vm - but that locks you into an inflexible and expensive architecture
at @taskletai we flipped it: every agent has access to a vm, but we spin them up on demand for each session, backed by a virtual, infinitely scalable file system. keeps cost down and allows us to do things like shared drives and cross-thread file access.
i'll post more details on the file system soon
Hearing this week that personal assistants cost $3k-$7k per user per year, depending on scale effects / vertical integration / model selection. Implications/questions:
- Consumer subsidies will be a huge factor; people don’t care about privacy, they want utility and they want it for free.
- Model costs are deflating, but not fast enough for many startups. The dark horse is that Jev may rapidly deflate computer-use costs 100x.
- An interesting counter-position would be building an expensive and narrowly focused agent — perhaps combining proprietary supply (Carbone tables!) with a unique POV (“no one goes there anymore, go to The Grill instead”).
- Social is wide open but hinges on a key design challenge: how can agents increase social cohesion and not feel invasive in a group chat? A working social agent would rightly attract an avalanche of capital and be hard for incumbents to replicate.
- Finally, there are vertical focus areas like financial services where the LTVs outweigh the subsidy needed and are outside the near-term competitive focus of the incumbents. If it were me, I’d focus here — Credit Karma as an agent >> Credit Karma as an app.
Overall, it’s still very, very early, and we may very well be in the MySpace era of social or iPhone 2010. Hang onto your hats and keep building!!
Tasklet retweeted
one of the hidden features of @taskletai are ad-hoc dashboards. hook it up to any tool and create customized, interactive dashboards with a single prompt.
give it a try with gmail: "connect to my gmail and give me an interactive dashboard for reply stats, include filters by domain, sender and subject".
We're seeing a similar trend at @TaskletAI
Astra has been really popular. Also Gemini 3.8, Grok 4.6, and GLM 5.3 growing share recently.



















