AI engineering
Smaller models. More interesting trade-offs.
A practical look at choosing a model around latency, cost, and the job it needs to do.
Follow this idea
Relevant tech news. Posts in your voice.
A clearer path to your next opportunity.
The most capable model isn’t always the most useful one.
Start with the task. Measure the trade-offs.
Make room for your own point of
view.
The final word stays
with you in Telegram.
An illustrative workflow. A very real difference.
Less time keeping up. More space for the ideas, conversations, and opportunities that feel like you.
Follow the subjects that connect with your experience. Give the rest a little less of your attention.
Find your focusAI breakthroughs. Framework releases. The ideas that change how you build.
AutoLinkedIn brings public sources into one reading list, shaped around your experience and interests.
AI engineering
A practical look at choosing a model around latency, cost, and the job it needs to do.
Follow this ideaExample topics, not live headlines. Your private reading list uses linked public sources.
A source gives you something to talk about. Your background gives you something to say.
Your CV and writing style give the draft its starting context.
The most capable model isn’t always the most useful one.
A point of view, not just another summary.
Illustrative text. Select an interest above to change the example.
A useful source becomes a first draft, informed by your CV and writing style. You give it the final word.
The most capable model isn’t always the most useful one.
For a focused task, I’d start with the smallest model that clears the evaluation bar. Then measure latency, cost, and the cases where it fails.
The interesting engineering question: what does this workflow actually need?
In the app, this draft waits
for your approval in Telegram.
Interactive example. Nothing is published.
Good automation knows when to stop. Review the draft in Telegram, make it yours, and approve the exact version you want to share.
The story does not end with one post. Explore the tools that connect your reading, writing, applications, and plans.
A useful reading list should tell you why a story belongs there. See the source, the summary, and the connection to your interests before turning it into a draft.
A practical look at choosing a model around latency, cost, and the job it needs to do.
Authored examples, not a live news feed.
Open a draft, adjust the text, or ask for a source-based rewrite. Keep useful ideas close and archive the ones you do not need.
The most capable model isn’t always the most useful one.
For a focused task, I’d start with the smallest model that clears the evaluation bar. Then measure latency, cost, and the cases where it fails.
The next step is your review in Telegram.
A promising role deserves a considered application. Keep the employer description, your notes, and the preparation in one place.
Example company · Remote
You review the packet and submit through the employer’s official form.
Keep editorial ideas and application follow-ups in view. A clear plan helps you return to the right conversation with its context intact.
Keep the idea and its context together.
Revisit the letter and open questions.
Check your notes before reaching out.
A public tour of a private workspace. Your account data appears only after owner sign-in.
The same experience that shapes your posts can help you find relevant roles. Keep the search, the preparation, and the follow-up together.
Discover roles from supported job boards and see why they match your background.
Go beyond the job title. Look for the work that connects with what you know.
Your experience building dependable APIs connects with this role’s focus on backend systems.
Prepare application drafts from your experience, with room to edit every word.
Your experience is the substance. The draft helps you find the words.
I like turning complex systems into dependable products.
My experience with APIs and background processing has taught me to care about the details people rarely see, but always feel.
Track your pipeline, save notes, and keep follow-up dates on the calendar.
A promising conversation deserves more than an open browser tab.
Application drafts are yours to review and submit. The bot does not send them to employers.
For the configured workspace owner, the path from signing in to a useful draft is straightforward.
Open workspacePrivate owner access. No public registration.
Open the workspace, choose Continue with Telegram, and approve the matching code in your bot chat. This signs you in; it does not approve any post.
Review your existing profile, choose news topics, and adjust writing direction in Settings. Your CV supplies the experience behind each draft.
Explore a source, create a draft, and make the words your own. Send it to Telegram when you are ready to review the exact version.
Save a role, prepare its application, or add a follow-up. Come back to your notes when it is time to take the next step.
Automation with a clear handoff.
No. Posts need approval of the current draft in Telegram. Editing a draft requires a fresh approval. Simulation mode lets you check the flow before publishing.
Publisher feeds, Google News discovery, and web research can bring in relevant technology stories. Drafts use checked publisher sources, so you can review the context yourself.
It can score posts from a configured watchlist and queue relevant likes for approval. Automatic likes require an explicit setting and the necessary LinkedIn API permissions. It does not browse your entire personal feed.
This is a private workspace for its configured owner. Sign in through Telegram and approve the matching code. There is no public account registration.
Yes. Open the workspace in your browser or from the Telegram bot. Review drafts, browse stories, and manage saved roles on a compact screen. The same owner sign-in rules apply.
A cover-letter draft, suggestions for emphasizing your resume, interview questions, and gaps to review. They are based on your profile and the role description. You edit the materials and submit through the employer’s official form.
Yes. Add the role manually with its link and pasted description. You can prepare an application, keep notes, and set a follow-up alongside roles found on supported employer boards.
No. A fit assessment helps you prioritize a role. Check the employer’s location, work authorization, and experience requirements yourself before applying.
No. English and Russian change the interface. Existing drafts and application text stay as written, and new writing follows the configured generation language.
Yes. Settings lets you adjust topics, writing direction, daily limits, time zone, and scheduled draft time. Scheduled work and reminders require the bot to be running.