AI inside EasylimNEW

A workspace that remembers for you

Ask — you won't have to clarify what you meant for the tenth time.

5+

hours saved per week

3 min

from idea to full project

−68%

time on project setup

Capabilities

An assistant that knows how your team works

Every feature is built around real team workflows — no extra steps, no setup.

Subtask generation

Live

Describe a task in one sentence — AI breaks it into a step-by-step checklist.

AI · Subtaskslive
TASK#4291Split with AI

Prepare a landing page for the new product

5 steps · 16 h
  • Collect references and competitorsIO2h
  • Build wireframe in FigmaAK4h
  • Write hero and CTA copyNS3h
  • Prepare illustrationsAK5h
  • Set up analytics and A/BMV2h

Prepare a landing page for the new product

From Business tier

Project generation

Live

Builds an entire project from a description: statuses, task types, custom fields, views.

AI · Project generationlive
Prompt→ Project

Launch a marketing campaign for Q3

Backlog3

Audience research

MVP feature list

Agency brief

In progress2

Landing — wireframes

Email campaign

Review1

Pricing calculator

Done2

Tone of voice

Product name

Launch a marketing campaign for Q3

From Business tier

Text editing

Live

Rewrite, shorten, translate or change the tone of any document in one click.

AI · Edit textlive
ShortenMake friendlyTranslate UAFix grammar
before

Dear colleagues, with this letter I would like to inform you that…

…we, due to certain circumstances, have decided to postpone…

…the launch of our new product to next week.

after

Hi team —

We're moving the product launch to next week. Details — in the task.

72% shorter · same meaning

Make the tone more professional

From Business tier

Whiteboard diagrams

Live

Generate flow charts, mind maps and architecture diagrams from a prompt on whiteboards.

AI · Whiteboard diagramlive
User
Web / Mobile
API gateway
Auth
Payments
Email

Microservice architecture for checkout

From Business tier

Try it

Ask in plain language

Nothing to learn. Just type like you'd message a teammate.

What did I miss this week?Summarise this project in three sentencesCreate tasks from these meeting notesWhich tasks are blocked on me?Plan a 2-week sprintFind the discussion about the new APIBreak this epic into subtasksMind-map our onboarding flowWhat blockers does the team have right now?What did I miss this week?Summarise this project in three sentencesCreate tasks from these meeting notesWhich tasks are blocked on me?Plan a 2-week sprintFind the discussion about the new APIBreak this epic into subtasksMind-map our onboarding flowWhat blockers does the team have right now?
Roadmap

Coming soon to production

What we are shipping next — so AI closes even more of your day.

Workspace search

Soon

Ask in plain language — AI finds answers across tasks, docs and comments with citations.

AI · Workspace search

What did we decide about the Stripe integration?

AI

Answer · 0.4 s

Stripe Checkout v2 approved on May 14. Implementation owned by IO.

PRD: Stripe v2 — checkout flow

[1]

Task #4129 — Replace billing-engine

[2]

Meeting notes

Soon

Transcribes calls, summarises discussions and auto-creates tasks with assignees.

AI · Meeting notes
Sprint planning
IOAKNS
32:14rec
AK

…ok, I'll move it to tasks and assign IO. Deadline by Friday

Action items
2 new
Build a release checklistIOby Fri
Align design with legalAKby Wed

Risk detection

Soon

Predicts which tasks will slip and surfaces blockers before they become problems.

AI · Risk detection
MonWedFriMonWedFri
IOAuth refactor
AKStripe migration
NSEmail templates
MVA/B test runner
LKBrand refresh
okwarncrit
2 tasks at risk — there's a window to rebalance

Smart task routing

Soon

Balances team load — assigns tasks to people with capacity and the right skills.

AI · Smart routing
Team load · sprint 24
beforeafter
IO
Senior9 tasks
74%
AK
Mid7 tasks
60%
NS
Junior6 tasks
55%
MV
Mid8 tasks
70%
Peak load −18%30 tasks · 4 people

Auto stand-ups

Soon

Pulls yesterday/today/blockers from your Easylim activity — no daily meetings or forms.

AI · Auto stand-up
IOIvan O.auto
Yesterday

Closed 4 tasks in Stripe v2

Code-review · Notion-import

Today

Bring up E2E on staging

Mid-day call with product

Blockers

Waiting on API key from ops

Security

Your data stays yours

Easylim AI does not train third-party models on your content and does not store history outside your workspace.

No training

Your prompts and data never feed third-party model training.

Encrypted

TLS in transit, AES-256 at rest. SOC 2 and GDPR-ready.

Full control

Disable AI per workspace. Admins see who uses it and when.

Data residency

EU residency on Premium and Enterprise. No exceptions.

Deep dive

AI inside a project tool — what it actually saves, and where it still gets in the way

5 chapters

AI features in project tools mostly fall into two buckets: party tricks (generate a meeting summary nobody reads) and real savings (turn a 15-minute brief into a 30-second task tree). This page is about the second bucket — what Easylim AI does inside the workspace, how to write prompts that don't waste your time, and the workflows where you should still do it by hand.

01

Розділ

How an AI prompt becomes a structured task tree in 30 seconds

The interesting feature in Easylim AI isn't "chat with my data" — it's structured generation. You type one sentence: "Plan Q3 product launch — landing, email sequence, social, analytics." AI returns 5–8 tasks, each with a suggested owner, estimate and dependency, dropped straight into the project as a tree.

This works because the model is constrained: it can only output Easylim task structure (title, owner, estimate, type, parent). It can't write you a poem instead. The output is not a chat reply you copy-paste — it's actual tasks you can edit, drag or delete.

Where it saves time: any work that starts from a high-level intent and needs a checklist. Launch plans, onboarding flows, post-mortems, runbooks, content calendars. Where it fails: highly domain-specific work the model has no context on (e.g. "plan our internal compliance audit"). For that, give it a doc to read first or write the tasks yourself.

  • AI outputs task structure, not chat — the result is real tasks, not text.
  • Best for repeatable patterns: launches, onboarding, sprint planning.
  • Add context (doc, link, prior project) when domain is non-generic.
ai · brief → task tree
Prompt

Plan Q3 product launch — landing, email sequence, social, analytics

Generated
  • 1

    Landing page · hero + pricing

    design · 3 days

  • 2

    Email sequence · 4 touches

    copy · 2 days

  • 3

    Social rollout · LinkedIn + X

    marketing · 1 day

  • 4

    GA4 + Mixpanel events

    data · 1 day

  • 5

    Internal launch doc

    comms · 0.5 day

5 tasks · 7.5 days · 0 manual entry

02

Розділ

Auto-assignment — why "who's on this?" stops being a meeting

When AI generates tasks, it also suggests owners based on your team's recent work. If the prompt mentions a backend repo and IO has been pushing 80% of backend PRs in the last 30 days, AI assigns IO. If the task is "design a modal" and only one person on the team has the "design" role, that person gets it.

This is small but the time saved compounds. A 5-task generated plan saves roughly 10 minutes of "who can take this?" Slack pings. Multiply by 3–4 plans per week per team lead = 2 hours back per week, all of which were spent on coordination, not on actual work.

The assignment is a suggestion, not a commitment. The lead sees the proposal, can reassign with one drag, and the model learns from corrections — over a month it gets noticeably better at matching your team. There is no "AI manager" deciding workload for you; you stay in charge.

  • Owners are inferred from real activity in the workspace, not random.
  • 5-task plan saves ~10 minutes of "who takes this?" coordination.
  • Suggestions, not commitments — the lead approves or reassigns.
1 prompt → 5 tasks with assignees

Prompt

Onboard new senior backend engineer

Generated tasks · auto-assigned

  • #1Send welcome packet & accessHR30m
  • #2Repo walkthrough + dev envAL2h
  • #3Set up GitHub + LinearIT45m
  • #4First ticket: bug-fix tourMK1d
  • #5Week-1 retro with leadJL30m

5 tasks · 5 owners · ready to start

03

Розділ

Summarization — turning a 3,000-word retro into 5 actionable bullets

Long documents inside Easylim — retros, PRDs, meeting notes, customer interviews — get a 5-bullet summary on demand. Open the doc, click "Summarize", and AI extracts the 5 most actionable points (not the most thematic, the most actionable).

This is the single most-used AI action in Easylim accounts after 30 days. The reason: humans don't re-read long docs, they re-skim summaries. Having an always-fresh summary at the top of every retro means the next sprint planning starts with consensus, not with three people arguing about what was actually decided.

It's not magic. The model misses about 15% of nuance — if you wrote a 3,000-word doc, expect the summary to flatten irony, lose minority opinions, and over-weight numbered lists. Use it as a starting point, not as the source of truth. The doc is still authoritative; the summary is the reading aid.

  • Summary is action-oriented — what to do, not what was discussed.
  • Every retro / PRD gets a 5-bullet header — start meetings from consensus.
  • ~15% nuance loss is expected — the doc, not the summary, is authoritative.
long doc → 5-bullet summary
Source · 3,400 words

Q2 retrospective — engineering

…the migration to the new billing engine took 11 weeks instead of the 6 we planned. Root cause analysis points to three factors…

AI summary · 5 bullets
  • 1Billing migration: 11w actual vs 6w planned
  • 2Top cause: undocumented edge cases in legacy
  • 3Team velocity dropped 22% during migration
  • 4Recommendation: cap migrations at 8w + buffer
  • 5Next quarter: split DB and API migrations

3,400 → 280 words · 12s read

04

Розділ

Semantic search vs keyword search — when AI actually helps

Keyword search finds documents containing your exact words. Type "billing migration" and you get every file with "billing" or "migration" in the title — useful when you remember the file name, useless when you remember the question.

Semantic search reads the documents, understands the question, and returns an answer with citations. Type "what did we decide about the billing migration timeline?" and AI returns: "11 weeks actual, capped at 8 weeks + buffer going forward, decided in the May 14 retro" — with links to the retro doc and the #billing thread where consensus was reached.

Rule of thumb: use keyword search when you know what you're looking for (a specific file, ticket number, person). Use semantic search when you have a question and don't know which doc has the answer. Both live behind the same search bar in Easylim, so the choice is one Tab away.

  • Keyword = find the file. Semantic = get the answer.
  • Semantic results include citations — verify before quoting.
  • Both behind one search bar — switch with Tab, no separate UI.
keyword vs semantic search
QueryWhat did we decide about the billing migration timeline?

Keyword match

  • TASK #4129 — billing-engine migration
  • DOC: billing-v2 timeline.md (stub)
  • #billing 27 messages · no answer

matches "billing" — no answer

AI semantic

11 weeks actual (May 14 retro). Capped at 8w + buffer going forward.

→ Q2 retro · engineering

→ #billing · May 16 (consensus)

semantic finds the answer · keyword finds the file

05

Розділ

When NOT to use AI — and when manual work is faster

AI is wrong about ~10% of suggestions. For brief→tasks, owners→assignees, doc→summary, that's an acceptable trade for 15× speedup. For high-stakes work, 10% wrong is catastrophic.

Don't use AI for: legal copy (one wrong word = lawsuit), customer-facing apology messages (tone matters more than speed), postmortems with blame attribution (politics matters more than structure), and anything you'd be embarrassed to send under your name if you didn't read it. The 30 seconds you save isn't worth the 3 hours of damage control.

Also don't use it for work where the act of writing IS the thinking. Roadmap planning, OKR setting, strategic memos — if the slow process of drafting forces you to clarify what you mean, AI shortcuts the wrong thing. See pricing for which AI features come with each plan, and all features for the non-AI surface you can build on instead.

  • AI is ~90% right — fine for tasks, not for legal or apologies.
  • Strategic / generative writing where drafting IS thinking → do it by hand.
  • If you wouldn't send it without rereading, you shouldn't send it from AI.
ai-assisted vs manual · same brief

Manual workflow

  • 1Read brief · 5 min
  • 2List tasks · 4 min
  • 3Assign owners · 3 min
  • 4Add estimates · 3 min

15 min

manual · accurate

AI-assisted

  • 1Paste brief · 10s
  • 2AI generates · 20s
  • 3Approve owners · 30s
  • 4AI estimates · auto

1 min

ai · 90% as accurate, 15× faster

the 10% gap matters when it matters

Quick takeaways

  • 1Easylim AI outputs structured tasks, not chat — it integrates into your workflow.
  • 2Best ROI: brief→tasks, doc→summary, semantic search. ~10× speed at ~90% accuracy.
  • 3Skip AI for legal, apologies, blame attribution, and strategic writing.
  • 4AI is bundled into the Business plan — no per-prompt billing, no add-on SKU.
Ready?

Start automating the busywork today

AI on the Business plan. No setup — it works on your projects from day one.

AI in Easylim — an assistant that knows your context | Easylim