One offer, told consistently
The home décor brand's monsoon sale reads consistently across the ad, the email, and the landing page, rather than as several separate people's interpretations of the same underlying offer.
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In build
The whole team
Nineteen specialists, each with a defined job and an honest status label.
See all nineteenThe business launches a coordinated campaign (ad, email, social posts, landing page copy) that all say the same thing consistently, from one short input.
Works with
What it does
The user fills a single campaign brief (goal, offer, audience, dates), and Lekha generates the full set of assets needed across channels in one coordinated pass, using the same key message and brand voice throughout. The user reviews and edits each asset individually before approving the set.
A home décor brand launching a monsoon sale needs an ad, an email, three social posts, and landing-page copy — five assets that all have to say the same offer, the same dates, the same terms, coordinated across channels rather than assembled separately by whoever happened to be free that week and interpreting the brief slightly differently each time.
This generates the full set of assets a campaign needs from a single brief — goal, offer, audience, dates — using the same key message and brand voice throughout, so the ad and the landing page say the same thing rather than two people's separate interpretations of one underlying offer. The business reviews and approves each asset individually before anything actually goes live.
Lekha runs this directly on the platforms your customers already use — no separate app for them to install.
How it works
Enter the goal, the offer, the audience, and the dates once, giving Lekha a single, shared source of truth that every generated asset in this campaign will be built from consistently, rather than five separate briefs written by five different people.
Before generating individual assets, a planning pass distils the brief into one shared key message and decides the asset list needed, so every channel is coordinated around the same core statement rather than five separate takes on the offer.
A separate generation pass runs per asset type — ad, email, social posts, landing page copy — each one referencing the same shared key message to keep terminology and offer details consistent across the set.
The full set comes back for individual review and approval, asset by asset, since generation produces a coordinated first draft, not a final, ready-to-publish campaign set on its own, and every asset's key facts still deserve a check against the original brief.
Why it matters
The home décor brand's monsoon sale reads consistently across the ad, the email, and the landing page, rather than as several separate people's interpretations of the same underlying offer.
Filling in the goal, offer, audience, and dates once produces the whole coordinated asset set, rather than briefing five separate pieces of copy individually and hoping they align.
Every generated asset comes back for individual review and approval, keeping a human decision in the loop before any piece of the coordinated set actually goes live anywhere.
The detail
The core failure mode this capability has to guard against is consistency drift across the generated set — because each asset is produced by its own generation pass, even when all are conditioned on the same key message, there's a real risk the ad states one detail about the offer (a discount, an end date, an eligibility condition) while the landing page states a slightly different version of it. A customer who reads the ad's promised discount and finds a different number on the landing page has found a real, damaging inconsistency, and this is structurally higher-risk here than in any single-asset tool, precisely because so many pieces are produced from one shared source in parallel.
The practical safeguard is a consistency check across the full set before approving any individual asset, comparing every asset's stated version of the offer's key facts against both the original brief and each other, not just proofreading each in isolation. Reviewing five assets one at a time and approving each because it individually reads well can still miss a mismatch only visible once they're compared side by side.
This is also, by generating the largest number of assets from one action, the capability most exposed to the thin-brief hallucination risk running through generated copy more broadly — a brief missing a specific detail, like the exact discount percentage, gives every generation pass room to independently fill that gap, and because each fills it separately, they can each guess differently, compounding one missing detail into several mutually inconsistent guesses across the finished set.
Industry use cases
10 industries where Lekha applies this directly.
A used-car dealer pastes the make, model, year, and mileage for a new arrival, and Lekha drafts a listing description plus a short social caption, both flagging that any claim about condition or history beyond the given facts needs the dealer's own confirmation before posting.
See the automotive playbookA sales manager sets up a persona for "IT decision-maker at a mid-size manufacturer," and every rep on the team generates cold-email drafts from the same persona so outreach feels coordinated rather than ad hoc.
See the b2b sales playbookA skincare brand uploads its full product line as a spreadsheet with ingredients and benefits per item, and Lekha generates a description and a caption for each product in one bulk run instead of one at a time.
See the beauty and cosmetics playbookA test-prep institute asks Lekha for a blog post targeting the keyword "best online coaching for class 10 boards," and Lekha returns a structured draft with headings and an FAQ section, with any specific outcome claim about pass rates flagged for the institute to verify before publishing.
See the education playbookA furniture retailer uploads a new collection's specs and Lekha drafts descriptions for the e-commerce listing plus a matching Instagram caption set, keeping material and dimension details exactly as supplied.
See the home decor and furnishing playbookAn agency managing five retail clients keeps five separate brand-voice profiles in Lekha, so the same campaign-brief-to-assets workflow produces distinctly different-sounding output for each client from the same underlying template.
See the marketing agencies playbookA broker pastes a property's square footage, bedroom count, and location, and Lekha drafts a listing description and a short email to interested buyers, both built strictly from the supplied facts.
See the real estate playbookA restaurant launching a new seasonal menu pastes the dish names and ingredients, and Lekha generates a description for each dish plus a launch-announcement caption, ready to review before the menu print deadline.
See the restaurants and food playbookA day spa asks Lekha to write copy for a new facial package, and Lekha drafts the description but flags a line implying a specific skin-improvement result as needing the owner's confirmation before it's used in an ad.
See the spas and salons playbookA tour operator asks for a Kerala backwaters package description in both English and Hindi, and Lekha produces two natural-reading versions rather than a literal translation of one into the other.
See the travel and tourism playbookMore from Lekha
The business gets copy that consistently sounds like them, in every language, without re-explaining tone in every prompt.
Learn moreThe business drafts a usable first version of an ad, caption, email, or product description in seconds instead of starting from a blank page.
Learn moreThe business can dial a single draft from formal to playful (or vice versa) without rewriting it from scratch.
Learn moreThe business reaches Hindi-speaking and code-mixed audiences with copy that reads naturally, not like a literal translation.
Learn moreThe business turns one piece of English copy into ready-to-use versions in other languages without hiring a translator for routine content.
Learn moreThe business gets a blog post or landing page draft built around a target keyword, ready to publish with minimal editing.
Learn moreQuestions
This is exactly the core risk this capability has to guard against — each asset is generated by its own pass, and even when all are conditioned on the same brief, a specific detail like a discount percentage or an end date can come out slightly differently across assets. A consistency check comparing every asset's stated facts against the original brief and against each other, not just proofreading each one alone, is the necessary safeguard before approving the set.
It can affect all of them, and in a worse way than a single-asset tool would — a brief missing a specific detail, like an exact discount percentage, gives every one of the several generation passes room to independently fill that same gap, and because each fills it separately, they can each guess differently. A complete brief upfront, particularly on the offer's exact numbers and dates, meaningfully reduces this risk across the whole generated set.
A full review of each asset matters, but more importantly, the review needs to include a direct cross-check of every asset's stated key facts against each other, not just individually reading and approving each one on its own merits. Approving five assets that each individually read well can still miss a mismatch between two of them that only shows up when compared side by side.
No — this generates a coordinated first-draft set for review; publishing or scheduling any individual asset happens through whatever channel-specific tool the business already uses for that format, entirely separately from generation and approval here at the brief stage. Approval marks an asset as ready, not live, keeping the actual publish step as a distinct, deliberate action someone takes on purpose, later, in the right tool.
The rest of your stack
No rip-and-replace — generate a campaign from one brief works alongside the systems already running your business.
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