GYANTV × HAWKY.AIPERFORMANCE CONTENT ENGINE · 2026
INTRO — For the GyanTV growth team

Performance content isn’t created.
It’s engineered. Analysis → script → video → launch — one automated loop.

Three systems working as one: creative analysis that decodes why ads win, a script & video engine that carries the winning pattern into production, and bulk launch that ships winners the same day the pattern is found. The output is the only number that matters — hit rate — while a Performance Agent holds cost per subscription start. 100+ entities decoded per creative, natively in Telugu, Tamil, Kannada and Hindi.

Hawky.ai · Creative & audience intelligence
Reference accounts · Brands.live · Pocket FM
02 / 22
CONTEXT — GyanTV, in one frame

Edutainment OTT for South-first Bharat — the topic is the ad. Creative volume is the growth lever; hit rate is the margin between scaling and burning.

The product
  • 1,500+ short video lessons, 2–10 min.
  • Telugu, Tamil, Kannada, Hindi — natively.
  • ₹149/mo subscription.
The audience
  • South-India-first, language-proud Bharat.
  • Aspiration: income, side business, sarkari entitlements, English confidence.
  • The hook must land in 3 seconds, in the viewer’s own language.
The ad job & KPI
  • One idea feels achievable → a subscription start.
  • Hero KPI: cost per subscription start, guarded by trial→paid quality.
  • The engine optimizes subscribers, not clicks.
03 / 22
THE GOAL — One number decides this: hit rate   Illustrative preview · targets from GyanTV’s own baselines

If 2 of every 10 commissioned creatives work today, the engine’s job is 3+. +10 points of hit rate = 50% more winners from the same production budget. It climbs for three compounding reasons.

SELECTION
Better selection before spend
Confidence-gated: the analysis predicts which scripts deserve money before a rupee moves.
READS
Cleaner reads after spend
Staged testing reads each creative cheaply first — so a miss becomes a diagnosis, not a write-off.
MEMORY
Never resets — every result writes back to FeatherDB: benchmarks calibrate, the pattern library compounds, the graveyard prunes dead ends.
Fig · how hit rate compounds — projected, re-baselined weekly against actuals
TODAY · 2 of 10TARGET · 3+ of 1020%WK 121%WK 222.5%WK 324%WK 425.5%WK 527%WK 628.5%WK 730.5%WK 8
04 / 22
THE LOOP — One loop, six stages — the whole lifecycle, engineered

Analysis finds the pattern; scripts carry the hypothesis; videos pass pre-flight before a rupee moves. Launch happens in clean rooms, staged tests decide, winners scale — and everything learned re-enters analysis.

01 · ANALYSIS
Decode the pattern
100+ entities; white space ranked.
02 · SCRIPT
Carry the hypothesis
Hook verbatim; 8-field DNA + kill rule attached.
03 · VIDEOS
Produce + pre-flight
Editors + AI variants; policy-clean, 4 languages.
04 · LAUNCH
API bulk publish
Meta + Google; clean-room test cells.
05 · TEST
Staged reads
₹300 signal → ₹2–4K; kill rules decide.
06 · SCALE
Promote winners
×2 budget / 3 days; fatigue-watched.
↻ learnings write back via FeatherDB — the next cycle starts smarter · nothing depends on someone remembering to do it
05 / 22
RAW MATERIAL — The loop starts from what you already know sells

Seven monetization cores, read straight off GyanTV’s own catalog. Every script is tagged on 8 DNA fields, so wins are repeatable — not remembered.

01
Business Tips
Start with ₹41K · PMMY loan to business · low-investment ideas · online selling.
quit-the-job arc
02
Part-time Earning
Stock-market side income · SIP as monthly income · phone-only earning.
prathi nela income
03
Government Schemes
0% loans · 10-min certificates · driving licence · ration card.
entitlement you’re missing
04
Finance Tips
Options with ₹5000 · SIP ₹1000 → ₹1 crore · emergency fund.
‘banks won’t tell you’
05
Social Monetization
YouTube monetize in 30 days · Insta followers · Shorts with AI.
30-day arc
06
English · Mobile · Tech
English speaking · mobile tricks · tech core.
confidence + tricks
DNA
8 tag fields
category · subcategory · topic · pitch · hook type · structure · format · language.
wins become repeatable
06 / 22
DEEP SYSTEM 01 — Creative analysis — decode every creative into parts

Ads Manager tells you creative #47 hit target cost. It never tells you the 0–3s hook, the Telugu-first voiceover, or the loan-entitlement pitch did the work. Analysis answers why.

INGEST
Every creative
Yours + competitors’ · Meta · Google.
DECOMPOSE
100+ entities
Hook · pitch · format · CTA · language.
SCORE
Tie to outcome
Spend · CPI · sub-start · LTV.
PATTERN
Conditional wins
Per category × language × objective.
BRIEF
Next batch
White spaces + fatigue warnings.
outcomes re-train the patterns weekly
A · MESSAGE
~20 entities
hook, claim, offer, urgency, value prop, ₹ figure.
B · EMOTION
~20 entities
appeal, tone, story flow, tension beat, payoff, pacing.
C · CRAFT
~25 entities
media, aspect, duration, first-3s, cuts, captions, music, VO.
D · CAST
~15 entities
archetype, gender, age cue, setting, app shown.
100+
across six families
each entity queryable, each tied to spend & outcome.
07 / 22
DEEP SYSTEM 01 — Winning patterns are conditional — the pattern lives in a cell, not the library

A win is never global. Every creative drills down to one cell — objective × funnel × language × category — and the winning pattern belongs to that cell alone.

OBJECTIVE
Installs
Sub-start
Re-engage
FUNNEL
Cold
Warm
Retarget
LANGUAGE
Telugu
Tamil
Kannada
Hindi
CATEGORY
Govt schemes
Business
Part-time
THE PATTERN · THIS CELL ONLY
HOOK · BEAT · FORMAT · CTA
The winning pattern for this exact cell — and only this cell.
The hook that wins Govt Schemes in Telugu, cold traffic is rarely the one that wins Finance in Kannada — spend never averages them together. The engine holds a pattern for every cell, and flags the cells still unsolved.
WHAT GETS DECODED
Beat-level, not thumbnail-level
Opening line, core claim, character archetype, setting, text overlays, voiceover language & register, CTA timing — extracted per creative into the shared taxonomy, so your matrix and the competitors’ are comparable.
CONDITIONAL PATTERNS
Wins are contextual, never global
A crisis hook may win Government Schemes in Telugu and lose Finance in Kannada. Patterns are always sliced by category × language × objective.
FIG · D
Lifts are attributed to entity combinations — so a tag that only rides along on a winner never gets the credit.
08 / 22
IN THE PRODUCT — The correlation matrix — entity × entity, scored on the KPI   Product view · illustrative until your data is connected

This is the decode, live in the product. Hook Type × Narrative Structure, every pair scored on CTR vs the library benchmark — green beats it, red costs you.

HAWKY · CORRELATION MATRIX · AXIS × AXIS CROSSTAB
Each cell shows two things: the pair’s KPI vs the library benchmark (×N, green = better) and how often the two values co-occur vs chance. Read straight off: Story Opening × Problem-Agitate-Solution = ×3.11; Intriguing Visual × Educational Explainer = ×2.25. This is exactly the entity cross-map the loop runs — per category, language and region.
09 / 22
IN THE PRODUCT — Competitor radar — every rival ad, decoded

See how Seekho, Guru, Master Edu and others hunt the same viewer. Their live creatives pulled and decoded — hooks, formats, languages — so the engine mines the white space they leave.

HAWKY · COMPETITOR ANALYSIS · ADS
GyanTV’s actual rival set on one board — filter by platform, language, CTA and format. The AI-avatar wardrobe hook, the kirana-shopkeeper problem-agitate, the Kannada divorce micro-drama — each tagged, dated and queryable, so ‘what’s proven elsewhere that we haven’t tried’ becomes a ranked list.
10 / 22
SCRIPT ENGINE — Every script is a hypothesis

Analysis hands the script engine a ranked pattern; the script carries it. Hook verbatim, 8-field DNA and a kill rule attached — so a test proves or disproves one idea, not a vibe.

PATTERN IN
Ranked white space
From analysis: what wins, and where it’s untried.
ANGLE
Proven pitch
Pulled from the monetization core that sells.
HOOK
Verbatim, in-language
The exact 0–3s line, written to stop the scroll.
DNA + KILL RULE
Tagged & gated
8 fields attached; the metric that would kill it, pre-declared.
HANDOFF
To production
A ready brief — a designed experiment.
SOURCE 01 · ~60%
Winner expansion
A proven winner re-hypothesized one DNA axis at a time — new hook on a proven body, or a Telugu winner rebuilt in Tamil. A dying winner is refreshed, not cloned.
SOURCE 02 · ~25%
White-space
A pattern proven elsewhere that GyanTV hasn’t tried — competitor conviction crossed with catalog demand, rebuilt in GyanTV’s voice. Adapted, never copied.
SOURCE 03 · ~15%
Every script = a designed experiment — so more of every 10 win. Trend format: a 24–72h window, autopsied for what drives it, recombined as proven topic × new format.
11 / 22
PRODUCTION — From script to policy-clean video — before a rupee moves

Editors and AI variants render the hypothesis, in four languages. A pre-flight gate checks every frame and every spoken line against Meta & Google policy — in all four languages — before anything goes live.

RENDER
Editors + AI variants
The script becomes video — multiple cuts per hypothesis.
LOCALIZE
4 languages, natively
Telugu, Tamil, Kannada, Hindi — native, not translated.
PRE-FLIGHT GATE
Every frame + line
Checked vs platform policy in TE / TA / KA / HI.
fix → recut
APPROVED
Into the launch table
DNA + hypothesis still attached.
auto-render stays off for the first fortnight — your team approves every batch
12 / 22
DEEP SYSTEM 02 — Creative measurement — every rupee gets a clean read   Illustrative preview · targets from GyanTV’s own baselines

A miss becomes a diagnosis. Every metric ties back to a creative element — and budget earns its way up through staged tests.

Metric
Owned by which creative element
What it proves
M1CPM & hook rate
The hook — first 3 seconds
Impression owned by the opener
M2CPI
Topic × pitch × language match
Right idea, in the right tongue
M3Cost / sub-start
Promise kept early
The pitch honoured within 3 seconds
M4CAC · LTV
Pitch honesty
Trial → paid by DNA, written back monthly
M5Fatigue lead time
Pattern decay
Flagged days before CPM rises
EVERY AD
Hypothesis card
Prediction + kill rule attached.
STAGE 1 · SIGNAL
₹300 · 48–72h
Hook rate only — cheap to read.
pass
STAGE 2 · COST
₹2–4K · 5–7d
Cost / sub-start at real volume.
pass
STAGE 3 · SCALE
Winner pool
×2 budget / 3d while stable.
kills write to the graveyard with a reason + retry condition — tomorrow’s batch is smarter
13 / 22
DEEP SYSTEM 03 — Bulk launch — same-day from pattern to live ad

Volume is an account-architecture problem, not a button. Validated creatives flow through a moderation gate, publish via API, land in clean-room test cells — and only winners graduate into scale. The same shape runs at 50 a week or 10,000 a day.

APPROVED
From production
DNA + hypothesis attached.
MODERATION GATE
Every frame + line
TE / TA / KA / HI vs platform policy.
fix
API PUBLISH
Meta + Google
Rate-limit aware, queued — live the same day.
CLEAN ROOMS
Test campaigns
ABO cells per category × language; reads stay clean.
SCALE / RETIRE
Promote or retire
Winners promoted same-day; spent ads retired with a reason.
why clean rooms: tests never touch scale money — Meta’s learning phase stays intact and every read is attributable
14 / 22
IN THE PRODUCT — Bulk launch — from table to live on Meta   Product view · example account data

Validated creatives become live ads in one action. An action table of every ad — campaign, ad set, creative, primary text — synced and pushed via API. Launch all, or stage into clean rooms.

HAWKY · ACTION TABLE · BULK LAUNCH
A 38-row ABO test launch — each row a DNA-tagged creative from the production table, mapped to its campaign, ad set, creative file and primary text. Launch All (38) publishes to Meta the same day; every row stays attributable back to its hypothesis. (Example shown on a reference account.)
15 / 22
IN THE PRODUCT — Ad ops — the Performance Agent’s morning   Product view · demo account data

Spend, CPI and live campaigns at a glance; the agent proposes the day’s moves. Pause high-CPI, refresh fatigued creative, reallocate to winners — each a hypothesis you review and execute.

HAWKY · AD OPS · DAILY BRIEF
The daily surface: spend, cost per install, campaigns launched and live — and a queue of proposed actions (pause high-CPI, refresh a fatigued static, reallocate) each with a View hypothesis and Review & Execute. This is where cost per subscription is held while volume grows. (Numbers are product-demo data.)
16 / 22
TWO OPTIMIZERS — Two loops, two dials, one memory

Scripts & testing raise hit rate. The Performance Agent lowers cost per subscription. Hit rate decides what deserves money; cost per subscription decides where money goes.

CREATIVE LOOP
Optimizes hit rate ↑
What deserves money. Script batch (each a hypothesis) → clean-room tests, one axis varied → staged reads → pattern update. Result: 2/10 → 3+/10.
PERFORMANCE AGENT
Optimizes cost / sub ↓
Where money goes. Graduated winners at scale → continuous reads (cost/sub, frequency, CPM drift) → hourly reallocation → fatigue rotation. Result: cost/sub held ≤ target.
both read and write the same memory — FeatherDB · cost & fatigue signals re-brief the next scripts
17 / 22
THE ENGINE — Three agents fill the pipeline daily

Proven, borrowed, and new — in a fixed mix. Recombination first: a proven axis crossed with one new one, never two new axes in a single ad.

60%
Winner Expansion Engine
Top spenders of the last 10 days, expanded one DNA axis at a time — new hook on a proven body; a proven Telugu winner re-hypothesized in Tamil. Fatigue-checked.
~60% of volume
25%
White-Space Miner
What’s proven elsewhere that GyanTV hasn’t tried — competitor conviction crossed with catalog demand, confidence-ranked, rebuilt in GyanTV’s voice.
~25% of volume
15%
Trend Format Surfer
24–72h trend windows, brand-safety gated, autopsied for what actually drives them — proven topic × new format.
~15% of volume
18 / 22
MEMORY — FeatherDB — creative intelligence that stays current

Not a dashboard. A substrate. Captured, kept current, decayed when stale, and propagated where it matters next — so the engine compounds instead of resetting.

01 · CAPTURE
Everything, tagged
Every element, test and outcome — hooks, openers, music, archetypes, CTAs, language, geo, cost/sub — in one shared taxonomy.
02 · CONTEXT
Live state, queryable
What’s working right now, across categories and languages — queryable by every agent in real time.
03 · DECAY
Stickiness
Patterns decay when they go stale, so the library reflects what wins now — not last quarter.
04 · PROPAGATE
Where it matters
A win in one language or category is pushed to where it applies next — the memory compounds.
19 / 22
THE FULL PICTURE — After integration — one self-optimising learning loop

Data in, a thousand creatives out, every result learned from. The entity engine builds combinations, correlation finds the green patterns, external signals sharpen them, scripts and videos are generated at volume, agents launch — and performance returns to make the next cycle smarter.

THE LEARNING LOOPevery result trains FeatherDB — the next cycle starts smarter↻ PERFORMANCE → CREATIVE INTELLIGENCE01 · DATA INMeta & GoogleIntegration live —pull all your ad data02 · ENTITY ENGINEBuild combinationsentity × entity, scored bypersona · category ·language · region03 · CORRELATIONWin patternscross-map entities →green cells · FeatherDB04 · SCRIPTS300–400 / day30% data · 30% trends ·rest schemes · scored05 · VIDEOS~2,000 creativesrendered from scripts →Hawky inventory06 · AGENTS LAUNCH~1,000 liveagents push toMeta & GoogleEXTERNAL SIGNALS•  Competitor ads · decoded•  Google Trends · rising intent•  YouTube trends · formats•  Social variety · sounds/hooks•  Comments & user queries•  Govt / agri schemes · seasonalFUSED INTO CORRELATION + SCRIPTS
20 / 22
THROUGHPUT — From signals to ~1,000 live creatives — every day   Illustrative preview · targets from GyanTV’s own baselines

Script cards, scored and stacked; videos rendered at volume; agents push the winners live. The daily reality of the loop — automated end to end, with a human approving the batch.

SCRIPT CARD · AUTO-GENERATED
“Ration card in 10 minutes — zero broker”
Government Schemes · Telugu · 0–3s crisis hook
Govt Schemespitch: entitlementhook: crisisformat: talking-headTE
SUCCESS SCORE82 / 100 · data-backed
Every day the engine writes 300–400 script cards, each a scored hypothesis with its DNA and kill rule attached. The mix is deliberate: ~30% from your own winning data, ~30% from live trends & competitor conviction, and the rest from schemes & catalog demand. The success score ranks the batch, so only the strongest advance to production.
SIGNALS + DATA
Own data + external
Correlation patterns + trends + schemes.
SCRIPTS
300–400 / day
Each a scored card; 30% data · 30% trends · rest schemes.
VIDEOS
~2,000 / day
Auto-rendered from scripts, 4 languages.
INVENTORY
Hawky library
Every creative, DNA-tagged & queryable.
LAUNCH
~1,000 live
Agents push to Meta & Google.
performance returns to creative intelligence — tomorrow’s scripts start smarter
21 / 22
ROLLOUT — Live in two weeks — backtested before you bet on it

You judge the engine before a rupee moves. Week 1 decodes and backtests against ads you already know won or lost; week 2 goes live with your team approving everything.

WEEK 1
Decode & backtest
Ingest the back catalogue + live accounts; decode every creative; build benchmark bands per category × language; backtest against known winners & losers.
WEEK 2
Live pipeline
Daily batches into the production table; staged testing in clean rooms; first winners promoted. Auto-render off — your team approves.
WE NEED
From GyanTV
Ad-account access (Meta + Google, read first); category / claims list; competitor set; morning approvers.
JUDGED ON
Four numbers
Hit rate (winners/10, weekly); cost per sub-start (held as volume grows); trial→paid quality (by pitch, monthly); time-to-live (same day).
22 / 22
NEXT STEP — Your catalog already knows what Bharat wants to learn

Let’s make your ads learn it too. One working session to confirm the competitor set and category definitions — then week 1 begins.

SESSION
One working session
Confirm the competitor set and category / claims definitions.
THEN
Week 1 begins
Decode + backtest — judge the engine before a rupee moves.
OUTPUT
Hit rate climbs
More winners from the same production budget, week over week.