--- title: "Kolena vs Claude" url: "/kolena-vs-claude/" updated: 2026-08-19T01:58:35.387712+00:00 --- # Kolena vs Claude Prompt vs. Platform ![Claude](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079584677-imdhs.webp)Claude ≈ ![Kolena](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079585432-7334l1-images.webp)Kolena # Claude passes the demo. It breaks at scale. The build looks identical: write a prompt, add a document, get a clean extraction. But a demo is not a workflow. Run Claude across a thousand real documents and it breaks. It skips pages on long files, errors out mid-run, repeats stale answers on new batches, and gives no warning when it is wrong. What passes the demo is nowhere near production. [Book a demo](https://www.kolena.com/request-demo/) The same agent, 1,000 documents apart ## At document #1 they match. At #1,000 they don't. Left: the agent you built on Claude. Right: the same agent running on Kolena. Document #1Document #1,000 claude.ai ![Claude](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079584677-imdhs.webp)ClaudeDocument #1 Extract the lease terms from this PDF. Here you go:Landlord: Leonard Properties Tenant: Koala AI, Inc. Date of Lease: 12/07/2023 agents.kolena.com KOLENA ![Kolena](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079585432-7334l1-images.webp)KolenaRuns Runs ✓ 1 complete | | | | | | | --- | --- | --- | --- | --- | | File | Landlord | Tenant | Date | | | Multi\_Tenant\_Lease.pdf | Leonard Properties | Koala AI, Inc. | 12/07/2023 | ✓ | 99.2%**Every field cited to its source page.** Clean extraction on the first document. claude.ai ![Claude](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079584677-imdhs.webp)ClaudeDocument #1,000 This is an 80-page lease. Did you read the whole thing? Honestly, no, I didn't read all of it. Let me go back and reconcile. API error: unable to reach server · request #1,000 agents.kolena.com KOLENA ![Kolena](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079585432-7334l1-images.webp)KolenaRuns Runs ✓ 1,284 running | | | | | | | --- | --- | --- | --- | --- | | File | Landlord | Tenant | Date | | | Amendment\_2.pdf | Leonard Properties | Koala AI, Inc. | 12/07/2023 | ✓ | | **#1,000** · Office\_Lease.pdf | Leonard Properties | Koala AI, Inc. | 12/07/2023 | ✓ | | Amendment\_1.pdf | Leonard Properties | Koala AI, Inc. | 12/07/2023 | ✓ | 99.2%**Same accuracy at document #1,000 as at #1.** Reads every page, validated and monitored. Recognize one of these? Send us the document that broke your prototype, and we'll run it and show you what comes back. [Send the document →](https://www.kolena.com/request-demo/) Breakpoint · the real paper ### The paper is worse than your test set. You tested on a clean PDF. The real stack is an old scan, a fax of a fax, a copier smear. A chat build reads what it can and quietly leaves the rest blank. No flag, no error. Bad scan · document #742 COMMERCIAL LEASE AGREEMENT THIS LEASE AGREEMENT is made as of February 14, 2024, by and between NORTHGATE COMMONS, LLC ("Landlord") and RIDGELINE PARTNERS, LLC ("Tenant"). 1\. PREMISES. Landlord leases to Tenant Suite 240, approximately 8,400 rentable square feet. 2\. TERM. The initial term shall commence March 1, 2024 for eighty-four (84) months. 3\. BASE RENT. Tenant shall pay base rent of $18,450.00 per month, subject to 3.0% annual escalation. Extracted Tenantno value Commencementno value Base rentno value Escalationno value Breakpoint · silent staleness ## It “forgets” on the next batch. Run the next batch, a different set of leases, and the numbers come back identical to the last batch. It never actually read the new documents; it echoed the old answers. No error, no flag. Just last batch's values on this batch's files. Batch 1 of 2 complete ✓ Leases 1–500 Landlord**LEONARD PROPERTIES, LLC** Tenant**KOALA AI, INC.** Date of Lease**12/07/2023** Base rent**$18,450 / mo** Batch 2 of 2 complete ✓ Leases 501–1,000 · different documents Landlord**LEONARD PROPERTIES, LLC** Tenant**KOALA AI, INC.** Date of Lease**12/07/2023** Base rent**$18,450 / mo** Identical to Batch 1. A different set of leases returned the exact same values. Batch 2 was never actually read. Breakpoint · the last mile ### Extraction is easy. Delivery is the hard part. Claude can push results to your systems in any format you want. The catch is that you build and run that pipeline yourself: the integrations, the field-to-template mapping, the retries and error handling, and the upkeep every time the model or your workflow changes. Build it in Claude · you own the delivery pipeline ▤ Extracted fields DATA 🔌Integrations+1 AI engineer 🗂Template mapping+1 data engineer ↻Retries & errors\+ eval harness 📈Monitoring\+ on-call ◪ Your system of record You build & maintain all of this On Kolena ### The last mile is built in. Nothing to wire up. Results land in Drive, SharePoint, a webhook, or your warehouse, in your template, automatically on every run, with each value cited to its source. ![Kolena](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079585432-7334l1-images.webp) agents.kolena.com › Integrations Destinations · auto-export Google Drive Connected ✓ Webhook → your system Connected ✓ Word / Excel / CSV template Mapped The long tail ## Both start together. Only one finishes. Build the same agent on both, then turn up the volume. The gap isn't in the build. It opens as throughput climbs. A prototype proves the concept once. Production means the ten-thousandth document is as right as the first. ● Agent built on Claude Falls over ~document 20: API / server error Doesn't read every page of long documents Output drifts, needs reconciling Someone has to babysit it Cost climbs with volume ● Agent run on Kolena **1** document**20****200****2,000** / month Proof, not vibes ## Every value, cited to the page. "Did you read the whole thing?" stops being a question. On Kolena, each extracted field links to the exact page and clause it came from. Auditable, defensible, every run. ![Kolena](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079585432-7334l1-images.webp) agents.kolena.com › lease abstract › Runs › Second Amendment to Lease.pdf p. 3 / 28 SECOND AMENDMENT TO LEASE AGREEMENT THIS SECOND AMENDMENT is made as of April 18, 2025, by and between LEONARD PROPERTIES, LLC, a Nevada limited liability company ("Lessor"), and KOALA AI, INC. ("Lessee"). WHEREAS, Lessor and Lessee entered into that certain Standard Multi-Tenant Office Lease dated December 7, 2023 (the "Original Lease") for the premises at 7890 Smiley City Dr., Happy City, NV 12345; The term shall commence December 15, 2023 and continue through the Expiration Date of December 14, 2026, unless sooner terminated as provided herein. Renewal notice must be delivered no fewer than ninety (90) days prior to expiry per Section 12.3. LandlordLEONARD PROPERTIES, LLCp.3 TenantKOALA AI, INC.p.3 Date of Lease12/07/2023p.3 Term Comm.12/15/2023p.3 Renewal notice90 days§12.3 You're not the first to hit this wall. See the teams who had the same documents and chose a platform instead of a prototype. [Book a demo](https://www.kolena.com/request-demo/) The one that never closes ## Even past every breakpoint, the ground keeps moving. Say you cleared every breakpoint. You didn't build a tool. You signed up to run one. The model underneath drifts, gets deprecated, reprices, and goes down. None of it is in your prototype, and none of it stops. Since you shipped it Your model versionDeprecation scheduled Output on a later batchDrifted, no error ProviderDegraded · 2 hrs Token pricingChanged A newer model shipsRe-test everything …and it keeps going, every week. The work you don't see ## A running agent is mostly below the waterline Keeping it accurate in production is a full engineering discipline: the part enterprises staff at six figures, and the part a DIY build reinvents from scratch. Kolena runs it for you, and can show it. What you see ### “The Agent” A prompt, a document, an answer. The 5% above the surface. The 95% that keeps it reliable #### Model evaluation & selection Continuously test frontier models for accuracy and cost; switch only when one clearly wins. Automation Hub #### Model lifecycle management Catch drift and deprecation; migrate ahead of provider changes before your output moves. Monitored #### Live production monitoring See failures the moment they happen, not three months later in an audit. 99.2% tracked #### Consistent availability Throughput that doesn't depend on one provider having a good day. #### Change management & validation Prompt version control, ground-truth validation, a citation on every field, and access control. Ground Truth **None of this is in the prototype.** All of it is the difference between a demo and a workflow you can run a business on. The real cost ## Building it yourself still needs a team. Running this yourself isn't a line item for tokens. It's the people who build, host, evaluate, and maintain the agent as your workflows change. A recurring team cost on top of a subscription that itself scales with heavy agent-building usage. AI / ML engineer MLOps / infra Data engineer Evaluation & QA lead On-call for drift & outages Prompt / template owner Time to stand up one agent: **0** weeks · **0** specialist hires And it never finishes onboarding: **every time a workflow changes or a model updates, the work comes back.** The cost you can't buy back ## Even if you can afford it, it's the wrong focus. Grant it fully. An enterprise can hire, can pay, can build it. The question isn't whether you can. It's whether running an AI agent is what your team should spend its focus on. Every week and every hire spent on it is diverted from the work that makes you money, and you'd still be building competencies from scratch that a platform exists to provide. Spend your best people on your business The work that generates revenue Lease abstractionUnderwritingRent roll extractionUCC filingsLoss-run analysis …or on building & babysitting an agent Undifferentiated work a platform already does Prompt & template tuningEval harnessesModel migrationsOn-call & monitoringInfra & capacity The honest split ## Who should build, who should buy This isn't “never use a chatbot.” It's about matching the tool to the stakes. Build it yourself ### Use the assistant directly A few documents a month. One-off analyses. A person reviewing every output. At that scale a chat tool is exactly right, and cheaper than anything else. → Small team, low volume, human in the loop. Bring in the platform ### Run it on Kolena Real throughput. Accuracy and timeliness that must hold. Cost and audit pressure. When the workflow is the business, you need a platform, not a prototype. ![Kolena](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079585432-7334l1-images.webp) lease abstract **Input** Drive · S3 SharePoint Auto-ingest » **Agent · 26 prompts** Landlord Tenant Date · Term… » **Output** Excel template → your systems cited · monitored → Enterprise volume, accuracy, and accountability. What it looks like when it doesn't break ## Kolena just keeps running. Point it at the queue and walk away. It reads every page, holds accuracy, and lands results in your systems. A whole portfolio in one cycle, no one babysitting it. agents.kolena.com KOLENA ![Kolena](https://pdqnlfnubeegrfslxars.supabase.co/storage/v1/object/public/media/1787079585432-7334l1-images.webp)AI for CRE › **lease abstract** › RunsSA Processing ✓ 0 running · in parallel 0% | File | Landlord | Tenant | Date of Lease | Term Comm. | | | --- | --- | --- | --- | --- | --- | | Northgate\_Commons\_Lease.pdf | | | | | | | Harbor\_Point\_Retail.pdf | | | | | | | Cedar\_Ridge\_Office.pdf | | | | | | 99.2%**1,284 processed · 0 failed.** Every field validated and cited, auto-exported to Google Drive & your systems. In production at a private-lending customer: 96% less document-review labor · five days → same-day funding. See it on your own documents ## Keep the model. Lose the babysitting. Send us the document that broke your prototype: the 80-page lease, the bad scan, and we'll run it and show you what comes back, cited to the page. [Book a demo](https://www.kolena.com/request-demo/)