The harness for grounded and measurable GTM AI.
Evals API
A compounding feedback loop, graded on your buyer data. Misses and drift become prompt fixes, so agents continuously improve themselves.
Read how it works
Search API
Finds the patterns buried in your calls and CRM. Clustered, pre-analyzed, and cited, so agents build on proven data.
Read how it works
Example architecture
Your outbound agent with Amdahl, in the stack you already run.
See the example
Evals.
The Amdahl Evals API is a compounding feedback loop, graded on your buyer data.
Draft
Your agent writes
Eval score
2/ 5
Prompt fix
Drifts become fixes
Next run
5/ 5
Amdahl helps your agents catch drift and recursively improve on signals that drive revenue, so nobody spends hours a week rewriting and reviewing prompts.
Eval · Landing hero · headline + sub · 26 words
Draft under test
“Stop guessing. Start knowing. The AI-native revenue intelligence platform that turns every conversation into pipeline you can trust.”
Buyer-language match (%)
| Phrase | Buyer-language match (%) |
|---|---|
| “revenue intelligence” | 2 |
| “AI-native” | 6 |
| “pipeline you can trust” | 31 |
| “every conversation” | 44 |
| “Stop guessing” | 27 |
Phrase match
- Replace
“revenue intelligence”
Buyers say “why deals stall” · corpus 2%
- Replace
“AI-native”
Buyers say “can my agent query it” · corpus 6%
- Close — sharpen
“pipeline you can trust”
Buyers say “answers I can check” · corpus 31%
- Keep the idea
“every conversation”
Buyers say “calls + CRM together” · corpus 44%
- Concretize
“Stop guessing”
Buyers say “stop re-listening to calls” · corpus 27%
60 won-deal quotes · 12 cited · 4 shown
POST /api/platform/v1/evals/runWire it upSearch.
Clustered, pre-analyzed, and cited querying, so agents build on proven data.
Live demo of the Amdahl APIs: each question runs against a connected GTM corpus and returns evidence cited from real calls and CRM records.
Where did security reviews stall deals last quarter?. Result: 23 matches · 3 stall patterns. Deals citing: SOC 2 timing / bridge letter 14, Legal redlines on DPA 6, Pen-test evidence ask 3, SSO scoping 2. 14 deals cite SOC 2 timing — not price. The stall is paperwork, not conviction. Avg 24 days lost in the security loop; front-load the packet at Eval entry.
Which open deals have a champion who went quiet in the last 30 days?. Result: 9 deals · $1.4M at risk. Days silent: Vantiv · expansion 41, Corex · new logo 36, Helio · renewal+ 33, Braxton · new logo 31, Nimbus · expansion 30. 3 of 9 mentioned a reorg on their last call — champion risk, not deal risk. Re-engage Vantiv first: $320K and the EB was never multi-threaded.
What made buyers switch to us from Gong this year?. Result: 31 wins · 4 switch triggers. Wins citing: CRM + calls in one query 13, Cited, checkable answers 8, Agents can query it 6, Seat-price fatigue 4. Price is the 4th reason, not the 1st — lead battlecards with unified query, not cost. “Cited answers” shows up in 26% of switch stories; make it the demo's first beat.
Who offered discounts before the buyer even asked?. Result: 17 deals · $340K left on the table. Est. leakage ($K): T. Nguyen 126, L. Marsh 88, D. Okafor 67, K. Silva 41, P. Reyes 18. 16 of 17 concessions came inside 5 minutes of a budget mention — a reflex, not a strategy. Coach the pause: deals with no unprompted discount closed at the same rate.
Which renewals are quietly at risk — and what did the customer actually say?. Result: 6 flagged · 2 critical. Risk severity: Ferrous 91, Lumina 84, Paloma 62, Kestrel 58, Orchid 54. Ferrous said “consolidating vendors” in the QBR — nobody logged it in CRM. 2 critical accounts share one pattern: sponsor change + usage dip. Escalate both this week.
One MCP or API call.
Both APIs land in Claude, Cursor, or your own runtime, so your agents query and check their own work where you already build.
How the harness runs: a lead comes in, your agent pulls cited buyer evidence from the Amdahl Search API, drafts with your own model and prompt, the draft is graded by the Amdahl Evals API, and only a pass ships - for example a 4.6 of 5.
Get set up in 3 minutes.
Setup: connect sources such as Gong, HubSpot, and Salesforce; copy an API key from the Amdahl console; paste one command to mount the Amdahl MCP server. From then on your agents can search your buyer data and grade their drafts against it.
01
Connect
02
Copy a key
03
Paste one line
claude mcp add --transport http amdahl https://app.amdahl.ai/mcpExplore other use cases for Amdahl with your agent.
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